diff --git a/charts/README.md b/charts/README.md
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+# README
+
+## Repeatable Information Charts Kit
+
+This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib `fig` and `ax` object so that the figure can be furthere modified using matplotlib functions.
+
+### `geo.ttc(con)`
+
+Returns a geopandas dataframe of the TTC subway network.
+
+### `geo.island(con)`
+
+Returns a geopandas dataframe of the Toronto Island.
+
+### `charts.chloro_map(con, df, lower, upper, title, **kwargs)`
+
+This function creates a chloropleth map.
+
+The following arguments must be passed in order for the function to run.
+
+|argument|variable type|description|
+|-----|-----|-----|
+con|SQL Connection Object|Used to additional layers from the SQL database.
+df|GeoPandas DataFrame|Data for the chloropleth map. The data must only contain 2 columns; the first column has to be the `geom` column and the second has to be the data that needs to be mapped.
+lower|int|Lower bound for the colourmap
+upper|int|Upper bound for the colourmap
+title|str|Text string for the title text
+
+Additionally, there are optional arguments that can be passed to the function
+
+|argument|variable type|default|description|
+|-----|-----|-----|-----|
+subway|boolean|`False`|Flag to plot the subway network on the map. False indicates the subway network does not show up.
+island|boolean|`True`|Flag to plot the Toronto Islands as having no data. True indicates the islands are coloured the same as the Waterfront neighbourhood.
+cmap|str|`YlOrRd`|String to specify colourmap for the map.
+unit|str|`None`|Specifies if a unit should be added to the legend box. The automatic placement of the unit only works if the upper or lower are whole numbers.
+nbins|int|`2`|Number of ticks in the colourmap 
+
+### `charts.line_chart(data, ylab, xlab, **kwargs)`
+
+Produces a simple line chart. The xaxis is not formatted by this function and requires further manipulation with matplotlib. In addition, annotation boxes must be added on manually with a something like this:
+
+```python
+fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',
+         verticalalignment='top', ha = 'center', bbox=props, color = purple)
+```
+
+The function defines the styling with the `props` variable, so the only manipulations needed is the positioning and the text itself.
+
+The following arguments must be passed in order for the function to run.
+
+|argument|variable type|description|
+|-----|-----|-----|
+data|Series or list|Data for the chart
+ylab|str|Label for the yaxis
+xlab|str|Label for the xaxis
+
+Additionally, there are optional arguments that can be passed to the function
+
+|argument|variable type|default|description|
+|-----|-----|-----|-----|
+ymin|int|0|Lower bound for the yaxis
+ymax|int|The maximum value of the dataset|Upper bound for the yaxis
+yinc|int|One-third of the range of the data|Interval for the yaxis ticks
+
+### `charts.tow_chart(data, ylab, **kwargs)`
+
+Produces a 7-Day time of week chart that shows data points for each hour during one week. The xaxis is fixed to the 168 hours that produces the week, and the data must be ordered so that the first entry represents Monday at midnight.
+
+The following arguments must be passed in order for the function to run.
+
+|argument|variable type|description|
+|-----|-----|-----|
+data|Series or list|Data for the chart
+ylab|str|Label for the yaxis
+
+Additionally, there are optional arguments that can be passed to the function
+
+|argument|variable type|default|description|
+|-----|-----|-----|-----|
+ymin|int|0|Lower bound for the yaxis
+ymax|int|The maximum value of the dataset|Upper bound for the yaxis
+yinc|int|One-third of the range of the data|Interval for the yaxis ticks
\ No newline at end of file
diff --git a/charts/__init__.py b/charts/__init__.py
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--- /dev/null
+++ b/charts/__init__.py
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+from rick import *
\ No newline at end of file
diff --git a/charts/module_test.ipynb b/charts/module_test.ipynb
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--- /dev/null
+++ b/charts/module_test.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sqlalchemy import create_engine\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib as mpl\n",
+    "import pandas as pd \n",
+    "import configparser\n",
+    "from psycopg2 import connect\n",
+    "import psycopg2.sql as pg\n",
+    "import pandas.io.sql as pandasql\n",
+    "import numpy as np \n",
+    "import datetime\n",
+    "import math\n",
+    "import rick\n",
+    "import geopandas as gpd\n",
+    "import os\n",
+    "import shapely\n",
+    "from shapely.geometry import Point\n",
+    "#os.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\n",
+    "import importlib\n",
+    "import matplotlib.ticker as ticker\n",
+    "import matplotlib.font_manager as font_manager\n",
+    "CONFIG = configparser.ConfigParser()\n",
+    "CONFIG.read('/home/rliu/bdit_vfh/config.cfg')\n",
+    "dbset = CONFIG['DBSETTINGS']\n",
+    "con = connect(**dbset)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mpl.rcParams['figure.dpi'] = 450"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "query = '''\n",
+    "\n",
+    "WITH sum AS (\n",
+    "SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, \n",
+    "sum(count) as count  FROM ptc.trip_data_agg_neighbourhood\n",
+    "GROUP BY   pickup_datetime, pickup_neighbourhood\n",
+    "\n",
+    "), ward1 AS  (\n",
+    "\n",
+    "SELECT  avg(count) as count, pickup_neighbourhood from sum\n",
+    "WHERE (yr=2018 AND mon IN (9))\n",
+    "GROUP BY pickup_neighbourhood\n",
+    "ORDER BY count\n",
+    "), ward2 AS  (\n",
+    "\n",
+    "SELECT avg(count) as count, pickup_neighbourhood from sum\n",
+    "WHERE (yr=2016 AND mon IN (10))\n",
+    "GROUP BY pickup_neighbourhood\n",
+    "ORDER BY count\n",
+    ")\n",
+    "\n",
+    "SELECT pickup_neighbourhood,  geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a \n",
+    "LEFT JOIN ward1 b USING ( pickup_neighbourhood)\n",
+    "LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood\n",
+    "\n",
+    "'''\n",
+    "\n",
+    "data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')\n",
+    "data = data.to_crs({'init' :'epsg:3857'})\n",
+    "\n",
+    "for index, row in data.iterrows():\n",
+    "    rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))\n",
+    "    data.at[index, 'geom'] = rotated"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data=data[['geom', 'growth']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
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+      "text/plain": [
+       "<Figure size 3010.5x1505.25 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', \n",
+    "                                       island = False, cmap = 'YlGnBu', unit = '%', nbins = 3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "query='''\n",
+    "WITH daily_ave AS (\n",
+    "\n",
+    "SELECT * FROM ptc.daily_trips\n",
+    "), total AS  (\n",
+    "SELECT  extract(month from pickup_datetime) as mon,\n",
+    "extract(year from pickup_datetime) as yr,\n",
+    "\n",
+    "CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\n",
+    "WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\n",
+    "avg(count)::integer END as count FROM daily_ave\n",
+    "GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\n",
+    "ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n",
+    ")\n",
+    "\n",
+    "\n",
+    "SELECT \n",
+    "CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \n",
+    "WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \n",
+    "ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\n",
+    "END AS period, \n",
+    "count FROM total\n",
+    "'''\n",
+    "total=pandasql.read_sql(query, con)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "query='''\n",
+    "WITH daily_ave AS (\n",
+    "\n",
+    "SELECT * FROM ptc.daily_trips\n",
+    "), total AS  (\n",
+    "SELECT  extract(month from pickup_datetime) as mon,\n",
+    "extract(year from pickup_datetime) as yr,\n",
+    "\n",
+    "CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\n",
+    "WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\n",
+    "avg(count)::integer END as count FROM daily_ave\n",
+    "GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\n",
+    "ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n",
+    ")\n",
+    "\n",
+    "\n",
+    "SELECT \n",
+    "CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \n",
+    "WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \n",
+    "ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\n",
+    "END AS period, \n",
+    "count/2 as count FROM total\n",
+    "'''\n",
+    "total2=pandasql.read_sql(query, con)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 2745x1845 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n",
+    "#          verticalalignment='top', ha = 'center', bbox=props, color = purple)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 2745x1845 with 1 Axes>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fig"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "query = '''\n",
+    "\n",
+    "WITH sum AS (\n",
+    "\n",
+    "SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,\n",
+    "extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25\n",
+    "\n",
+    "\n",
+    "WHERE pickup_datetime > '2018-08-31'\n",
+    "GROUP BY pickup_datetime, hr\n",
+    "\n",
+    ")\n",
+    ", collect AS (\n",
+    "SELECT  avg(count) as count, hr, dow from sum\n",
+    "group by hr, dow)\n",
+    "\n",
+    "SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, \n",
+    "CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch\n",
+    "FROM collect\n",
+    "LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr\n",
+    "LEFT JOIN ptc.periods_simple USING (period_uid)\n",
+    "ORDER BY dow, hr\n",
+    "\n",
+    "'''\n",
+    "count_18 = pandasql.read_sql(query,con)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 2745x810 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "query = ''' \n",
+    "\n",
+    "WITH sum AS (\n",
+    "\n",
+    "SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25\n",
+    "LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short\n",
+    "\n",
+    "WHERE pickup_datetime > '2016-09-30'\n",
+    "GROUP BY pickup_datetime, area_name\n",
+    "), collect AS (\n",
+    "SELECT area_name, avg(count) as count, mon, yr from sum\n",
+    "group by area_name,  mon, yr)\n",
+    "\n",
+    ",tot1 AS (\n",
+    "\n",
+    "SELECT area_name, avg(count) as count FROM collect\n",
+    "WHERE (yr =2016 AND mon IN (10))\n",
+    "GROUP BY area_name\n",
+    "), tot2 AS (\n",
+    "\n",
+    "SELECT area_name, avg(count) as count FROM collect\n",
+    "WHERE (yr =2018 AND mon IN (9)) \n",
+    "GROUP BY area_name\n",
+    ")\n",
+    "SELECT SPLIT_PART(area_name, 'Community', 1) as area_name,\n",
+    "b.count as count1, a.count as count2 FROM tot1 b\n",
+    "LEFT JOIN tot2 a USING (area_name)\n",
+    "ORDER BY count1 ASC\n",
+    "'''\n",
+    "\n",
+    "district_cond = pandasql.read_sql(query, con)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 2745x1800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pass_data = {'cat': ['PTC','Taxi',  'Trip Making Population'],\n",
+    "        'TTC Pass': [22,16,16],\n",
+    "        }\n",
+    "\n",
+    "transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass'])\n",
+    "transit_pass  = transit_pass .reindex(index=transit_pass .index[::-1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>cat</th>\n",
+       "      <th>TTC Pass</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Trip Making Population</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Taxi</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>PTC</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      cat  TTC Pass\n",
+       "2  Trip Making Population        16\n",
+       "1                    Taxi        16\n",
+       "0                     PTC        22"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "transit_pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+      "text/plain": [
+       "<Figure size 2745x945 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>cat</th>\n",
+       "      <th>TTC Pass</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Trip Making Population</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Taxi</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>PTC</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      cat  TTC Pass\n",
+       "2  Trip Making Population        16\n",
+       "1                    Taxi        16\n",
+       "0                     PTC        22"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "transit_pass"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/charts/rick.py b/charts/rick.py
new file mode 100644
index 0000000..39b8bb8
--- /dev/null
+++ b/charts/rick.py
@@ -0,0 +1,592 @@
+# -*- coding: utf-8 -*-
+"""
+Version 0.8.0 
+
+
+"""
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import matplotlib.patches as patches
+import matplotlib.ticker as ticker
+import geopandas as gpd
+import os
+import shapely
+import seaborn as sns
+from shapely.geometry import Point
+import matplotlib.font_manager as font_manager
+import numpy as np
+
+class font:
+    """
+    Class defining the global font variables for all functions.
+    
+    """
+    
+    leg_font = font_manager.FontProperties(family='Libre Franklin',size=9)
+    normal = 'Libre Franklin'
+    semibold = 'Libre Franklin SemiBold'
+    
+    
+class colour:
+    """
+    Class defining the global colour variables for all functions.
+    
+    """
+    purple = '#660159'
+    grey = '#7f7e7e'
+    light_grey = '#777777'
+    cmap = 'YlOrRd'
+    
+class geo:
+    """
+    Class for additional gis layers needed for the cloropleth map.
+    
+    """
+    
+    def ttc(con):
+        """Function to return the TTC subway layer.
+        
+        Parameters
+        ------------
+        con : SQL connection object
+            Connection object needed to connect to the RDS
+        
+        Returns
+        --------
+        gdf
+            Geopandas Dataframe of the Subway Layer
+        
+        """
+        query = '''
+        
+        SELECT * FROM gis.subway_to
+        
+        '''
+        ttc = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
+        ttc = ttc.to_crs({'init' :'epsg:3857'})
+        
+        for index, row in ttc.iterrows():
+            rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))
+            ttc.loc[index, 'geom'] = rotated  
+        
+        return ttc
+    
+    def island(con):
+        
+        """Function to return a layer of the Toronto island. Since the island is classified in the same neighbourhood as the waterfront, in some cases its not completely accurate to show the island shares the same data as the waterfront. 
+        
+        Parameters
+        ------------
+        con : SQL connection object
+            Connection object needed to connect to the RDS
+        
+        Returns
+        --------
+        gdf
+            Geopandas Dataframe of the Toronto island.
+        
+        """
+        
+        query = '''
+
+        SELECT 
+        geom
+        FROM tts.zones_tts06
+        WHERE gta06 = 81
+
+        '''
+
+        island =  gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
+        island  = island.to_crs({'init' :'epsg:3857'})
+
+        for index, row in island.iterrows():
+            rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) 
+            island.loc[index, 'geom'] = rotated
+
+        return island
+    
+class charts:
+    """
+    Class defining all the charting functions.
+    
+    """
+    
+    global func
+    def func():
+        
+        """Function to set global settings for the charts class. 
+        
+        """
+        
+        sns.set(font_scale=1.5) 
+        mpl.rc('font',family='Libre Franklin')
+    
+    def chloro_map(con, df, lower, upper, title, **kwargs):
+        """Creates a chloropleth map
+        
+        Parameters
+        -----------
+        con : SQL connection object
+            Connection object needed to connect to the RDS
+        df : GeoPandas Dataframe
+            Data for the chloropleth map. The data must only contain 2 columns; the first column has to be the geom column and the second has to be the data that needs to be mapped.
+        lower : int
+            Lower bound for colourmap
+        upper : int
+            Upper bound for the colourmap
+        title : str
+            Legend label
+        subway : boolean, optional, default: False
+            True to display subway on the map
+        island : boolean, optional, defailt: True
+            False to grey out the Toronto island
+        cmap : str, optional, default: YlOrRd
+            Matplotlib colourmap to use for the map
+        unit : str, optional
+            Unit to append to the end of the legend tick
+        nbins : int, optional, defualt: 2
+            Number of ticks in the colourmap
+            
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+            
+        """
+        
+        func()
+        subway = kwargs.get('subway', False)
+        island = kwargs.get('island', True)
+        cmap = kwargs.get('cmap', colour.cmap)
+        unit = kwargs.get('unit', None)
+        nbins = kwargs.get('nbins', 2)
+        
+        df.columns = ['geom', 'values']
+        light = '#d9d9d9'
+
+        fig, ax = plt.subplots()
+        fig.set_size_inches(6.69,3.345)
+         
+        ax.set_yticklabels([])
+        ax.set_xticklabels([])
+        ax.set_axis_off()
+    
+        mpd = df.plot(column='values', ax=ax, vmin=lower, vmax=upper,  cmap = cmap, edgecolor = 'w', linewidth = 0.5)
+        
+        if island == False:
+            island_grey = geo.island(con)
+            island_grey.plot(ax=ax, edgecolor = 'w', linewidth = 4,  color = light)
+            island_grey.plot(ax=ax, edgecolor = 'w', linewidth = 0,  color = light)
+         
+        if subway == True:
+            ttc_df = geo.ttc(con)
+            line = ttc_df.plot( ax=ax, linewidth =4, color = 'w', alpha =0.6) # ttc subway layer
+            line = ttc_df.plot( ax=ax, linewidth =2, color = 'k', alpha =0.4) # ttc subway layer
+    
+         
+        props = dict(boxstyle='round', facecolor='w', alpha=0)
+        plt.text(0.775, 0.37, title, transform=ax.transAxes, wrap = True, fontsize=7, fontname = font.semibold,
+                verticalalignment='bottom', bbox=props, fontweight = 'bold') # Adding the Legend Title
+         
+        
+        cax = fig.add_axes([0.718, 0.16, 0.01, 0.22]) # Size of colorbar
+         
+        rect = patches.Rectangle((0.76, 0.01),0.235,0.43,linewidth=0.5, transform=ax.transAxes, edgecolor=light,facecolor='none')
+        ax.add_patch(rect)
+        
+        ax.margins(0.1)
+         
+        sm = plt.cm.ScalarMappable(cmap=cmap, norm=plt.Normalize(vmin=lower, vmax=upper))
+        sm._A = []
+        cbr = fig.colorbar(sm, cax=cax)
+        cbr.outline.set_linewidth(0)
+        tick_locator = ticker.MaxNLocator(nbins=nbins)
+        cbr.locator = tick_locator
+        cbr.update_ticks()
+        cbr.ax.yaxis.set_tick_params(width=0.5)
+        cbr.ax.tick_params(labelsize=6)  # Formatting for Colorbar Text
+        for l in cbr.ax.yaxis.get_ticklabels():
+            l.set_family(font.normal)
+        
+        if unit is not None:
+            if 0 < upper < 10:
+                ax.text(0.829, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left') 
+            elif 10 <= upper < 100:
+                ax.text(0.839, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left')
+            elif 100 <= upper < 1000:
+                ax.text(0.851, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left')
+            elif 1000 <= upper < 100000:
+                ax.text(0.862, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left')
+            else:
+                pass
+            
+        
+        return fig, ax
+    
+    def line_chart(data, ylab, xlab, **kwargs):
+        """Creates a line chart. x axis must be modified manually
+        
+        Parameters
+        -----------
+        data : array like or scalar
+            Data for the line chart.
+        ylab : str
+            Label for the y axis.
+        xlab : str
+            Label for the x axis.
+        ymax : int, optional, default is the max y value
+            The max value of the y axis
+        ymin : int, optional, default is 0
+            The minimum value of the y axis
+        baseline : array like or scalar, optional, default is None
+            Data for another line representing the baseline.
+        yinc : int, optional
+            The increment of ticks on the y axis.
+        
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+        props
+            Dictionary of the text annotation properties
+            
+        """
+        
+        func()
+        ymax = kwargs.get('ymax', int(data.max()))
+        ymin = kwargs.get('ymin', 0)
+        baseline = kwargs.get('baseline', None)
+        
+        delta = (ymax - ymin)/4
+        i = 0
+        while True:
+            delta /= 10
+            i += 1
+            if delta < 10:
+                break
+        yinc = kwargs.get('yinc', int(round(delta+1)*pow(10,i)))
+        
+        fig, ax =plt.subplots()
+        ax.plot(data ,linewidth=3, color = colour.purple)
+        if baseline is not None:
+            ax.plot(baseline ,linewidth=3, color = colour.grey)
+
+        plt.grid()
+        ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
+
+        ax.set_facecolor('xkcd:white')
+
+        plt.xlabel(xlab, fontsize=9, fontweight = 'bold', horizontalalignment='right', x=0, labelpad=10, 
+                   fontname = font.normal)
+        ax.grid(color='k', linestyle='-', linewidth=0.2)
+        plt.ylabel(ylab, fontsize=9, fontweight = 'bold',
+                   horizontalalignment='right', y=1.0, 
+                   labelpad=10, fontname = font.normal)
+        fig.set_size_inches(6.1, 4.1)
+        plt.xticks(fontsize=9, fontname = font.normal)
+        plt.yticks(range(ymin, ymax + yinc, yinc), fontsize =9,
+                   fontname = font.normal)
+
+        props = dict(boxstyle='round, pad=0.4',edgecolor=colour.purple,
+                     linewidth = 2, facecolor = 'w', alpha=1)
+
+        ax.set_ylim([ymin, ymax])
+        fig.patch.set_facecolor('w')
+        
+        return fig, ax, props
+    
+    def tow_chart(data, ylab, **kwargs):
+        """Creates a 7 day time of week line chart. Each data point represents 1 hour out of 168 hours.
+        
+        Parameters
+        -----------
+        data : array like or scalar
+            Data for the tow chart. Data must only have 168 entries, with row 0 representing Monday at midnight.
+        ylab : str
+            Label for the y axis.
+        ymax : int, optional, default is the max y value
+            The max value of the y axis
+        ymin : int, optional, default is 0
+            The minimum value of the y axis
+        yinc : int, optional
+            The increment of ticks on the y axis.
+        
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+        props
+            Dictionary of the text annotation properties
+            
+        """
+        func()
+        ymax = kwargs.get('ymax', None)
+        ymin = kwargs.get('ymin', 0)
+        
+        
+        ymax_flag = True
+        if ymax == None:
+            ymax = int(data.max())
+            ymax_flag = False
+        
+        delta = (ymax - ymin)/3
+        i = 0
+        while True:
+            delta /= 10
+            i += 1
+            if delta < 10:
+                break
+        yinc = kwargs.get('yinc', int(round(delta+1)*pow(10,i)))
+        
+        if ymax_flag == True:
+            upper = ymax
+        else:
+            upper = int(3*yinc+ymin)
+        
+        fig, ax =plt.subplots()
+        ax.plot(data, linewidth = 2.5, color = colour.purple)
+
+        plt.grid()
+        ax.set_facecolor('xkcd:white')
+
+        plt.xlabel('Time of week', fontname = font.normal, fontsize=9, horizontalalignment='left', x=0, labelpad=3, fontweight = 'bold')
+        ax.set_ylim([ymin,upper])
+
+        ax.grid(color='k', linestyle='-', linewidth=0.2)
+        plt.ylabel(ylab, fontname = font.normal, fontsize=9, horizontalalignment='right', y=1, labelpad=7, fontweight = 'bold')
+        fig.set_size_inches(6.1, 1.8)
+
+
+        ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
+        plt.yticks(range(ymin,upper+int(0.1*yinc), yinc), fontsize =9, fontname = font.normal)
+
+        ax.set_xticks(range(0,180,12))
+        ax.set_xticklabels(['0','12','0','12',
+                                                            '0','12','0','12',
+                                         '0','12','0','12','0','12'], fontname = font.normal, fontsize = 7, color = colour.light_grey)
+
+        ax.xaxis.set_minor_locator(ticker.FixedLocator(list(range(12,180,24))))
+        ax.xaxis.set_minor_formatter(ticker.FixedFormatter(['Monday','Tuesday',
+                                                            'Wednesday','Thursday',
+                                         'Friday','Saturday','Sunday']))
+        ax.tick_params(axis='x', which='minor', colors = 'k', labelsize=9, pad =14)
+
+        props = dict(boxstyle='round, pad=0.3',edgecolor=colour.purple, linewidth = 1.5, facecolor = 'w', alpha=1)
+
+        ax.set_xlim([0,167])
+        return fig, ax, props
+
+    def stacked_chart(data_in, xlab, lab1, lab2, **kwargs):
+        """Creates a stacked bar chart comparing 2 sets of data
+        
+        Parameters
+        -----------
+        data : dataframe
+            Data for the stacked bar chart. The dataframe must have 3 columns, the first representing the y ticks, the second representing the baseline, and the third representing the next series of data.
+        xlab : str
+            Label for the x axis.
+        lab1 : str
+            Label in the legend for the baseline
+        lab2 : str
+            Label in the legend fot the next data series
+        xmax : int, optional, default is the max s value
+            The max value of the y axis
+        xmin : int, optional, default is 0
+            The minimum value of the x axis
+        precision : int, optional, default is -1
+            Decimal places in the annotations
+        percent : boolean, optional, default is False
+            Whether the annotations should be formatted as percentages
+            
+        xinc : int, optional
+            The increment of ticks on the x axis.
+        
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+            
+        """
+        
+        func()
+        data = data_in.copy(deep=True)
+        
+        data.columns = ['name', 'values1', 'values2']
+        
+        xmin = kwargs.get('xmin', 0)
+        xmax = kwargs.get('xmax', None)
+        precision = kwargs.get('precision', -1)
+        percent = kwargs.get('percent', False)
+        
+        xmax_flag = True
+        if xmax == None:
+            xmax = int(max(data[['values1', 'values2']].max()))
+            xmax_flag = False
+        
+        delta = (xmax - xmin)/4
+        i = 0
+        while True:
+            delta /= 10
+            i += 1
+            if delta < 10:
+                break
+        xinc = kwargs.get('xinc', int(round(delta+1)*pow(10,i)))
+
+        if xmax_flag == True:
+            upper = xmax
+        else:
+            upper = int(4*xinc+xmin)
+        
+        ind = np.arange(len(data))
+
+        fig, ax = plt.subplots()
+        fig.set_size_inches(6.1, len(data))
+        ax.grid(color='k', linestyle='-', linewidth=0.25)
+
+        p1 = ax.barh(ind+0.4, data['values1'], 0.4, align='center', color = colour.grey)
+        p2 = ax.barh(ind, data['values2'], 0.4, align='center', color = colour.purple)
+        ax.xaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
+
+        ax.xaxis.grid(True)
+        ax.yaxis.grid(False)
+        ax.set_yticks(ind+0.4/2)
+        ax.set_xlim(0,upper)
+        ax.set_yticklabels(data['name'])
+        ax.set_xlabel(xlab,  horizontalalignment='left', x=0, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold')
+
+        ax.set_facecolor('xkcd:white')
+        j=0
+        
+        if precision < 1:
+            data[['values1', 'values2']] = data[['values1', 'values2']].astype(int)
+        for i in data['values2']:
+            if i < 0.1*upper:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
+            else:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
+            j=j+1
+        j=0.4
+        for i in data['values1']:
+            if i < 0.1*upper:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i+0.015*upper, j-0.05), ha = 'left', color = 'k', fontname = font.normal, fontsize=10)
+            else:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
+            j=j+1
+
+        
+        ax.legend((p1[0], p2[0]), (lab1, lab2), loc=4, frameon=False, prop=font.leg_font)
+        plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = font.normal, fontsize =10)
+        plt.yticks( fontname = font.normal, fontsize =10)
+        
+        if percent == True:
+            data_yoy = data
+            data_yoy['percent'] = (data['values2']-data['values1'])*100/data['values1']
+            j=0.15
+            for index, row in data_yoy.iterrows():
+                ax.annotate('+'+str(format(int(round(row['percent'],0)), ','))+'%', xy=(max(row[['values1', 'values2']]) + 0.03*upper, j), 
+                                                                                           color = 'k', fontname = font.normal, fontsize=10)
+                j=j+1
+                
+
+        return fig, ax
+    
+    def bar_chart(data_in, xlab,**kwargs):
+        """Creates a bar chart
+        
+        Parameters
+        -----------
+        data : dataframe
+            Data for the bar chart. The dataframe must have 2 columns, the first representing the y ticks, and the second representing the data
+        xlab : str
+            Label for the x axis.
+        xmax : int, optional, default is the max s value
+            The max value of the y axis
+        xmin : int, optional, default is 0
+            The minimum value of the x axis
+        precision : int, optional, default is -1
+            Decimal places in the annotations
+            
+        xinc : int, optional
+            The increment of ticks on the x axis.
+        
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+            
+        """
+        func()
+        data = data_in.copy(deep=True)
+        
+        data.columns = ['name', 'values1']
+        
+        xmin = kwargs.get('xmin', 0)
+        xmax = kwargs.get('xmax', None)
+        precision = kwargs.get('precision', 0)
+        
+        xmax_flag = True
+        if xmax == None:
+            xmax = data['values1'].max()
+            xmax_flag = False
+
+        delta = (xmax - xmin)/4
+        i = 0
+        while True:
+            if delta < 10:
+                break
+            delta /= 10
+            i += 1
+        xinc = kwargs.get('xinc', int(round(delta+1)*pow(10,i)))
+
+        if xmax_flag == True:
+            upper = xmax
+        else:
+            upper = int(4*xinc+xmin)
+        
+        ind = np.arange(len(data))
+
+        fig, ax = plt.subplots()
+        fig.set_size_inches(6.1, len(data)*0.7)
+        ax.grid(color='k', linestyle='-', linewidth=0.25)
+        p2 = ax.barh(ind, data['values1'], 0.75, align='center', color = colour.purple)
+        ax.xaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
+
+        ax.xaxis.grid(True)
+        ax.yaxis.grid(False)
+        ax.set_yticks(ind)
+        ax.set_xlim(0,upper)
+        ax.set_yticklabels(data['name'])
+        ax.set_xlabel(xlab,  horizontalalignment='left', x=0, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold')
+
+        ax.set_facecolor('xkcd:white')
+        j=0
+        
+        if precision < 1:
+            data['values1'] = data['values1'].astype(int)
+
+        j=0
+        for i in data['values1']:
+            if i < 0.1*upper:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i+0.015*upper, j-0.05), ha = 'left', color = 'k', fontname = font.normal, fontsize=10)
+            else:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
+            j=j+1
+
+        
+        plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = font.normal, fontsize =10)
+        plt.yticks( fontname = font.normal, fontsize =10)
+        
+        return fig, ax
diff --git a/charts/setup.py b/charts/setup.py
new file mode 100644
index 0000000..61bf0b2
--- /dev/null
+++ b/charts/setup.py
@@ -0,0 +1,17 @@
+from setuptools import setup, find_packages
+
+setup(
+    name='rick',
+    version='0.2.1',
+    description='Standardized matplotlib charts and graphs',
+    packages=find_packages(),
+    install_requires=[
+        'matplotlib',
+        'psycopg2-binary',
+        'geopandas',
+        'pandas',
+        'shapely',
+        'seaborn'
+    ],
+    python_requires='>=3'
+)
diff --git a/charts/sphinx/Makefile b/charts/sphinx/Makefile
new file mode 100644
index 0000000..a4e06d0
--- /dev/null
+++ b/charts/sphinx/Makefile
@@ -0,0 +1,20 @@
+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line.
+SPHINXOPTS    =
+SPHINXBUILD   = sphinx-build
+SPHINXPROJ    = VFHCharts
+SOURCEDIR     = .
+BUILDDIR      = _build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
\ No newline at end of file
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diff --git a/charts/sphinx/auto_examples/index.rst b/charts/sphinx/auto_examples/index.rst
new file mode 100644
index 0000000..3df34af
--- /dev/null
+++ b/charts/sphinx/auto_examples/index.rst
@@ -0,0 +1,139 @@
+:orphan:
+
+
+
+.. _sphx_glr_auto_examples:
+
+Gallery of Charts
+==================
+
+Below is a gallery of example charts for each charting function in rick.charts. 
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a bar chart. ">
+
+.. only:: html
+
+    .. figure:: /auto_examples/images/thumb/sphx_glr_plot_bar_thumb.png
+
+        :ref:`sphx_glr_auto_examples_plot_bar.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_bar
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a time of week chart. ">
+
+.. only:: html
+
+    .. figure:: /auto_examples/images/thumb/sphx_glr_plot_tow_thumb.png
+
+        :ref:`sphx_glr_auto_examples_plot_tow.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_tow
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a stacked bar chart. ">
+
+.. only:: html
+
+    .. figure:: /auto_examples/images/thumb/sphx_glr_plot_stacked_thumb.png
+
+        :ref:`sphx_glr_auto_examples_plot_stacked.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_stacked
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a chloropleth map. ">
+
+.. only:: html
+
+    .. figure:: /auto_examples/images/thumb/sphx_glr_plot_chloropleth_thumb.png
+
+        :ref:`sphx_glr_auto_examples_plot_chloropleth.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_chloropleth
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a line chart, with an additional baseline plot and custom formatted x axis....">
+
+.. only:: html
+
+    .. figure:: /auto_examples/images/thumb/sphx_glr_plot_line_thumb.png
+
+        :ref:`sphx_glr_auto_examples_plot_line.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_line
+.. raw:: html
+
+    <div style='clear:both'></div>
+
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-gallery
+
+
+  .. container:: sphx-glr-download
+
+    :download:`Download all examples in Python source code: auto_examples_python.zip </C:/Users/rliu4/Documents/GitHub/bdit_python_utilities/charts/auto_examples/auto_examples_python.zip>`
+
+
+
+  .. container:: sphx-glr-download
+
+    :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </C:/Users/rliu4/Documents/GitHub/bdit_python_utilities/charts/auto_examples/auto_examples_jupyter.zip>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/charts/sphinx/auto_examples/plot_bar.ipynb b/charts/sphinx/auto_examples/plot_bar.ipynb
new file mode 100644
index 0000000..809b2df
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_bar.ipynb
@@ -0,0 +1,72 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nBar Chart\n==================\n\nMakes an example of a bar chart.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Data Collection\n----------------\n\nThis creates a test dataframe to use\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "pass_data = {'cat': ['PTC','Taxi',  'Trip Making Population'],\n        'TTC Pass': [22,16,16],\n        }\n\ntransit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass'])\ntransit_pass  = transit_pass .reindex(index=transit_pass .index[::-1])\n\nfig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.6.4"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/charts/sphinx/auto_examples/plot_bar.py b/charts/sphinx/auto_examples/plot_bar.py
new file mode 100644
index 0000000..fa7c407
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_bar.py
@@ -0,0 +1,41 @@
+"""
+Bar Chart
+==================
+
+Makes an example of a bar chart.
+"""
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+################################
+#Data Collection
+#----------------
+#
+#This creates a test dataframe to use
+pass_data = {'cat': ['PTC','Taxi',  'Trip Making Population'],
+        'TTC Pass': [22,16,16],
+        }
+
+transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass'])
+transit_pass  = transit_pass .reindex(index=transit_pass .index[::-1])
+
+fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')
\ No newline at end of file
diff --git a/charts/sphinx/auto_examples/plot_bar.py.md5 b/charts/sphinx/auto_examples/plot_bar.py.md5
new file mode 100644
index 0000000..173dec7
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_bar.py.md5
@@ -0,0 +1 @@
+be7a35fbbb8848ab2f0bb41f068c9e81
\ No newline at end of file
diff --git a/charts/sphinx/auto_examples/plot_bar.rst b/charts/sphinx/auto_examples/plot_bar.rst
new file mode 100644
index 0000000..c20872e
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_bar.rst
@@ -0,0 +1,101 @@
+.. note::
+    :class: sphx-glr-download-link-note
+
+    Click :ref:`here <sphx_glr_download_auto_examples_plot_bar.py>` to download the full example code
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_bar.py:
+
+
+Bar Chart
+==================
+
+Makes an example of a bar chart.
+
+
+.. code-block:: default
+
+
+    from sqlalchemy import create_engine
+    import matplotlib.pyplot as plt
+    import matplotlib as mpl
+    import pandas as pd 
+    import configparser
+    from psycopg2 import connect
+    import psycopg2.sql as pg
+    import pandas.io.sql as pandasql
+    import numpy as np 
+    import datetime
+    import math
+    import rick
+    import geopandas as gpd
+    import os
+    import shapely
+    from shapely.geometry import Point
+    os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+    import importlib
+    import matplotlib.ticker as ticker
+    import matplotlib.font_manager as font_manager
+
+
+
+
+
+
+
+Data Collection
+----------------
+
+This creates a test dataframe to use
+
+
+.. code-block:: default
+
+    pass_data = {'cat': ['PTC','Taxi',  'Trip Making Population'],
+            'TTC Pass': [22,16,16],
+            }
+
+    transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass'])
+    transit_pass  = transit_pass .reindex(index=transit_pass .index[::-1])
+
+    fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_bar_001.png
+    :class: sphx-glr-single-img
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  27.838 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_bar.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Python source code: plot_bar.py <plot_bar.py>`
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Jupyter notebook: plot_bar.ipynb <plot_bar.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/charts/sphinx/auto_examples/plot_chloropleth.ipynb b/charts/sphinx/auto_examples/plot_chloropleth.ipynb
new file mode 100644
index 0000000..6ca3186
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_chloropleth.ipynb
@@ -0,0 +1,126 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nChloropleth Map\n==================\n\nMakes an example of a chloropleth map.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "query = '''\n\nWITH sum AS (\nSELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, \nsum(count) as count  FROM ptc.trip_data_agg_neighbourhood\nGROUP BY   pickup_datetime, pickup_neighbourhood\n\n), ward1 AS  (\n\nSELECT  avg(count) as count, pickup_neighbourhood from sum\nWHERE (yr=2018 AND mon IN (9))\nGROUP BY pickup_neighbourhood\nORDER BY count\n), ward2 AS  (\n\nSELECT avg(count) as count, pickup_neighbourhood from sum\nWHERE (yr=2016 AND mon IN (10))\nGROUP BY pickup_neighbourhood\nORDER BY count\n)\n\nSELECT pickup_neighbourhood,  geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a \nLEFT JOIN ward1 b USING ( pickup_neighbourhood)\nLEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood\n\n'''"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Rotates data 17 degrees to orient Toronto perpendicularly\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')\ndata = data.to_crs({'init' :'epsg:3857'})\n\nfor index, row in data.iterrows():\n    rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))\n    data.at[index, 'geom'] = rotated"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "The function only needs these columns, in this order\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "data=data[['geom', 'growth']]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Calls the Function\n\n\n\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', \n                                       island = False,  unit = '%', nbins = 3)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.6.4"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/charts/sphinx/auto_examples/plot_chloropleth.py b/charts/sphinx/auto_examples/plot_chloropleth.py
new file mode 100644
index 0000000..600cdce
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_chloropleth.py
@@ -0,0 +1,86 @@
+"""
+Chloropleth Map
+==================
+
+Makes an example of a chloropleth map.
+"""
+
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+
+################################
+#Data Collection
+#----------------
+#
+#This Section grabs and formats the data.
+query = '''
+
+WITH sum AS (
+SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, 
+sum(count) as count  FROM ptc.trip_data_agg_neighbourhood
+GROUP BY   pickup_datetime, pickup_neighbourhood
+
+), ward1 AS  (
+
+SELECT  avg(count) as count, pickup_neighbourhood from sum
+WHERE (yr=2018 AND mon IN (9))
+GROUP BY pickup_neighbourhood
+ORDER BY count
+), ward2 AS  (
+
+SELECT avg(count) as count, pickup_neighbourhood from sum
+WHERE (yr=2016 AND mon IN (10))
+GROUP BY pickup_neighbourhood
+ORDER BY count
+)
+
+SELECT pickup_neighbourhood,  geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a 
+LEFT JOIN ward1 b USING ( pickup_neighbourhood)
+LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood
+
+'''
+################################
+# Rotates data 17 degrees to orient Toronto perpendicularly
+data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
+data = data.to_crs({'init' :'epsg:3857'})
+
+for index, row in data.iterrows():
+    rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))
+    data.at[index, 'geom'] = rotated
+
+################################
+#The function only needs these columns, in this order
+data=data[['geom', 'growth']]
+
+
+################################
+# Calls the Function
+#
+#
+#
+fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', 
+                                       island = False,  unit = '%', nbins = 3)
+
diff --git a/charts/sphinx/auto_examples/plot_chloropleth.py.md5 b/charts/sphinx/auto_examples/plot_chloropleth.py.md5
new file mode 100644
index 0000000..505f194
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_chloropleth.py.md5
@@ -0,0 +1 @@
+ac70101036e76be6fb6fecd1270b730b
\ No newline at end of file
diff --git a/charts/sphinx/auto_examples/plot_chloropleth.rst b/charts/sphinx/auto_examples/plot_chloropleth.rst
new file mode 100644
index 0000000..afc09fb
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_chloropleth.rst
@@ -0,0 +1,174 @@
+.. note::
+    :class: sphx-glr-download-link-note
+
+    Click :ref:`here <sphx_glr_download_auto_examples_plot_chloropleth.py>` to download the full example code
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_chloropleth.py:
+
+
+Chloropleth Map
+==================
+
+Makes an example of a chloropleth map.
+
+
+.. code-block:: default
+
+
+
+    from sqlalchemy import create_engine
+    import matplotlib.pyplot as plt
+    import matplotlib as mpl
+    import pandas as pd 
+    import configparser
+    from psycopg2 import connect
+    import psycopg2.sql as pg
+    import pandas.io.sql as pandasql
+    import numpy as np 
+    import datetime
+    import math
+    import rick
+    import geopandas as gpd
+    import os
+    import shapely
+    from shapely.geometry import Point
+    os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+    import importlib
+    import matplotlib.ticker as ticker
+    import matplotlib.font_manager as font_manager
+    CONFIG = configparser.ConfigParser()
+    CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+    dbset = CONFIG['DBSETTINGS']
+    con = connect(**dbset)
+
+
+
+
+
+
+
+Data Collection
+----------------
+
+This Section grabs and formats the data.
+
+
+.. code-block:: default
+
+    query = '''
+
+    WITH sum AS (
+    SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, 
+    sum(count) as count  FROM ptc.trip_data_agg_neighbourhood
+    GROUP BY   pickup_datetime, pickup_neighbourhood
+
+    ), ward1 AS  (
+
+    SELECT  avg(count) as count, pickup_neighbourhood from sum
+    WHERE (yr=2018 AND mon IN (9))
+    GROUP BY pickup_neighbourhood
+    ORDER BY count
+    ), ward2 AS  (
+
+    SELECT avg(count) as count, pickup_neighbourhood from sum
+    WHERE (yr=2016 AND mon IN (10))
+    GROUP BY pickup_neighbourhood
+    ORDER BY count
+    )
+
+    SELECT pickup_neighbourhood,  geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a 
+    LEFT JOIN ward1 b USING ( pickup_neighbourhood)
+    LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood
+
+    '''
+
+
+
+
+
+
+Rotates data 17 degrees to orient Toronto perpendicularly
+
+
+.. code-block:: default
+
+    data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
+    data = data.to_crs({'init' :'epsg:3857'})
+
+    for index, row in data.iterrows():
+        rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))
+        data.at[index, 'geom'] = rotated
+
+
+
+
+
+
+
+The function only needs these columns, in this order
+
+
+.. code-block:: default
+
+    data=data[['geom', 'growth']]
+
+
+
+
+
+
+
+
+Calls the Function
+
+
+
+
+
+.. code-block:: default
+
+    fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', 
+                                           island = False,  unit = '%', nbins = 3)
+
+
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_chloropleth_001.png
+    :class: sphx-glr-single-img
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  18.050 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_chloropleth.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Python source code: plot_chloropleth.py <plot_chloropleth.py>`
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Jupyter notebook: plot_chloropleth.ipynb <plot_chloropleth.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/charts/sphinx/auto_examples/plot_line.ipynb b/charts/sphinx/auto_examples/plot_line.ipynb
new file mode 100644
index 0000000..9919a2c
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_line.ipynb
@@ -0,0 +1,126 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nLine Chart\n==================\n\nMakes an example of a line chart, with an additional baseline plot and custom formatted x axis.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "query='''\nWITH daily_ave AS (\n\nSELECT * FROM ptc.daily_trips\n), total AS  (\nSELECT  extract(month from pickup_datetime) as mon,\nextract(year from pickup_datetime) as yr,\n\nCASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\nWHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\navg(count)::integer END as count FROM daily_ave\nGROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\nORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n)\n\n\nSELECT \nCASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nWHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\nEND AS period, \ncount FROM total\n'''\ntotal=pandasql.read_sql(query, con)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Gets the baseline data (to be graphed in grey)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "query='''\nWITH daily_ave AS (\n\nSELECT * FROM ptc.daily_trips\n), total AS  (\nSELECT  extract(month from pickup_datetime) as mon,\nextract(year from pickup_datetime) as yr,\n\nCASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\nWHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\navg(count)::integer END as count FROM daily_ave\nGROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\nORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n)\n\n\nSELECT \nCASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nWHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\nEND AS period, \ncount/2 as count FROM total\n'''\ntotal2=pandasql.read_sql(query, con)\n\nfig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Adds annotations\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n         verticalalignment='top', ha = 'center', bbox=props, color = '#660159')"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Adds custom x axis\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "month_lst2 = ['Sept\\n2016',  'Jan\\n2017',  'May',  'Sept',\n               'Jan\\n2018', 'May',  'Sept', \n              'Jan\\n2019','May',]\nplt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.6.4"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/charts/sphinx/auto_examples/plot_line.py b/charts/sphinx/auto_examples/plot_line.py
new file mode 100644
index 0000000..5566d4c
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_line.py
@@ -0,0 +1,106 @@
+"""
+Line Chart
+==================
+
+Makes an example of a line chart, with an additional baseline plot and custom formatted x axis.
+"""
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+################################
+#Data Collection
+#----------------
+#
+#This Section grabs and formats the data.
+
+query='''
+WITH daily_ave AS (
+
+SELECT * FROM ptc.daily_trips
+), total AS  (
+SELECT  extract(month from pickup_datetime) as mon,
+extract(year from pickup_datetime) as yr,
+
+CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+avg(count)::integer END as count FROM daily_ave
+GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+)
+
+
+SELECT 
+CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+END AS period, 
+count FROM total
+'''
+total=pandasql.read_sql(query, con)
+################################
+#Gets the baseline data (to be graphed in grey)
+
+
+
+query='''
+WITH daily_ave AS (
+
+SELECT * FROM ptc.daily_trips
+), total AS  (
+SELECT  extract(month from pickup_datetime) as mon,
+extract(year from pickup_datetime) as yr,
+
+CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+avg(count)::integer END as count FROM daily_ave
+GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+)
+
+
+SELECT 
+CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+END AS period, 
+count/2 as count FROM total
+'''
+total2=pandasql.read_sql(query, con)
+
+fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])
+
+################################
+#Adds annotations
+fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',
+         verticalalignment='top', ha = 'center', bbox=props, color = '#660159')
+################################
+#Adds custom x axis
+month_lst2 = ['Sept\n2016',  'Jan\n2017',  'May',  'Sept',
+               'Jan\n2018', 'May',  'Sept', 
+              'Jan\n2019','May',]
+plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')
+
diff --git a/charts/sphinx/auto_examples/plot_line.py.md5 b/charts/sphinx/auto_examples/plot_line.py.md5
new file mode 100644
index 0000000..28129a2
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_line.py.md5
@@ -0,0 +1 @@
+34d2ce556b9095b518b49be14c46875f
\ No newline at end of file
diff --git a/charts/sphinx/auto_examples/plot_line.rst b/charts/sphinx/auto_examples/plot_line.rst
new file mode 100644
index 0000000..af24062
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_line.rst
@@ -0,0 +1,197 @@
+.. note::
+    :class: sphx-glr-download-link-note
+
+    Click :ref:`here <sphx_glr_download_auto_examples_plot_line.py>` to download the full example code
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_line.py:
+
+
+Line Chart
+==================
+
+Makes an example of a line chart, with an additional baseline plot and custom formatted x axis.
+
+
+.. code-block:: default
+
+
+    from sqlalchemy import create_engine
+    import matplotlib.pyplot as plt
+    import matplotlib as mpl
+    import pandas as pd 
+    import configparser
+    from psycopg2 import connect
+    import psycopg2.sql as pg
+    import pandas.io.sql as pandasql
+    import numpy as np 
+    import datetime
+    import math
+    import rick
+    import geopandas as gpd
+    import os
+    import shapely
+    from shapely.geometry import Point
+    os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+    import importlib
+    import matplotlib.ticker as ticker
+    import matplotlib.font_manager as font_manager
+
+
+    CONFIG = configparser.ConfigParser()
+    CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+    dbset = CONFIG['DBSETTINGS']
+    con = connect(**dbset)
+
+
+
+
+
+
+Data Collection
+----------------
+
+This Section grabs and formats the data.
+
+
+.. code-block:: default
+
+
+    query='''
+    WITH daily_ave AS (
+
+    SELECT * FROM ptc.daily_trips
+    ), total AS  (
+    SELECT  extract(month from pickup_datetime) as mon,
+    extract(year from pickup_datetime) as yr,
+
+    CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+    WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+    avg(count)::integer END as count FROM daily_ave
+    GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+    ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+    )
+
+
+    SELECT 
+    CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+    WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+    ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+    END AS period, 
+    count FROM total
+    '''
+    total=pandasql.read_sql(query, con)
+
+
+
+
+
+
+Gets the baseline data (to be graphed in grey)
+
+
+.. code-block:: default
+
+
+
+
+    query='''
+    WITH daily_ave AS (
+
+    SELECT * FROM ptc.daily_trips
+    ), total AS  (
+    SELECT  extract(month from pickup_datetime) as mon,
+    extract(year from pickup_datetime) as yr,
+
+    CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+    WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+    avg(count)::integer END as count FROM daily_ave
+    GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+    ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+    )
+
+
+    SELECT 
+    CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+    WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+    ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+    END AS period, 
+    count/2 as count FROM total
+    '''
+    total2=pandasql.read_sql(query, con)
+
+    fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])
+
+
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_line_001.png
+    :class: sphx-glr-single-img
+
+
+
+
+Adds annotations
+
+
+.. code-block:: default
+
+    fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',
+             verticalalignment='top', ha = 'center', bbox=props, color = '#660159')
+
+
+
+
+
+
+Adds custom x axis
+
+
+.. code-block:: default
+
+    month_lst2 = ['Sept\n2016',  'Jan\n2017',  'May',  'Sept',
+                   'Jan\n2018', 'May',  'Sept', 
+                  'Jan\n2019','May',]
+    plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')
+
+
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_line_002.png
+    :class: sphx-glr-single-img
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  1.126 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_line.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Python source code: plot_line.py <plot_line.py>`
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Jupyter notebook: plot_line.ipynb <plot_line.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/charts/sphinx/auto_examples/plot_stacked.ipynb b/charts/sphinx/auto_examples/plot_stacked.ipynb
new file mode 100644
index 0000000..1538a15
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_stacked.ipynb
@@ -0,0 +1,72 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nStacked Bar Chart\n==================\n\nMakes an example of a stacked bar chart.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "query = ''' \n\nWITH sum AS (\n\nSELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25\nLEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short\n\nWHERE pickup_datetime > '2016-09-30'\nGROUP BY pickup_datetime, area_name\n), collect AS (\nSELECT area_name, avg(count) as count, mon, yr from sum\ngroup by area_name,  mon, yr)\n\n,tot1 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2016 AND mon IN (10))\nGROUP BY area_name\n), tot2 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2018 AND mon IN (9)) \nGROUP BY area_name\n)\nSELECT SPLIT_PART(area_name, 'Community', 1) as area_name,\nb.count as count1, a.count as count2 FROM tot1 b\nLEFT JOIN tot2 a USING (area_name)\nORDER BY count1 ASC\n'''\n\ndistrict_cond = pandasql.read_sql(query, con)\n\nfig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.6.4"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/charts/sphinx/auto_examples/plot_stacked.py b/charts/sphinx/auto_examples/plot_stacked.py
new file mode 100644
index 0000000..eba03ff
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_stacked.py
@@ -0,0 +1,71 @@
+"""
+Stacked Bar Chart
+==================
+
+Makes an example of a stacked bar chart.
+"""
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+################################
+#Data Collection
+#----------------
+#
+#This Section grabs and formats the data.
+query = ''' 
+
+WITH sum AS (
+
+SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25
+LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short
+
+WHERE pickup_datetime > '2016-09-30'
+GROUP BY pickup_datetime, area_name
+), collect AS (
+SELECT area_name, avg(count) as count, mon, yr from sum
+group by area_name,  mon, yr)
+
+,tot1 AS (
+
+SELECT area_name, avg(count) as count FROM collect
+WHERE (yr =2016 AND mon IN (10))
+GROUP BY area_name
+), tot2 AS (
+
+SELECT area_name, avg(count) as count FROM collect
+WHERE (yr =2018 AND mon IN (9)) 
+GROUP BY area_name
+)
+SELECT SPLIT_PART(area_name, 'Community', 1) as area_name,
+b.count as count1, a.count as count2 FROM tot1 b
+LEFT JOIN tot2 a USING (area_name)
+ORDER BY count1 ASC
+'''
+
+district_cond = pandasql.read_sql(query, con)
+
+fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)
\ No newline at end of file
diff --git a/charts/sphinx/auto_examples/plot_stacked.py.md5 b/charts/sphinx/auto_examples/plot_stacked.py.md5
new file mode 100644
index 0000000..3a527f6
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_stacked.py.md5
@@ -0,0 +1 @@
+bc4ba97e19d6118abff095676cf5f856
\ No newline at end of file
diff --git a/charts/sphinx/auto_examples/plot_stacked.rst b/charts/sphinx/auto_examples/plot_stacked.rst
new file mode 100644
index 0000000..238000d
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_stacked.rst
@@ -0,0 +1,131 @@
+.. note::
+    :class: sphx-glr-download-link-note
+
+    Click :ref:`here <sphx_glr_download_auto_examples_plot_stacked.py>` to download the full example code
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_stacked.py:
+
+
+Stacked Bar Chart
+==================
+
+Makes an example of a stacked bar chart.
+
+
+.. code-block:: default
+
+
+    from sqlalchemy import create_engine
+    import matplotlib.pyplot as plt
+    import matplotlib as mpl
+    import pandas as pd 
+    import configparser
+    from psycopg2 import connect
+    import psycopg2.sql as pg
+    import pandas.io.sql as pandasql
+    import numpy as np 
+    import datetime
+    import math
+    import rick
+    import geopandas as gpd
+    import os
+    import shapely
+    from shapely.geometry import Point
+    os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+    import importlib
+    import matplotlib.ticker as ticker
+    import matplotlib.font_manager as font_manager
+
+
+    CONFIG = configparser.ConfigParser()
+    CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+    dbset = CONFIG['DBSETTINGS']
+    con = connect(**dbset)
+
+
+
+
+
+
+Data Collection
+----------------
+
+This Section grabs and formats the data.
+
+
+.. code-block:: default
+
+    query = ''' 
+
+    WITH sum AS (
+
+    SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25
+    LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short
+
+    WHERE pickup_datetime > '2016-09-30'
+    GROUP BY pickup_datetime, area_name
+    ), collect AS (
+    SELECT area_name, avg(count) as count, mon, yr from sum
+    group by area_name,  mon, yr)
+
+    ,tot1 AS (
+
+    SELECT area_name, avg(count) as count FROM collect
+    WHERE (yr =2016 AND mon IN (10))
+    GROUP BY area_name
+    ), tot2 AS (
+
+    SELECT area_name, avg(count) as count FROM collect
+    WHERE (yr =2018 AND mon IN (9)) 
+    GROUP BY area_name
+    )
+    SELECT SPLIT_PART(area_name, 'Community', 1) as area_name,
+    b.count as count1, a.count as count2 FROM tot1 b
+    LEFT JOIN tot2 a USING (area_name)
+    ORDER BY count1 ASC
+    '''
+
+    district_cond = pandasql.read_sql(query, con)
+
+    fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_stacked_001.png
+    :class: sphx-glr-single-img
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  3.557 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_stacked.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Python source code: plot_stacked.py <plot_stacked.py>`
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Jupyter notebook: plot_stacked.ipynb <plot_stacked.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/charts/sphinx/auto_examples/plot_tow.ipynb b/charts/sphinx/auto_examples/plot_tow.ipynb
new file mode 100644
index 0000000..f85cbb7
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_tow.ipynb
@@ -0,0 +1,72 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nTime of Week Chart\n==================\n\nMakes an example of a time of week chart.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "query = '''\n\nWITH sum AS (\n\nSELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,\nextract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25\n\n\nWHERE pickup_datetime > '2018-08-31'\nGROUP BY pickup_datetime, hr\n\n)\n, collect AS (\nSELECT  avg(count) as count, hr, dow from sum\ngroup by hr, dow)\n\nSELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, \nCASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch\nFROM collect\nLEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr\nLEFT JOIN ptc.periods_simple USING (period_uid)\nORDER BY dow, hr\n\n'''\ncount_18 = pandasql.read_sql(query,con)\n\nfig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.6.4"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/charts/sphinx/auto_examples/plot_tow.py b/charts/sphinx/auto_examples/plot_tow.py
new file mode 100644
index 0000000..3d6daf6
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_tow.py
@@ -0,0 +1,65 @@
+"""
+Time of Week Chart
+==================
+
+Makes an example of a time of week chart.
+"""
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+################################
+#Data Collection
+#----------------
+#
+#This Section grabs and formats the data.
+query = '''
+
+WITH sum AS (
+
+SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,
+extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25
+
+
+WHERE pickup_datetime > '2018-08-31'
+GROUP BY pickup_datetime, hr
+
+)
+, collect AS (
+SELECT  avg(count) as count, hr, dow from sum
+group by hr, dow)
+
+SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, 
+CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch
+FROM collect
+LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr
+LEFT JOIN ptc.periods_simple USING (period_uid)
+ORDER BY dow, hr
+
+'''
+count_18 = pandasql.read_sql(query,con)
+
+fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)
\ No newline at end of file
diff --git a/charts/sphinx/auto_examples/plot_tow.py.md5 b/charts/sphinx/auto_examples/plot_tow.py.md5
new file mode 100644
index 0000000..32dc751
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_tow.py.md5
@@ -0,0 +1 @@
+94f4f1b477459194ce0ff8a46acc07ad
\ No newline at end of file
diff --git a/charts/sphinx/auto_examples/plot_tow.rst b/charts/sphinx/auto_examples/plot_tow.rst
new file mode 100644
index 0000000..967cc39
--- /dev/null
+++ b/charts/sphinx/auto_examples/plot_tow.rst
@@ -0,0 +1,125 @@
+.. note::
+    :class: sphx-glr-download-link-note
+
+    Click :ref:`here <sphx_glr_download_auto_examples_plot_tow.py>` to download the full example code
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_tow.py:
+
+
+Time of Week Chart
+==================
+
+Makes an example of a time of week chart.
+
+
+.. code-block:: default
+
+
+    from sqlalchemy import create_engine
+    import matplotlib.pyplot as plt
+    import matplotlib as mpl
+    import pandas as pd 
+    import configparser
+    from psycopg2 import connect
+    import psycopg2.sql as pg
+    import pandas.io.sql as pandasql
+    import numpy as np 
+    import datetime
+    import math
+    import rick
+    import geopandas as gpd
+    import os
+    import shapely
+    from shapely.geometry import Point
+    os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+    import importlib
+    import matplotlib.ticker as ticker
+    import matplotlib.font_manager as font_manager
+
+
+    CONFIG = configparser.ConfigParser()
+    CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+    dbset = CONFIG['DBSETTINGS']
+    con = connect(**dbset)
+
+
+
+
+
+
+Data Collection
+----------------
+
+This Section grabs and formats the data.
+
+
+.. code-block:: default
+
+    query = '''
+
+    WITH sum AS (
+
+    SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,
+    extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25
+
+
+    WHERE pickup_datetime > '2018-08-31'
+    GROUP BY pickup_datetime, hr
+
+    )
+    , collect AS (
+    SELECT  avg(count) as count, hr, dow from sum
+    group by hr, dow)
+
+    SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, 
+    CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch
+    FROM collect
+    LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr
+    LEFT JOIN ptc.periods_simple USING (period_uid)
+    ORDER BY dow, hr
+
+    '''
+    count_18 = pandasql.read_sql(query,con)
+
+    fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_tow_001.png
+    :class: sphx-glr-single-img
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  1.408 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_tow.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Python source code: plot_tow.py <plot_tow.py>`
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Jupyter notebook: plot_tow.ipynb <plot_tow.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/charts/sphinx/auto_examples/sg_execution_times.rst b/charts/sphinx/auto_examples/sg_execution_times.rst
new file mode 100644
index 0000000..b94b955
--- /dev/null
+++ b/charts/sphinx/auto_examples/sg_execution_times.rst
@@ -0,0 +1,14 @@
+
+:orphan:
+
+.. _sphx_glr_auto_examples_sg_execution_times:
+
+Computation times
+=================
+**00:33.929** total execution time for **auto_examples** files:
+
+- **00:27.838**: :ref:`sphx_glr_auto_examples_plot_bar.py` (``plot_bar.py``)
+- **00:03.557**: :ref:`sphx_glr_auto_examples_plot_stacked.py` (``plot_stacked.py``)
+- **00:01.408**: :ref:`sphx_glr_auto_examples_plot_tow.py` (``plot_tow.py``)
+- **00:01.126**: :ref:`sphx_glr_auto_examples_plot_line.py` (``plot_line.py``)
+- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_chloropleth.py` (``plot_chloropleth.py``)
diff --git a/charts/sphinx/code.rst b/charts/sphinx/code.rst
new file mode 100644
index 0000000..01cb60b
--- /dev/null
+++ b/charts/sphinx/code.rst
@@ -0,0 +1,5 @@
+Auto Generated Documentation
+============================
+
+.. automodule:: rick
+	:members:
\ No newline at end of file
diff --git a/charts/sphinx/conf.py b/charts/sphinx/conf.py
new file mode 100644
index 0000000..9a284ea
--- /dev/null
+++ b/charts/sphinx/conf.py
@@ -0,0 +1,176 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+#
+# VFH Charts documentation build configuration file, created by
+# sphinx-quickstart on Tue Jul 16 16:26:10 2019.
+#
+# This file is execfile()d with the current directory set to its
+# containing dir.
+#
+# Note that not all possible configuration values are present in this
+# autogenerated file.
+#
+# All configuration values have a default; values that are commented out
+# serve to show the default.
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+
+import sys, os
+ 
+sys.path.insert(0, os.path.abspath('.'))
+
+
+# -- General configuration ------------------------------------------------
+
+# If your documentation needs a minimal Sphinx version, state it here.
+#
+# needs_sphinx = '1.0'
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
+# ones.
+extensions = ['sphinx.ext.autodoc',
+    'sphinx.ext.doctest',
+    'sphinx.ext.viewcode', 'sphinx.ext.coverage', 'sphinx.ext.napoleon', 'sphinx_gallery.gen_gallery']
+
+sphinx_gallery_conf = {
+     'examples_dirs': 'example',   # path to your example scripts
+     'gallery_dirs': 'auto_examples',  # path where to save gallery generated examples
+}
+
+# Add any paths that contain templates here, relative to this directory.
+templates_path = ['_templates']
+
+# The suffix(es) of source filenames.
+# You can specify multiple suffix as a list of string:
+#
+# source_suffix = ['.rst', '.md']
+source_suffix = '.rst'
+
+# The master toctree document.
+master_doc = 'index'
+
+# General information about the project.
+project = 'VFH Charts'
+copyright = '2019, Rick Liu'
+author = 'Rick Liu'
+
+# The version info for the project you're documenting, acts as replacement for
+# |version| and |release|, also used in various other places throughout the
+# built documents.
+#
+# The short X.Y version.
+version = '0.7.1'
+# The full version, including alpha/beta/rc tags.
+release = '2019-07-16'
+
+# The language for content autogenerated by Sphinx. Refer to documentation
+# for a list of supported languages.
+#
+# This is also used if you do content translation via gettext catalogs.
+# Usually you set "language" from the command line for these cases.
+language = None
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+# This patterns also effect to html_static_path and html_extra_path
+exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
+
+# The name of the Pygments (syntax highlighting) style to use.
+pygments_style = 'sphinx'
+
+# If true, `todo` and `todoList` produce output, else they produce nothing.
+todo_include_todos = False
+
+
+# -- Options for HTML output ----------------------------------------------
+
+# The theme to use for HTML and HTML Help pages.  See the documentation for
+# a list of builtin themes.
+#
+html_theme = 'alabaster'
+
+# Theme options are theme-specific and customize the look and feel of a theme
+# further.  For a list of options available for each theme, see the
+# documentation.
+#
+# html_theme_options = {}
+
+# Add any paths that contain custom static files (such as style sheets) here,
+# relative to this directory. They are copied after the builtin static files,
+# so a file named "default.css" will overwrite the builtin "default.css".
+html_static_path = ['_static']
+
+# Custom sidebar templates, must be a dictionary that maps document names
+# to template names.
+#
+# This is required for the alabaster theme
+# refs: http://alabaster.readthedocs.io/en/latest/installation.html#sidebars
+html_sidebars = {
+    '**': [
+        'relations.html',  # needs 'show_related': True theme option to display
+        'searchbox.html',
+    ]
+}
+
+
+# -- Options for HTMLHelp output ------------------------------------------
+
+# Output file base name for HTML help builder.
+htmlhelp_basename = 'VFHChartsdoc'
+
+
+# -- Options for LaTeX output ---------------------------------------------
+
+latex_elements = {
+    # The paper size ('letterpaper' or 'a4paper').
+    #
+    # 'papersize': 'letterpaper',
+
+    # The font size ('10pt', '11pt' or '12pt').
+    #
+    # 'pointsize': '10pt',
+
+    # Additional stuff for the LaTeX preamble.
+    #
+    # 'preamble': '',
+
+    # Latex figure (float) alignment
+    #
+    # 'figure_align': 'htbp',
+}
+
+# Grouping the document tree into LaTeX files. List of tuples
+# (source start file, target name, title,
+#  author, documentclass [howto, manual, or own class]).
+latex_documents = [
+    (master_doc, 'VFHCharts.tex', 'VFH Charts Documentation',
+     'Rick Liu', 'manual'),
+]
+
+
+# -- Options for manual page output ---------------------------------------
+
+# One entry per manual page. List of tuples
+# (source start file, name, description, authors, manual section).
+man_pages = [
+    (master_doc, 'vfhcharts', 'VFH Charts Documentation',
+     [author], 1)
+]
+
+
+# -- Options for Texinfo output -------------------------------------------
+
+# Grouping the document tree into Texinfo files. List of tuples
+# (source start file, target name, title, author,
+#  dir menu entry, description, category)
+texinfo_documents = [
+    (master_doc, 'VFHCharts', 'VFH Charts Documentation',
+     author, 'VFHCharts', 'One line description of project.',
+     'Miscellaneous'),
+]
+
+
+
diff --git a/charts/sphinx/example/README.txt b/charts/sphinx/example/README.txt
new file mode 100644
index 0000000..ca994dd
--- /dev/null
+++ b/charts/sphinx/example/README.txt
@@ -0,0 +1,4 @@
+Gallery of Charts
+==================
+
+Below is a gallery of example charts for each charting function in rick.charts. 
\ No newline at end of file
diff --git a/charts/sphinx/example/plot_bar.py b/charts/sphinx/example/plot_bar.py
new file mode 100644
index 0000000..fa7c407
--- /dev/null
+++ b/charts/sphinx/example/plot_bar.py
@@ -0,0 +1,41 @@
+"""
+Bar Chart
+==================
+
+Makes an example of a bar chart.
+"""
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+################################
+#Data Collection
+#----------------
+#
+#This creates a test dataframe to use
+pass_data = {'cat': ['PTC','Taxi',  'Trip Making Population'],
+        'TTC Pass': [22,16,16],
+        }
+
+transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass'])
+transit_pass  = transit_pass .reindex(index=transit_pass .index[::-1])
+
+fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')
\ No newline at end of file
diff --git a/charts/sphinx/example/plot_chloropleth.py b/charts/sphinx/example/plot_chloropleth.py
new file mode 100644
index 0000000..600cdce
--- /dev/null
+++ b/charts/sphinx/example/plot_chloropleth.py
@@ -0,0 +1,86 @@
+"""
+Chloropleth Map
+==================
+
+Makes an example of a chloropleth map.
+"""
+
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+
+################################
+#Data Collection
+#----------------
+#
+#This Section grabs and formats the data.
+query = '''
+
+WITH sum AS (
+SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, 
+sum(count) as count  FROM ptc.trip_data_agg_neighbourhood
+GROUP BY   pickup_datetime, pickup_neighbourhood
+
+), ward1 AS  (
+
+SELECT  avg(count) as count, pickup_neighbourhood from sum
+WHERE (yr=2018 AND mon IN (9))
+GROUP BY pickup_neighbourhood
+ORDER BY count
+), ward2 AS  (
+
+SELECT avg(count) as count, pickup_neighbourhood from sum
+WHERE (yr=2016 AND mon IN (10))
+GROUP BY pickup_neighbourhood
+ORDER BY count
+)
+
+SELECT pickup_neighbourhood,  geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a 
+LEFT JOIN ward1 b USING ( pickup_neighbourhood)
+LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood
+
+'''
+################################
+# Rotates data 17 degrees to orient Toronto perpendicularly
+data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
+data = data.to_crs({'init' :'epsg:3857'})
+
+for index, row in data.iterrows():
+    rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))
+    data.at[index, 'geom'] = rotated
+
+################################
+#The function only needs these columns, in this order
+data=data[['geom', 'growth']]
+
+
+################################
+# Calls the Function
+#
+#
+#
+fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', 
+                                       island = False,  unit = '%', nbins = 3)
+
diff --git a/charts/sphinx/example/plot_line.py b/charts/sphinx/example/plot_line.py
new file mode 100644
index 0000000..5566d4c
--- /dev/null
+++ b/charts/sphinx/example/plot_line.py
@@ -0,0 +1,106 @@
+"""
+Line Chart
+==================
+
+Makes an example of a line chart, with an additional baseline plot and custom formatted x axis.
+"""
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+################################
+#Data Collection
+#----------------
+#
+#This Section grabs and formats the data.
+
+query='''
+WITH daily_ave AS (
+
+SELECT * FROM ptc.daily_trips
+), total AS  (
+SELECT  extract(month from pickup_datetime) as mon,
+extract(year from pickup_datetime) as yr,
+
+CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+avg(count)::integer END as count FROM daily_ave
+GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+)
+
+
+SELECT 
+CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+END AS period, 
+count FROM total
+'''
+total=pandasql.read_sql(query, con)
+################################
+#Gets the baseline data (to be graphed in grey)
+
+
+
+query='''
+WITH daily_ave AS (
+
+SELECT * FROM ptc.daily_trips
+), total AS  (
+SELECT  extract(month from pickup_datetime) as mon,
+extract(year from pickup_datetime) as yr,
+
+CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+avg(count)::integer END as count FROM daily_ave
+GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+)
+
+
+SELECT 
+CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+END AS period, 
+count/2 as count FROM total
+'''
+total2=pandasql.read_sql(query, con)
+
+fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])
+
+################################
+#Adds annotations
+fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',
+         verticalalignment='top', ha = 'center', bbox=props, color = '#660159')
+################################
+#Adds custom x axis
+month_lst2 = ['Sept\n2016',  'Jan\n2017',  'May',  'Sept',
+               'Jan\n2018', 'May',  'Sept', 
+              'Jan\n2019','May',]
+plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')
+
diff --git a/charts/sphinx/example/plot_stacked.py b/charts/sphinx/example/plot_stacked.py
new file mode 100644
index 0000000..eba03ff
--- /dev/null
+++ b/charts/sphinx/example/plot_stacked.py
@@ -0,0 +1,71 @@
+"""
+Stacked Bar Chart
+==================
+
+Makes an example of a stacked bar chart.
+"""
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+################################
+#Data Collection
+#----------------
+#
+#This Section grabs and formats the data.
+query = ''' 
+
+WITH sum AS (
+
+SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25
+LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short
+
+WHERE pickup_datetime > '2016-09-30'
+GROUP BY pickup_datetime, area_name
+), collect AS (
+SELECT area_name, avg(count) as count, mon, yr from sum
+group by area_name,  mon, yr)
+
+,tot1 AS (
+
+SELECT area_name, avg(count) as count FROM collect
+WHERE (yr =2016 AND mon IN (10))
+GROUP BY area_name
+), tot2 AS (
+
+SELECT area_name, avg(count) as count FROM collect
+WHERE (yr =2018 AND mon IN (9)) 
+GROUP BY area_name
+)
+SELECT SPLIT_PART(area_name, 'Community', 1) as area_name,
+b.count as count1, a.count as count2 FROM tot1 b
+LEFT JOIN tot2 a USING (area_name)
+ORDER BY count1 ASC
+'''
+
+district_cond = pandasql.read_sql(query, con)
+
+fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)
\ No newline at end of file
diff --git a/charts/sphinx/example/plot_tow.py b/charts/sphinx/example/plot_tow.py
new file mode 100644
index 0000000..3d6daf6
--- /dev/null
+++ b/charts/sphinx/example/plot_tow.py
@@ -0,0 +1,65 @@
+"""
+Time of Week Chart
+==================
+
+Makes an example of a time of week chart.
+"""
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+################################
+#Data Collection
+#----------------
+#
+#This Section grabs and formats the data.
+query = '''
+
+WITH sum AS (
+
+SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,
+extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25
+
+
+WHERE pickup_datetime > '2018-08-31'
+GROUP BY pickup_datetime, hr
+
+)
+, collect AS (
+SELECT  avg(count) as count, hr, dow from sum
+group by hr, dow)
+
+SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, 
+CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch
+FROM collect
+LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr
+LEFT JOIN ptc.periods_simple USING (period_uid)
+ORDER BY dow, hr
+
+'''
+count_18 = pandasql.read_sql(query,con)
+
+fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)
\ No newline at end of file
diff --git a/charts/sphinx/index.rst b/charts/sphinx/index.rst
new file mode 100644
index 0000000..9bde69a
--- /dev/null
+++ b/charts/sphinx/index.rst
@@ -0,0 +1,25 @@
+.. VFH Charts documentation master file, created by
+   sphinx-quickstart on Tue Jul 16 16:26:10 2019.
+   You can adapt this file completely to your liking, but it should at least
+   contain the root `toctree` directive.
+
+Repeatable Information Charts Kit README
+==========================================
+
+This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib fig and ax object so that the figure can be further modified using matplotlib functions.
+
+.. toctree::
+   :maxdepth: 2
+   :caption: Contents:
+
+   code
+   auto_examples/index
+
+
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
diff --git a/charts/sphinx/make b/charts/sphinx/make
new file mode 100644
index 0000000..efcea11
--- /dev/null
+++ b/charts/sphinx/make
@@ -0,0 +1,38 @@
+Running Sphinx v2.1.2
+loading pickled environment... done
+generating gallery...
+generating gallery for auto_examples... [ 50%] plot_chloropleth.py             
generating gallery for auto_examples... [100%] plot_line.py                    

+computation time summary:
+    - example\plot_line.py: 0 sec
+    - example\plot_chloropleth.py: 0 sec
+building [mo]: targets for 0 po files that are out of date
+building [html]: targets for 0 source files that are out of date
+updating environment: [] 0 added, 2 changed, 0 removed
+reading sources... [ 50%] auto_examples/index                                  
reading sources... [100%] auto_examples/plot_chloropleth                       

+looking for now-outdated files... none found
+pickling environment... done
+checking consistency... done
+preparing documents... done
+writing output... [ 33%] auto_examples/index                                   
writing output... [ 66%] auto_examples/plot_chloropleth                        
writing output... [100%] index                                                 

+generating indices... genindex py-modindex
+highlighting module code... [100%] rick                                        

+writing additional pages... search
+copying images... [ 33%] auto_examples/images/thumb/sphx_glr_plot_chloropleth_thumb.png
copying images... [ 66%] auto_examples/images/thumb/sphx_glr_plot_line_thumb.png
copying images... [100%] auto_examples/images/sphx_glr_plot_chloropleth_001.png

+copying downloadable files... [ 16%] auto_examples/plot_line.py                
copying downloadable files... [ 33%] auto_examples/plot_line.ipynb             
copying downloadable files... [ 50%] auto_examples/auto_examples_python.zip    
copying downloadable files... [ 66%] auto_examples/auto_examples_jupyter.zip   
copying downloadable files... [ 83%] auto_examples/plot_chloropleth.py         
copying downloadable files... [100%] auto_examples/plot_chloropleth.ipynb      

+copying static files... done
+copying extra files... done
+dumping search index in English (code: en) ... done
+dumping object inventory... done
+build succeeded.
+
+The HTML pages are in _build\html.
+
+Sphinx-gallery successfully executed 0 out of 0 files subselected by:
+
+    gallery_conf["filename_pattern"] = '\\\\plot'
+    gallery_conf["ignore_pattern"]   = '__init__\\.py'
+
+after excluding 2 files that had previously been run (based on MD5).
+
+embedding documentation hyperlinks...
+embedding documentation hyperlinks for auto_examples... [ 25%] index.html      
embedding documentation hyperlinks for auto_examples... [ 50%] plot_chloropleth.html
embedding documentation hyperlinks for auto_examples... [ 75%] plot_line.html  
embedding documentation hyperlinks for auto_examples... [100%] sg_execution_times.html

diff --git a/charts/sphinx/make.bat b/charts/sphinx/make.bat
new file mode 100644
index 0000000..3f81752
--- /dev/null
+++ b/charts/sphinx/make.bat
@@ -0,0 +1,36 @@
+@ECHO OFF
+
+pushd %~dp0
+
+REM Command file for Sphinx documentation
+
+if "%SPHINXBUILD%" == "" (
+	set SPHINXBUILD=sphinx-build
+)
+set SOURCEDIR=.
+set BUILDDIR=_build
+set SPHINXPROJ=VFHCharts
+
+if "%1" == "" goto help
+
+%SPHINXBUILD% >NUL 2>NUL
+if errorlevel 9009 (
+	echo.
+	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
+	echo.installed, then set the SPHINXBUILD environment variable to point
+	echo.to the full path of the 'sphinx-build' executable. Alternatively you
+	echo.may add the Sphinx directory to PATH.
+	echo.
+	echo.If you don't have Sphinx installed, grab it from
+	echo.http://sphinx-doc.org/
+	exit /b 1
+)
+
+%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%
+goto end
+
+:help
+%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%
+
+:end
+popd
diff --git a/docs/.buildinfo b/docs/.buildinfo
new file mode 100644
index 0000000..2c35fee
--- /dev/null
+++ b/docs/.buildinfo
@@ -0,0 +1,4 @@
+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: 1c275954e7230feb7ad6ce4c29ebd80d
+tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/docs/_downloads/21be591842209cda4c2f74d548884a33/plot_line.py b/docs/_downloads/21be591842209cda4c2f74d548884a33/plot_line.py
new file mode 100644
index 0000000..5566d4c
--- /dev/null
+++ b/docs/_downloads/21be591842209cda4c2f74d548884a33/plot_line.py
@@ -0,0 +1,106 @@
+"""
+Line Chart
+==================
+
+Makes an example of a line chart, with an additional baseline plot and custom formatted x axis.
+"""
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+################################
+#Data Collection
+#----------------
+#
+#This Section grabs and formats the data.
+
+query='''
+WITH daily_ave AS (
+
+SELECT * FROM ptc.daily_trips
+), total AS  (
+SELECT  extract(month from pickup_datetime) as mon,
+extract(year from pickup_datetime) as yr,
+
+CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+avg(count)::integer END as count FROM daily_ave
+GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+)
+
+
+SELECT 
+CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+END AS period, 
+count FROM total
+'''
+total=pandasql.read_sql(query, con)
+################################
+#Gets the baseline data (to be graphed in grey)
+
+
+
+query='''
+WITH daily_ave AS (
+
+SELECT * FROM ptc.daily_trips
+), total AS  (
+SELECT  extract(month from pickup_datetime) as mon,
+extract(year from pickup_datetime) as yr,
+
+CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+avg(count)::integer END as count FROM daily_ave
+GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+)
+
+
+SELECT 
+CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+END AS period, 
+count/2 as count FROM total
+'''
+total2=pandasql.read_sql(query, con)
+
+fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])
+
+################################
+#Adds annotations
+fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',
+         verticalalignment='top', ha = 'center', bbox=props, color = '#660159')
+################################
+#Adds custom x axis
+month_lst2 = ['Sept\n2016',  'Jan\n2017',  'May',  'Sept',
+               'Jan\n2018', 'May',  'Sept', 
+              'Jan\n2019','May',]
+plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')
+
diff --git a/docs/_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb b/docs/_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb
new file mode 100644
index 0000000..1538a15
--- /dev/null
+++ b/docs/_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb
@@ -0,0 +1,72 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nStacked Bar Chart\n==================\n\nMakes an example of a stacked bar chart.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "query = ''' \n\nWITH sum AS (\n\nSELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25\nLEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short\n\nWHERE pickup_datetime > '2016-09-30'\nGROUP BY pickup_datetime, area_name\n), collect AS (\nSELECT area_name, avg(count) as count, mon, yr from sum\ngroup by area_name,  mon, yr)\n\n,tot1 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2016 AND mon IN (10))\nGROUP BY area_name\n), tot2 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2018 AND mon IN (9)) \nGROUP BY area_name\n)\nSELECT SPLIT_PART(area_name, 'Community', 1) as area_name,\nb.count as count1, a.count as count2 FROM tot1 b\nLEFT JOIN tot2 a USING (area_name)\nORDER BY count1 ASC\n'''\n\ndistrict_cond = pandasql.read_sql(query, con)\n\nfig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.6.4"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/docs/_downloads/31f32a41483cb2a88aa2f260f665b07f/auto_examples_python.zip b/docs/_downloads/31f32a41483cb2a88aa2f260f665b07f/auto_examples_python.zip
new file mode 100644
index 0000000..f96e527
Binary files /dev/null and b/docs/_downloads/31f32a41483cb2a88aa2f260f665b07f/auto_examples_python.zip differ
diff --git a/docs/_downloads/380b7dbff02945ad10807fc2f42a3fae/plot_tow.ipynb b/docs/_downloads/380b7dbff02945ad10807fc2f42a3fae/plot_tow.ipynb
new file mode 100644
index 0000000..f85cbb7
--- /dev/null
+++ b/docs/_downloads/380b7dbff02945ad10807fc2f42a3fae/plot_tow.ipynb
@@ -0,0 +1,72 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nTime of Week Chart\n==================\n\nMakes an example of a time of week chart.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "query = '''\n\nWITH sum AS (\n\nSELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,\nextract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25\n\n\nWHERE pickup_datetime > '2018-08-31'\nGROUP BY pickup_datetime, hr\n\n)\n, collect AS (\nSELECT  avg(count) as count, hr, dow from sum\ngroup by hr, dow)\n\nSELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, \nCASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch\nFROM collect\nLEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr\nLEFT JOIN ptc.periods_simple USING (period_uid)\nORDER BY dow, hr\n\n'''\ncount_18 = pandasql.read_sql(query,con)\n\nfig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.6.4"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/docs/_downloads/445cbc804a8295cbf474c4d0c1b0e4b7/auto_examples_jupyter.zip b/docs/_downloads/445cbc804a8295cbf474c4d0c1b0e4b7/auto_examples_jupyter.zip
new file mode 100644
index 0000000..f916ef6
Binary files /dev/null and b/docs/_downloads/445cbc804a8295cbf474c4d0c1b0e4b7/auto_examples_jupyter.zip differ
diff --git a/docs/_downloads/4ac604494bc2591bf2516ad6b2550a56/plot_chloropleth.py b/docs/_downloads/4ac604494bc2591bf2516ad6b2550a56/plot_chloropleth.py
new file mode 100644
index 0000000..600cdce
--- /dev/null
+++ b/docs/_downloads/4ac604494bc2591bf2516ad6b2550a56/plot_chloropleth.py
@@ -0,0 +1,86 @@
+"""
+Chloropleth Map
+==================
+
+Makes an example of a chloropleth map.
+"""
+
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+
+################################
+#Data Collection
+#----------------
+#
+#This Section grabs and formats the data.
+query = '''
+
+WITH sum AS (
+SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, 
+sum(count) as count  FROM ptc.trip_data_agg_neighbourhood
+GROUP BY   pickup_datetime, pickup_neighbourhood
+
+), ward1 AS  (
+
+SELECT  avg(count) as count, pickup_neighbourhood from sum
+WHERE (yr=2018 AND mon IN (9))
+GROUP BY pickup_neighbourhood
+ORDER BY count
+), ward2 AS  (
+
+SELECT avg(count) as count, pickup_neighbourhood from sum
+WHERE (yr=2016 AND mon IN (10))
+GROUP BY pickup_neighbourhood
+ORDER BY count
+)
+
+SELECT pickup_neighbourhood,  geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a 
+LEFT JOIN ward1 b USING ( pickup_neighbourhood)
+LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood
+
+'''
+################################
+# Rotates data 17 degrees to orient Toronto perpendicularly
+data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
+data = data.to_crs({'init' :'epsg:3857'})
+
+for index, row in data.iterrows():
+    rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))
+    data.at[index, 'geom'] = rotated
+
+################################
+#The function only needs these columns, in this order
+data=data[['geom', 'growth']]
+
+
+################################
+# Calls the Function
+#
+#
+#
+fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', 
+                                       island = False,  unit = '%', nbins = 3)
+
diff --git a/docs/_downloads/843c61231a396b66e17c11e1b2c89e18/plot_bar.ipynb b/docs/_downloads/843c61231a396b66e17c11e1b2c89e18/plot_bar.ipynb
new file mode 100644
index 0000000..809b2df
--- /dev/null
+++ b/docs/_downloads/843c61231a396b66e17c11e1b2c89e18/plot_bar.ipynb
@@ -0,0 +1,72 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nBar Chart\n==================\n\nMakes an example of a bar chart.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Data Collection\n----------------\n\nThis creates a test dataframe to use\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "pass_data = {'cat': ['PTC','Taxi',  'Trip Making Population'],\n        'TTC Pass': [22,16,16],\n        }\n\ntransit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass'])\ntransit_pass  = transit_pass .reindex(index=transit_pass .index[::-1])\n\nfig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.6.4"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/docs/_downloads/995c7f269ee840d69de9ff09442efe38/plot_bar.py b/docs/_downloads/995c7f269ee840d69de9ff09442efe38/plot_bar.py
new file mode 100644
index 0000000..fa7c407
--- /dev/null
+++ b/docs/_downloads/995c7f269ee840d69de9ff09442efe38/plot_bar.py
@@ -0,0 +1,41 @@
+"""
+Bar Chart
+==================
+
+Makes an example of a bar chart.
+"""
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+################################
+#Data Collection
+#----------------
+#
+#This creates a test dataframe to use
+pass_data = {'cat': ['PTC','Taxi',  'Trip Making Population'],
+        'TTC Pass': [22,16,16],
+        }
+
+transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass'])
+transit_pass  = transit_pass .reindex(index=transit_pass .index[::-1])
+
+fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')
\ No newline at end of file
diff --git a/docs/_downloads/be9952544ac3b41f0ea2f1580b7d53bf/plot_chloropleth.ipynb b/docs/_downloads/be9952544ac3b41f0ea2f1580b7d53bf/plot_chloropleth.ipynb
new file mode 100644
index 0000000..6ca3186
--- /dev/null
+++ b/docs/_downloads/be9952544ac3b41f0ea2f1580b7d53bf/plot_chloropleth.ipynb
@@ -0,0 +1,126 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nChloropleth Map\n==================\n\nMakes an example of a chloropleth map.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "query = '''\n\nWITH sum AS (\nSELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, \nsum(count) as count  FROM ptc.trip_data_agg_neighbourhood\nGROUP BY   pickup_datetime, pickup_neighbourhood\n\n), ward1 AS  (\n\nSELECT  avg(count) as count, pickup_neighbourhood from sum\nWHERE (yr=2018 AND mon IN (9))\nGROUP BY pickup_neighbourhood\nORDER BY count\n), ward2 AS  (\n\nSELECT avg(count) as count, pickup_neighbourhood from sum\nWHERE (yr=2016 AND mon IN (10))\nGROUP BY pickup_neighbourhood\nORDER BY count\n)\n\nSELECT pickup_neighbourhood,  geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a \nLEFT JOIN ward1 b USING ( pickup_neighbourhood)\nLEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood\n\n'''"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Rotates data 17 degrees to orient Toronto perpendicularly\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')\ndata = data.to_crs({'init' :'epsg:3857'})\n\nfor index, row in data.iterrows():\n    rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))\n    data.at[index, 'geom'] = rotated"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "The function only needs these columns, in this order\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "data=data[['geom', 'growth']]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Calls the Function\n\n\n\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', \n                                       island = False,  unit = '%', nbins = 3)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.6.4"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/docs/_downloads/c16f50786857748d9212f35a207c7f3e/plot_tow.py b/docs/_downloads/c16f50786857748d9212f35a207c7f3e/plot_tow.py
new file mode 100644
index 0000000..3d6daf6
--- /dev/null
+++ b/docs/_downloads/c16f50786857748d9212f35a207c7f3e/plot_tow.py
@@ -0,0 +1,65 @@
+"""
+Time of Week Chart
+==================
+
+Makes an example of a time of week chart.
+"""
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+################################
+#Data Collection
+#----------------
+#
+#This Section grabs and formats the data.
+query = '''
+
+WITH sum AS (
+
+SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,
+extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25
+
+
+WHERE pickup_datetime > '2018-08-31'
+GROUP BY pickup_datetime, hr
+
+)
+, collect AS (
+SELECT  avg(count) as count, hr, dow from sum
+group by hr, dow)
+
+SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, 
+CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch
+FROM collect
+LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr
+LEFT JOIN ptc.periods_simple USING (period_uid)
+ORDER BY dow, hr
+
+'''
+count_18 = pandasql.read_sql(query,con)
+
+fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)
\ No newline at end of file
diff --git a/docs/_downloads/cc961dc436f413969336b8bd7f359ab4/plot_line.ipynb b/docs/_downloads/cc961dc436f413969336b8bd7f359ab4/plot_line.ipynb
new file mode 100644
index 0000000..9919a2c
--- /dev/null
+++ b/docs/_downloads/cc961dc436f413969336b8bd7f359ab4/plot_line.ipynb
@@ -0,0 +1,126 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\nLine Chart\n==================\n\nMakes an example of a line chart, with an additional baseline plot and custom formatted x axis.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "query='''\nWITH daily_ave AS (\n\nSELECT * FROM ptc.daily_trips\n), total AS  (\nSELECT  extract(month from pickup_datetime) as mon,\nextract(year from pickup_datetime) as yr,\n\nCASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\nWHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\navg(count)::integer END as count FROM daily_ave\nGROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\nORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n)\n\n\nSELECT \nCASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nWHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\nEND AS period, \ncount FROM total\n'''\ntotal=pandasql.read_sql(query, con)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Gets the baseline data (to be graphed in grey)\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "query='''\nWITH daily_ave AS (\n\nSELECT * FROM ptc.daily_trips\n), total AS  (\nSELECT  extract(month from pickup_datetime) as mon,\nextract(year from pickup_datetime) as yr,\n\nCASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\nWHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\navg(count)::integer END as count FROM daily_ave\nGROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\nORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n)\n\n\nSELECT \nCASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nWHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\nEND AS period, \ncount/2 as count FROM total\n'''\ntotal2=pandasql.read_sql(query, con)\n\nfig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Adds annotations\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n         verticalalignment='top', ha = 'center', bbox=props, color = '#660159')"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Adds custom x axis\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "month_lst2 = ['Sept\\n2016',  'Jan\\n2017',  'May',  'Sept',\n               'Jan\\n2018', 'May',  'Sept', \n              'Jan\\n2019','May',]\nplt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.6.4"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/docs/_downloads/e0de26bd19cb293b54b1f9747d9c4ad5/plot_stacked.py b/docs/_downloads/e0de26bd19cb293b54b1f9747d9c4ad5/plot_stacked.py
new file mode 100644
index 0000000..eba03ff
--- /dev/null
+++ b/docs/_downloads/e0de26bd19cb293b54b1f9747d9c4ad5/plot_stacked.py
@@ -0,0 +1,71 @@
+"""
+Stacked Bar Chart
+==================
+
+Makes an example of a stacked bar chart.
+"""
+
+from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd 
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np 
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+################################
+#Data Collection
+#----------------
+#
+#This Section grabs and formats the data.
+query = ''' 
+
+WITH sum AS (
+
+SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25
+LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short
+
+WHERE pickup_datetime > '2016-09-30'
+GROUP BY pickup_datetime, area_name
+), collect AS (
+SELECT area_name, avg(count) as count, mon, yr from sum
+group by area_name,  mon, yr)
+
+,tot1 AS (
+
+SELECT area_name, avg(count) as count FROM collect
+WHERE (yr =2016 AND mon IN (10))
+GROUP BY area_name
+), tot2 AS (
+
+SELECT area_name, avg(count) as count FROM collect
+WHERE (yr =2018 AND mon IN (9)) 
+GROUP BY area_name
+)
+SELECT SPLIT_PART(area_name, 'Community', 1) as area_name,
+b.count as count1, a.count as count2 FROM tot1 b
+LEFT JOIN tot2 a USING (area_name)
+ORDER BY count1 ASC
+'''
+
+district_cond = pandasql.read_sql(query, con)
+
+fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)
\ No newline at end of file
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diff --git a/docs/_modules/index.html b/docs/_modules/index.html
new file mode 100644
index 0000000..98e321e
--- /dev/null
+++ b/docs/_modules/index.html
@@ -0,0 +1,74 @@
+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>Overview: module code &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="../_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="../_static/gallery.css" />
+    <script type="text/javascript" id="documentation_options" data-url_root="../" src="../_static/documentation_options.js"></script>
+    <script type="text/javascript" src="../_static/jquery.js"></script>
+    <script type="text/javascript" src="../_static/underscore.js"></script>
+    <script type="text/javascript" src="../_static/doctools.js"></script>
+    <script type="text/javascript" src="../_static/language_data.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+   
+  <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+  
+  
+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+  <h1>All modules for which code is available</h1>
+<ul><li><a href="rick.html">rick</a></li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="../index.html">Documentation overview</a><ul>
+  </ul></li>
+</ul>
+</div>
+<div id="searchbox" style="display: none" role="search">
+  <h3 id="searchlabel">Quick search</h3>
+    <div class="searchformwrapper">
+    <form class="search" action="../search.html" method="get">
+      <input type="text" name="q" aria-labelledby="searchlabel" />
+      <input type="submit" value="Go" />
+    </form>
+    </div>
+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
+        </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="footer">
+      &copy;2019, Rick Liu.
+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/_modules/rick.html b/docs/_modules/rick.html
new file mode 100644
index 0000000..4e872d1
--- /dev/null
+++ b/docs/_modules/rick.html
@@ -0,0 +1,666 @@
+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>rick &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="../_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="../_static/gallery.css" />
+    <script type="text/javascript" id="documentation_options" data-url_root="../" src="../_static/documentation_options.js"></script>
+    <script type="text/javascript" src="../_static/jquery.js"></script>
+    <script type="text/javascript" src="../_static/underscore.js"></script>
+    <script type="text/javascript" src="../_static/doctools.js"></script>
+    <script type="text/javascript" src="../_static/language_data.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+   
+  <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+  
+  
+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+  <h1>Source code for rick</h1><div class="highlight"><pre>
+<span></span><span class="c1"># -*- coding: utf-8 -*-</span>
+<span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">Version 0.8.0 </span>
+
+
+<span class="sd">&quot;&quot;&quot;</span>
+<span class="kn">from</span> <span class="nn">psycopg2</span> <span class="k">import</span> <span class="n">connect</span>
+<span class="kn">import</span> <span class="nn">psycopg2.sql</span> <span class="k">as</span> <span class="nn">pg</span>
+<span class="kn">import</span> <span class="nn">pandas.io.sql</span> <span class="k">as</span> <span class="nn">pandasql</span>
+<span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">matplotlib.patches</span> <span class="k">as</span> <span class="nn">patches</span>
+<span class="kn">import</span> <span class="nn">matplotlib.ticker</span> <span class="k">as</span> <span class="nn">ticker</span>
+<span class="kn">import</span> <span class="nn">geopandas</span> <span class="k">as</span> <span class="nn">gpd</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">shapely</span>
+<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
+<span class="kn">from</span> <span class="nn">shapely.geometry</span> <span class="k">import</span> <span class="n">Point</span>
+<span class="kn">import</span> <span class="nn">matplotlib.font_manager</span> <span class="k">as</span> <span class="nn">font_manager</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="c1">#shapely workaround for windows</span>
+<span class="c1">#os.environ[&quot;PROJ_LIB&quot;]=r&quot;C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share&quot;</span>
+
+<div class="viewcode-block" id="font"><a class="viewcode-back" href="../code.html#rick.font">[docs]</a><span class="k">class</span> <span class="nc">font</span><span class="p">:</span>
+    <span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Class defining the global font variables for all functions.</span>
+<span class="sd">    </span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    
+    <span class="n">leg_font</span> <span class="o">=</span> <span class="n">font_manager</span><span class="o">.</span><span class="n">FontProperties</span><span class="p">(</span><span class="n">family</span><span class="o">=</span><span class="s1">&#39;Libre Franklin&#39;</span><span class="p">,</span><span class="n">size</span><span class="o">=</span><span class="mi">9</span><span class="p">)</span>
+    <span class="n">normal</span> <span class="o">=</span> <span class="s1">&#39;Libre Franklin&#39;</span>
+    <span class="n">semibold</span> <span class="o">=</span> <span class="s1">&#39;Libre Franklin SemiBold&#39;</span></div>
+    
+    
+<div class="viewcode-block" id="colour"><a class="viewcode-back" href="../code.html#rick.colour">[docs]</a><span class="k">class</span> <span class="nc">colour</span><span class="p">:</span>
+    <span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Class defining the global colour variables for all functions.</span>
+<span class="sd">    </span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">purple</span> <span class="o">=</span> <span class="s1">&#39;#660159&#39;</span>
+    <span class="n">grey</span> <span class="o">=</span> <span class="s1">&#39;#7f7e7e&#39;</span>
+    <span class="n">light_grey</span> <span class="o">=</span> <span class="s1">&#39;#777777&#39;</span>
+    <span class="n">cmap</span> <span class="o">=</span> <span class="s1">&#39;YlOrRd&#39;</span></div>
+    
+<div class="viewcode-block" id="geo"><a class="viewcode-back" href="../code.html#rick.geo">[docs]</a><span class="k">class</span> <span class="nc">geo</span><span class="p">:</span>
+    <span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Class for additional gis layers needed for the cloropleth map.</span>
+<span class="sd">    </span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    
+<div class="viewcode-block" id="geo.ttc"><a class="viewcode-back" href="../code.html#rick.geo.ttc">[docs]</a>    <span class="k">def</span> <span class="nf">ttc</span><span class="p">(</span><span class="n">con</span><span class="p">):</span>
+        <span class="sd">&quot;&quot;&quot;Function to return the TTC subway layer.</span>
+<span class="sd">        </span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ------------</span>
+<span class="sd">        con : SQL connection object</span>
+<span class="sd">            Connection object needed to connect to the RDS</span>
+<span class="sd">        </span>
+<span class="sd">        Returns</span>
+<span class="sd">        --------</span>
+<span class="sd">        gdf</span>
+<span class="sd">            Geopandas Dataframe of the Subway Layer</span>
+<span class="sd">        </span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">query</span> <span class="o">=</span> <span class="s1">&#39;&#39;&#39;</span>
+<span class="s1">        </span>
+<span class="s1">        SELECT * FROM gis.subway_to</span>
+<span class="s1">        </span>
+<span class="s1">        &#39;&#39;&#39;</span>
+        <span class="n">ttc</span> <span class="o">=</span> <span class="n">gpd</span><span class="o">.</span><span class="n">GeoDataFrame</span><span class="o">.</span><span class="n">from_postgis</span><span class="p">(</span><span class="n">query</span><span class="p">,</span> <span class="n">con</span><span class="p">,</span> <span class="n">geom_col</span><span class="o">=</span><span class="s1">&#39;geom&#39;</span><span class="p">)</span>
+        <span class="n">ttc</span> <span class="o">=</span> <span class="n">ttc</span><span class="o">.</span><span class="n">to_crs</span><span class="p">({</span><span class="s1">&#39;init&#39;</span> <span class="p">:</span><span class="s1">&#39;epsg:3857&#39;</span><span class="p">})</span>
+        
+        <span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">ttc</span><span class="o">.</span><span class="n">iterrows</span><span class="p">():</span>
+            <span class="n">rotated</span> <span class="o">=</span> <span class="n">shapely</span><span class="o">.</span><span class="n">affinity</span><span class="o">.</span><span class="n">rotate</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;geom&#39;</span><span class="p">],</span> <span class="n">angle</span><span class="o">=-</span><span class="mi">17</span><span class="p">,</span> <span class="n">origin</span> <span class="o">=</span> <span class="n">Point</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
+            <span class="n">ttc</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">index</span><span class="p">,</span> <span class="s1">&#39;geom&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">rotated</span>  
+        
+        <span class="k">return</span> <span class="n">ttc</span></div>
+    
+<div class="viewcode-block" id="geo.island"><a class="viewcode-back" href="../code.html#rick.geo.island">[docs]</a>    <span class="k">def</span> <span class="nf">island</span><span class="p">(</span><span class="n">con</span><span class="p">):</span>
+        
+        <span class="sd">&quot;&quot;&quot;Function to return a layer of the Toronto island. Since the island is classified in the same neighbourhood as the waterfront, in some cases its not completely accurate to show the island shares the same data as the waterfront. </span>
+<span class="sd">        </span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ------------</span>
+<span class="sd">        con : SQL connection object</span>
+<span class="sd">            Connection object needed to connect to the RDS</span>
+<span class="sd">        </span>
+<span class="sd">        Returns</span>
+<span class="sd">        --------</span>
+<span class="sd">        gdf</span>
+<span class="sd">            Geopandas Dataframe of the Toronto island.</span>
+<span class="sd">        </span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        
+        <span class="n">query</span> <span class="o">=</span> <span class="s1">&#39;&#39;&#39;</span>
+
+<span class="s1">        SELECT </span>
+<span class="s1">        geom</span>
+<span class="s1">        FROM tts.zones_tts06</span>
+<span class="s1">        WHERE gta06 = 81</span>
+
+<span class="s1">        &#39;&#39;&#39;</span>
+
+        <span class="n">island</span> <span class="o">=</span>  <span class="n">gpd</span><span class="o">.</span><span class="n">GeoDataFrame</span><span class="o">.</span><span class="n">from_postgis</span><span class="p">(</span><span class="n">query</span><span class="p">,</span> <span class="n">con</span><span class="p">,</span> <span class="n">geom_col</span><span class="o">=</span><span class="s1">&#39;geom&#39;</span><span class="p">)</span>
+        <span class="n">island</span>  <span class="o">=</span> <span class="n">island</span><span class="o">.</span><span class="n">to_crs</span><span class="p">({</span><span class="s1">&#39;init&#39;</span> <span class="p">:</span><span class="s1">&#39;epsg:3857&#39;</span><span class="p">})</span>
+
+        <span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">island</span><span class="o">.</span><span class="n">iterrows</span><span class="p">():</span>
+            <span class="n">rotated</span> <span class="o">=</span> <span class="n">shapely</span><span class="o">.</span><span class="n">affinity</span><span class="o">.</span><span class="n">rotate</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;geom&#39;</span><span class="p">],</span> <span class="n">angle</span><span class="o">=-</span><span class="mi">17</span><span class="p">,</span> <span class="n">origin</span> <span class="o">=</span> <span class="n">Point</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span> 
+            <span class="n">island</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">index</span><span class="p">,</span> <span class="s1">&#39;geom&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">rotated</span>
+
+        <span class="k">return</span> <span class="n">island</span></div></div>
+    
+<div class="viewcode-block" id="charts"><a class="viewcode-back" href="../code.html#rick.charts">[docs]</a><span class="k">class</span> <span class="nc">charts</span><span class="p">:</span>
+    <span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Class defining all the charting functions.</span>
+<span class="sd">    </span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    
+    <span class="k">global</span> <span class="n">func</span>
+    <span class="k">def</span> <span class="nf">func</span><span class="p">():</span>
+        
+        <span class="sd">&quot;&quot;&quot;Function to set global settings for the charts class. </span>
+<span class="sd">        </span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        
+        <span class="n">sns</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">font_scale</span><span class="o">=</span><span class="mf">1.5</span><span class="p">)</span> 
+        <span class="n">mpl</span><span class="o">.</span><span class="n">rc</span><span class="p">(</span><span class="s1">&#39;font&#39;</span><span class="p">,</span><span class="n">family</span><span class="o">=</span><span class="s1">&#39;Libre Franklin&#39;</span><span class="p">)</span>
+    
+<div class="viewcode-block" id="charts.chloro_map"><a class="viewcode-back" href="../code.html#rick.charts.chloro_map">[docs]</a>    <span class="k">def</span> <span class="nf">chloro_map</span><span class="p">(</span><span class="n">con</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">lower</span><span class="p">,</span> <span class="n">upper</span><span class="p">,</span> <span class="n">title</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+        <span class="sd">&quot;&quot;&quot;Creates a chloropleth map</span>
+<span class="sd">        </span>
+<span class="sd">        Parameters</span>
+<span class="sd">        -----------</span>
+<span class="sd">        con : SQL connection object</span>
+<span class="sd">            Connection object needed to connect to the RDS</span>
+<span class="sd">        df : GeoPandas Dataframe</span>
+<span class="sd">            Data for the chloropleth map. The data must only contain 2 columns; the first column has to be the geom column and the second has to be the data that needs to be mapped.</span>
+<span class="sd">        lower : int</span>
+<span class="sd">            Lower bound for colourmap</span>
+<span class="sd">        upper : int</span>
+<span class="sd">            Upper bound for the colourmap</span>
+<span class="sd">        title : str</span>
+<span class="sd">            Legend label</span>
+<span class="sd">        subway : boolean, optional, default: False</span>
+<span class="sd">            True to display subway on the map</span>
+<span class="sd">        island : boolean, optional, defailt: True</span>
+<span class="sd">            False to grey out the Toronto island</span>
+<span class="sd">        cmap : str, optional, default: YlOrRd</span>
+<span class="sd">            Matplotlib colourmap to use for the map</span>
+<span class="sd">        unit : str, optional</span>
+<span class="sd">            Unit to append to the end of the legend tick</span>
+<span class="sd">        nbins : int, optional, defualt: 2</span>
+<span class="sd">            Number of ticks in the colourmap</span>
+<span class="sd">            </span>
+<span class="sd">        Returns </span>
+<span class="sd">        --------</span>
+<span class="sd">        fig</span>
+<span class="sd">            Matplotlib fig object</span>
+<span class="sd">        ax </span>
+<span class="sd">            Matplotlib ax object</span>
+<span class="sd">            </span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        
+        <span class="n">func</span><span class="p">()</span>
+        <span class="n">subway</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;subway&#39;</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span>
+        <span class="n">island</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;island&#39;</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
+        <span class="n">cmap</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;cmap&#39;</span><span class="p">,</span> <span class="n">colour</span><span class="o">.</span><span class="n">cmap</span><span class="p">)</span>
+        <span class="n">unit</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;unit&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">nbins</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;nbins&#39;</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
+        
+        <span class="n">df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;geom&#39;</span><span class="p">,</span> <span class="s1">&#39;values&#39;</span><span class="p">]</span>
+        <span class="n">light</span> <span class="o">=</span> <span class="s1">&#39;#d9d9d9&#39;</span>
+
+        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+        <span class="n">fig</span><span class="o">.</span><span class="n">set_size_inches</span><span class="p">(</span><span class="mf">6.69</span><span class="p">,</span><span class="mf">3.345</span><span class="p">)</span>
+         
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">([])</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_xticklabels</span><span class="p">([])</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>
+    
+        <span class="n">mpd</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">column</span><span class="o">=</span><span class="s1">&#39;values&#39;</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="n">vmin</span><span class="o">=</span><span class="n">lower</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="n">upper</span><span class="p">,</span>  <span class="n">cmap</span> <span class="o">=</span> <span class="n">cmap</span><span class="p">,</span> <span class="n">edgecolor</span> <span class="o">=</span> <span class="s1">&#39;w&#39;</span><span class="p">,</span> <span class="n">linewidth</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">)</span>
+        
+        <span class="k">if</span> <span class="n">island</span> <span class="o">==</span> <span class="kc">False</span><span class="p">:</span>
+            <span class="n">island_grey</span> <span class="o">=</span> <span class="n">geo</span><span class="o">.</span><span class="n">island</span><span class="p">(</span><span class="n">con</span><span class="p">)</span>
+            <span class="n">island_grey</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="n">edgecolor</span> <span class="o">=</span> <span class="s1">&#39;w&#39;</span><span class="p">,</span> <span class="n">linewidth</span> <span class="o">=</span> <span class="mi">4</span><span class="p">,</span>  <span class="n">color</span> <span class="o">=</span> <span class="n">light</span><span class="p">)</span>
+            <span class="n">island_grey</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="n">edgecolor</span> <span class="o">=</span> <span class="s1">&#39;w&#39;</span><span class="p">,</span> <span class="n">linewidth</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>  <span class="n">color</span> <span class="o">=</span> <span class="n">light</span><span class="p">)</span>
+         
+        <span class="k">if</span> <span class="n">subway</span> <span class="o">==</span> <span class="kc">True</span><span class="p">:</span>
+            <span class="n">ttc_df</span> <span class="o">=</span> <span class="n">geo</span><span class="o">.</span><span class="n">ttc</span><span class="p">(</span><span class="n">con</span><span class="p">)</span>
+            <span class="n">line</span> <span class="o">=</span> <span class="n">ttc_df</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="n">linewidth</span> <span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">&#39;w&#39;</span><span class="p">,</span> <span class="n">alpha</span> <span class="o">=</span><span class="mf">0.6</span><span class="p">)</span> <span class="c1"># ttc subway layer</span>
+            <span class="n">line</span> <span class="o">=</span> <span class="n">ttc_df</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="n">linewidth</span> <span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">&#39;k&#39;</span><span class="p">,</span> <span class="n">alpha</span> <span class="o">=</span><span class="mf">0.4</span><span class="p">)</span> <span class="c1"># ttc subway layer</span>
+    
+         
+        <span class="n">props</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">boxstyle</span><span class="o">=</span><span class="s1">&#39;round&#39;</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;w&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+        <span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.775</span><span class="p">,</span> <span class="mf">0.37</span><span class="p">,</span> <span class="n">title</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span> <span class="n">wrap</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">7</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">semibold</span><span class="p">,</span>
+                <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;bottom&#39;</span><span class="p">,</span> <span class="n">bbox</span><span class="o">=</span><span class="n">props</span><span class="p">,</span> <span class="n">fontweight</span> <span class="o">=</span> <span class="s1">&#39;bold&#39;</span><span class="p">)</span> <span class="c1"># Adding the Legend Title</span>
+         
+        
+        <span class="n">cax</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span><span class="p">([</span><span class="mf">0.718</span><span class="p">,</span> <span class="mf">0.16</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mf">0.22</span><span class="p">])</span> <span class="c1"># Size of colorbar</span>
+         
+        <span class="n">rect</span> <span class="o">=</span> <span class="n">patches</span><span class="o">.</span><span class="n">Rectangle</span><span class="p">((</span><span class="mf">0.76</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">),</span><span class="mf">0.235</span><span class="p">,</span><span class="mf">0.43</span><span class="p">,</span><span class="n">linewidth</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="n">light</span><span class="p">,</span><span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;none&#39;</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">add_patch</span><span class="p">(</span><span class="n">rect</span><span class="p">)</span>
+        
+        <span class="n">ax</span><span class="o">.</span><span class="n">margins</span><span class="p">(</span><span class="mf">0.1</span><span class="p">)</span>
+         
+        <span class="n">sm</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">ScalarMappable</span><span class="p">(</span><span class="n">cmap</span><span class="o">=</span><span class="n">cmap</span><span class="p">,</span> <span class="n">norm</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">Normalize</span><span class="p">(</span><span class="n">vmin</span><span class="o">=</span><span class="n">lower</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="n">upper</span><span class="p">))</span>
+        <span class="n">sm</span><span class="o">.</span><span class="n">_A</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">cbr</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">sm</span><span class="p">,</span> <span class="n">cax</span><span class="o">=</span><span class="n">cax</span><span class="p">)</span>
+        <span class="n">cbr</span><span class="o">.</span><span class="n">outline</span><span class="o">.</span><span class="n">set_linewidth</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
+        <span class="n">tick_locator</span> <span class="o">=</span> <span class="n">ticker</span><span class="o">.</span><span class="n">MaxNLocator</span><span class="p">(</span><span class="n">nbins</span><span class="o">=</span><span class="n">nbins</span><span class="p">)</span>
+        <span class="n">cbr</span><span class="o">.</span><span class="n">locator</span> <span class="o">=</span> <span class="n">tick_locator</span>
+        <span class="n">cbr</span><span class="o">.</span><span class="n">update_ticks</span><span class="p">()</span>
+        <span class="n">cbr</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_tick_params</span><span class="p">(</span><span class="n">width</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+        <span class="n">cbr</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">tick_params</span><span class="p">(</span><span class="n">labelsize</span><span class="o">=</span><span class="mi">6</span><span class="p">)</span>  <span class="c1"># Formatting for Colorbar Text</span>
+        <span class="k">for</span> <span class="n">l</span> <span class="ow">in</span> <span class="n">cbr</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">get_ticklabels</span><span class="p">():</span>
+            <span class="n">l</span><span class="o">.</span><span class="n">set_family</span><span class="p">(</span><span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">)</span>
+        
+        <span class="k">if</span> <span class="n">unit</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">if</span> <span class="mi">0</span> <span class="o">&lt;</span> <span class="n">upper</span> <span class="o">&lt;</span> <span class="mi">10</span><span class="p">:</span>
+                <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.829</span><span class="p">,</span> <span class="mf">0.32</span><span class="p">,</span> <span class="n">unit</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span> <span class="n">wrap</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">6</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;bottom&#39;</span><span class="p">,</span> <span class="n">ha</span> <span class="o">=</span> <span class="s1">&#39;left&#39;</span><span class="p">)</span> 
+            <span class="k">elif</span> <span class="mi">10</span> <span class="o">&lt;=</span> <span class="n">upper</span> <span class="o">&lt;</span> <span class="mi">100</span><span class="p">:</span>
+                <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.839</span><span class="p">,</span> <span class="mf">0.32</span><span class="p">,</span> <span class="n">unit</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span> <span class="n">wrap</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">6</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;bottom&#39;</span><span class="p">,</span> <span class="n">ha</span> <span class="o">=</span> <span class="s1">&#39;left&#39;</span><span class="p">)</span>
+            <span class="k">elif</span> <span class="mi">100</span> <span class="o">&lt;=</span> <span class="n">upper</span> <span class="o">&lt;</span> <span class="mi">1000</span><span class="p">:</span>
+                <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.851</span><span class="p">,</span> <span class="mf">0.32</span><span class="p">,</span> <span class="n">unit</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span> <span class="n">wrap</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">6</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;bottom&#39;</span><span class="p">,</span> <span class="n">ha</span> <span class="o">=</span> <span class="s1">&#39;left&#39;</span><span class="p">)</span>
+            <span class="k">elif</span> <span class="mi">1000</span> <span class="o">&lt;=</span> <span class="n">upper</span> <span class="o">&lt;</span> <span class="mi">100000</span><span class="p">:</span>
+                <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.862</span><span class="p">,</span> <span class="mf">0.32</span><span class="p">,</span> <span class="n">unit</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span> <span class="n">wrap</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">6</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;bottom&#39;</span><span class="p">,</span> <span class="n">ha</span> <span class="o">=</span> <span class="s1">&#39;left&#39;</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="k">pass</span>
+            
+        
+        <span class="k">return</span> <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span></div>
+    
+<div class="viewcode-block" id="charts.line_chart"><a class="viewcode-back" href="../code.html#rick.charts.line_chart">[docs]</a>    <span class="k">def</span> <span class="nf">line_chart</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ylab</span><span class="p">,</span> <span class="n">xlab</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+        <span class="sd">&quot;&quot;&quot;Creates a line chart. x axis must be modified manually</span>
+<span class="sd">        </span>
+<span class="sd">        Parameters</span>
+<span class="sd">        -----------</span>
+<span class="sd">        data : array like or scalar</span>
+<span class="sd">            Data for the line chart.</span>
+<span class="sd">        ylab : str</span>
+<span class="sd">            Label for the y axis.</span>
+<span class="sd">        xlab : str</span>
+<span class="sd">            Label for the x axis.</span>
+<span class="sd">        ymax : int, optional, default is the max y value</span>
+<span class="sd">            The max value of the y axis</span>
+<span class="sd">        ymin : int, optional, default is 0</span>
+<span class="sd">            The minimum value of the y axis</span>
+<span class="sd">        baseline : array like or scalar, optional, default is None</span>
+<span class="sd">            Whether another line representing the baseline needs to be plotted</span>
+<span class="sd">        yinc : int, optional</span>
+<span class="sd">            The increment of ticks on the y axis.</span>
+<span class="sd">        </span>
+<span class="sd">        Returns </span>
+<span class="sd">        --------</span>
+<span class="sd">        fig</span>
+<span class="sd">            Matplotlib fig object</span>
+<span class="sd">        ax </span>
+<span class="sd">            Matplotlib ax object</span>
+<span class="sd">        props</span>
+<span class="sd">            Dictionary of the text annotation properties</span>
+<span class="sd">            </span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        
+        <span class="n">func</span><span class="p">()</span>
+        <span class="n">ymax</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;ymax&#39;</span><span class="p">,</span> <span class="nb">int</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">max</span><span class="p">()))</span>
+        <span class="n">ymin</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;ymin&#39;</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+        <span class="n">baseline</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;baseline&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        
+        <span class="n">delta</span> <span class="o">=</span> <span class="p">(</span><span class="n">ymax</span> <span class="o">-</span> <span class="n">ymin</span><span class="p">)</span><span class="o">/</span><span class="mi">4</span>
+        <span class="n">i</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="k">while</span> <span class="kc">True</span><span class="p">:</span>
+            <span class="n">delta</span> <span class="o">/=</span> <span class="mi">10</span>
+            <span class="n">i</span> <span class="o">+=</span> <span class="mi">1</span>
+            <span class="k">if</span> <span class="n">delta</span> <span class="o">&lt;</span> <span class="mi">10</span><span class="p">:</span>
+                <span class="k">break</span>
+        <span class="n">yinc</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;yinc&#39;</span><span class="p">,</span> <span class="nb">int</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">delta</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span><span class="o">*</span><span class="nb">pow</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span><span class="n">i</span><span class="p">)))</span>
+        
+        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">data</span> <span class="p">,</span><span class="n">linewidth</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="n">colour</span><span class="o">.</span><span class="n">purple</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">baseline</span> <span class="p">,</span><span class="n">linewidth</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="n">colour</span><span class="o">.</span><span class="n">grey</span><span class="p">)</span>
+
+        <span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">mpl</span><span class="o">.</span><span class="n">ticker</span><span class="o">.</span><span class="n">StrMethodFormatter</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{x:,.0f}</span><span class="s1">&#39;</span><span class="p">))</span>
+
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_facecolor</span><span class="p">(</span><span class="s1">&#39;xkcd:white&#39;</span><span class="p">)</span>
+
+        <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="n">xlab</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">9</span><span class="p">,</span> <span class="n">fontweight</span> <span class="o">=</span> <span class="s1">&#39;bold&#39;</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;right&#39;</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">labelpad</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> 
+                   <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;-&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">)</span>
+        <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="n">ylab</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">9</span><span class="p">,</span> <span class="n">fontweight</span> <span class="o">=</span> <span class="s1">&#39;bold&#39;</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;right&#39;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> 
+                   <span class="n">labelpad</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">)</span>
+        <span class="n">fig</span><span class="o">.</span><span class="n">set_size_inches</span><span class="p">(</span><span class="mf">6.1</span><span class="p">,</span> <span class="mf">4.1</span><span class="p">)</span>
+        <span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">9</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">)</span>
+        <span class="n">plt</span><span class="o">.</span><span class="n">yticks</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="n">ymin</span><span class="p">,</span><span class="nb">int</span><span class="p">(</span><span class="mf">4.1</span><span class="o">*</span><span class="n">yinc</span><span class="p">),</span> <span class="n">yinc</span><span class="p">),</span> <span class="n">fontsize</span> <span class="o">=</span><span class="mi">9</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">)</span>
+
+        <span class="n">props</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">boxstyle</span><span class="o">=</span><span class="s1">&#39;round, pad=0.4&#39;</span><span class="p">,</span><span class="n">edgecolor</span><span class="o">=</span><span class="n">colour</span><span class="o">.</span><span class="n">purple</span><span class="p">,</span> <span class="n">linewidth</span> <span class="o">=</span> <span class="mi">2</span><span class="p">,</span> <span class="n">facecolor</span> <span class="o">=</span> <span class="s1">&#39;w&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="n">ymin</span><span class="p">,</span><span class="nb">int</span><span class="p">(</span><span class="mi">4</span><span class="o">*</span><span class="n">yinc</span><span class="o">+</span><span class="n">ymin</span><span class="p">)])</span>
+        <span class="n">fig</span><span class="o">.</span><span class="n">patch</span><span class="o">.</span><span class="n">set_facecolor</span><span class="p">(</span><span class="s1">&#39;w&#39;</span><span class="p">)</span>
+        
+        <span class="k">return</span> <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">props</span></div>
+    
+<div class="viewcode-block" id="charts.tow_chart"><a class="viewcode-back" href="../code.html#rick.charts.tow_chart">[docs]</a>    <span class="k">def</span> <span class="nf">tow_chart</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">ylab</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+        <span class="sd">&quot;&quot;&quot;Creates a 7 day time of week line chart. Each data point represents 1 hour out of 168 hours.</span>
+<span class="sd">        </span>
+<span class="sd">        Parameters</span>
+<span class="sd">        -----------</span>
+<span class="sd">        data : array like or scalar</span>
+<span class="sd">            Data for the tow chart. Data must only have 168 entries, with row 0 representing Monday at midnight.</span>
+<span class="sd">        ylab : str</span>
+<span class="sd">            Label for the y axis.</span>
+<span class="sd">        ymax : int, optional, default is the max y value</span>
+<span class="sd">            The max value of the y axis</span>
+<span class="sd">        ymin : int, optional, default is 0</span>
+<span class="sd">            The minimum value of the y axis</span>
+<span class="sd">        yinc : int, optional</span>
+<span class="sd">            The increment of ticks on the y axis.</span>
+<span class="sd">        </span>
+<span class="sd">        Returns </span>
+<span class="sd">        --------</span>
+<span class="sd">        fig</span>
+<span class="sd">            Matplotlib fig object</span>
+<span class="sd">        ax </span>
+<span class="sd">            Matplotlib ax object</span>
+<span class="sd">        props</span>
+<span class="sd">            Dictionary of the text annotation properties</span>
+<span class="sd">            </span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">func</span><span class="p">()</span>
+        <span class="n">ymax</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;ymax&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">ymin</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;ymin&#39;</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+        
+        
+        <span class="n">ymax_flag</span> <span class="o">=</span> <span class="kc">True</span>
+        <span class="k">if</span> <span class="n">ymax</span> <span class="o">==</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">ymax</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
+            <span class="n">ymax_flag</span> <span class="o">=</span> <span class="kc">False</span>
+        
+        <span class="n">delta</span> <span class="o">=</span> <span class="p">(</span><span class="n">ymax</span> <span class="o">-</span> <span class="n">ymin</span><span class="p">)</span><span class="o">/</span><span class="mi">3</span>
+        <span class="n">i</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="k">while</span> <span class="kc">True</span><span class="p">:</span>
+            <span class="n">delta</span> <span class="o">/=</span> <span class="mi">10</span>
+            <span class="n">i</span> <span class="o">+=</span> <span class="mi">1</span>
+            <span class="k">if</span> <span class="n">delta</span> <span class="o">&lt;</span> <span class="mi">10</span><span class="p">:</span>
+                <span class="k">break</span>
+        <span class="n">yinc</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;yinc&#39;</span><span class="p">,</span> <span class="nb">int</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">delta</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span><span class="o">*</span><span class="nb">pow</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span><span class="n">i</span><span class="p">)))</span>
+        
+        <span class="k">if</span> <span class="n">ymax_flag</span> <span class="o">==</span> <span class="kc">True</span><span class="p">:</span>
+            <span class="n">upper</span> <span class="o">=</span> <span class="n">ymax</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">upper</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mi">3</span><span class="o">*</span><span class="n">yinc</span><span class="o">+</span><span class="n">ymin</span><span class="p">)</span>
+        
+        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">linewidth</span> <span class="o">=</span> <span class="mf">2.5</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="n">colour</span><span class="o">.</span><span class="n">purple</span><span class="p">)</span>
+
+        <span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_facecolor</span><span class="p">(</span><span class="s1">&#39;xkcd:white&#39;</span><span class="p">)</span>
+
+        <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Time of week&#39;</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">9</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">labelpad</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">fontweight</span> <span class="o">=</span> <span class="s1">&#39;bold&#39;</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="n">ymin</span><span class="p">,</span><span class="n">upper</span><span class="p">])</span>
+
+        <span class="n">ax</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;-&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">)</span>
+        <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="n">ylab</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">9</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;right&#39;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">labelpad</span><span class="o">=</span><span class="mi">7</span><span class="p">,</span> <span class="n">fontweight</span> <span class="o">=</span> <span class="s1">&#39;bold&#39;</span><span class="p">)</span>
+        <span class="n">fig</span><span class="o">.</span><span class="n">set_size_inches</span><span class="p">(</span><span class="mf">6.1</span><span class="p">,</span> <span class="mf">1.8</span><span class="p">)</span>
+
+
+        <span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">mpl</span><span class="o">.</span><span class="n">ticker</span><span class="o">.</span><span class="n">StrMethodFormatter</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{x:,.0f}</span><span class="s1">&#39;</span><span class="p">))</span>
+        <span class="n">plt</span><span class="o">.</span><span class="n">yticks</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="n">ymin</span><span class="p">,</span><span class="n">upper</span><span class="o">+</span><span class="nb">int</span><span class="p">(</span><span class="mf">0.1</span><span class="o">*</span><span class="n">yinc</span><span class="p">),</span> <span class="n">yinc</span><span class="p">),</span> <span class="n">fontsize</span> <span class="o">=</span><span class="mi">9</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">)</span>
+
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_xticks</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mi">180</span><span class="p">,</span><span class="mi">12</span><span class="p">))</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_xticklabels</span><span class="p">([</span><span class="s1">&#39;0&#39;</span><span class="p">,</span><span class="s1">&#39;12&#39;</span><span class="p">,</span><span class="s1">&#39;0&#39;</span><span class="p">,</span><span class="s1">&#39;12&#39;</span><span class="p">,</span>
+                                                            <span class="s1">&#39;0&#39;</span><span class="p">,</span><span class="s1">&#39;12&#39;</span><span class="p">,</span><span class="s1">&#39;0&#39;</span><span class="p">,</span><span class="s1">&#39;12&#39;</span><span class="p">,</span>
+                                         <span class="s1">&#39;0&#39;</span><span class="p">,</span><span class="s1">&#39;12&#39;</span><span class="p">,</span><span class="s1">&#39;0&#39;</span><span class="p">,</span><span class="s1">&#39;12&#39;</span><span class="p">,</span><span class="s1">&#39;0&#39;</span><span class="p">,</span><span class="s1">&#39;12&#39;</span><span class="p">],</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span> <span class="o">=</span> <span class="mi">7</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="n">colour</span><span class="o">.</span><span class="n">light_grey</span><span class="p">)</span>
+
+        <span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_minor_locator</span><span class="p">(</span><span class="n">ticker</span><span class="o">.</span><span class="n">FixedLocator</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">180</span><span class="p">,</span><span class="mi">24</span><span class="p">))))</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_minor_formatter</span><span class="p">(</span><span class="n">ticker</span><span class="o">.</span><span class="n">FixedFormatter</span><span class="p">([</span><span class="s1">&#39;Monday&#39;</span><span class="p">,</span><span class="s1">&#39;Tuesday&#39;</span><span class="p">,</span>
+                                                            <span class="s1">&#39;Wednesday&#39;</span><span class="p">,</span><span class="s1">&#39;Thursday&#39;</span><span class="p">,</span>
+                                         <span class="s1">&#39;Friday&#39;</span><span class="p">,</span><span class="s1">&#39;Saturday&#39;</span><span class="p">,</span><span class="s1">&#39;Sunday&#39;</span><span class="p">]))</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">tick_params</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="s1">&#39;x&#39;</span><span class="p">,</span> <span class="n">which</span><span class="o">=</span><span class="s1">&#39;minor&#39;</span><span class="p">,</span> <span class="n">colors</span> <span class="o">=</span> <span class="s1">&#39;k&#39;</span><span class="p">,</span> <span class="n">labelsize</span><span class="o">=</span><span class="mi">9</span><span class="p">,</span> <span class="n">pad</span> <span class="o">=</span><span class="mi">14</span><span class="p">)</span>
+
+        <span class="n">props</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">boxstyle</span><span class="o">=</span><span class="s1">&#39;round, pad=0.3&#39;</span><span class="p">,</span><span class="n">edgecolor</span><span class="o">=</span><span class="n">colour</span><span class="o">.</span><span class="n">purple</span><span class="p">,</span> <span class="n">linewidth</span> <span class="o">=</span> <span class="mf">1.5</span><span class="p">,</span> <span class="n">facecolor</span> <span class="o">=</span> <span class="s1">&#39;w&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span><span class="mi">167</span><span class="p">])</span>
+        <span class="k">return</span> <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">props</span></div>
+
+<div class="viewcode-block" id="charts.stacked_chart"><a class="viewcode-back" href="../code.html#rick.charts.stacked_chart">[docs]</a>    <span class="k">def</span> <span class="nf">stacked_chart</span><span class="p">(</span><span class="n">data_in</span><span class="p">,</span> <span class="n">xlab</span><span class="p">,</span> <span class="n">lab1</span><span class="p">,</span> <span class="n">lab2</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+        <span class="sd">&quot;&quot;&quot;Creates a stacked bar chart comparing 2 sets of data</span>
+<span class="sd">        </span>
+<span class="sd">        Parameters</span>
+<span class="sd">        -----------</span>
+<span class="sd">        data : dataframe</span>
+<span class="sd">            Data for the stacked bar chart. The dataframe must have 3 columns, the first representing the y ticks, the second representing the baseline, and the third representing the next series of data.</span>
+<span class="sd">        xlab : str</span>
+<span class="sd">            Label for the x axis.</span>
+<span class="sd">        lab1 : str</span>
+<span class="sd">            Label in the legend for the baseline</span>
+<span class="sd">        lab2 : str</span>
+<span class="sd">            Label in the legend fot the next data series</span>
+<span class="sd">        xmax : int, optional, default is the max s value</span>
+<span class="sd">            The max value of the y axis</span>
+<span class="sd">        xmin : int, optional, default is 0</span>
+<span class="sd">            The minimum value of the x axis</span>
+<span class="sd">        precision : int, optional, default is -1</span>
+<span class="sd">            Decimal places in the annotations</span>
+<span class="sd">        percent : boolean, optional, default is False</span>
+<span class="sd">            Whether the annotations should be formatted as percentages</span>
+<span class="sd">            </span>
+<span class="sd">        xinc : int, optional</span>
+<span class="sd">            The increment of ticks on the x axis.</span>
+<span class="sd">        </span>
+<span class="sd">        Returns </span>
+<span class="sd">        --------</span>
+<span class="sd">        fig</span>
+<span class="sd">            Matplotlib fig object</span>
+<span class="sd">        ax </span>
+<span class="sd">            Matplotlib ax object</span>
+<span class="sd">            </span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        
+        <span class="n">func</span><span class="p">()</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">data_in</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">deep</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+        
+        <span class="n">data</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">,</span> <span class="s1">&#39;values1&#39;</span><span class="p">,</span> <span class="s1">&#39;values2&#39;</span><span class="p">]</span>
+        
+        <span class="n">xmin</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;xmin&#39;</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+        <span class="n">xmax</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;xmax&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">precision</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;precision&#39;</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">percent</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;percent&#39;</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span>
+        
+        <span class="n">xmax_flag</span> <span class="o">=</span> <span class="kc">True</span>
+        <span class="k">if</span> <span class="n">xmax</span> <span class="o">==</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">xmax</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">data</span><span class="p">[[</span><span class="s1">&#39;values1&#39;</span><span class="p">,</span> <span class="s1">&#39;values2&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">max</span><span class="p">()))</span>
+            <span class="n">xmax_flag</span> <span class="o">=</span> <span class="kc">False</span>
+        
+        <span class="n">delta</span> <span class="o">=</span> <span class="p">(</span><span class="n">xmax</span> <span class="o">-</span> <span class="n">xmin</span><span class="p">)</span><span class="o">/</span><span class="mi">4</span>
+        <span class="n">i</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="k">while</span> <span class="kc">True</span><span class="p">:</span>
+            <span class="n">delta</span> <span class="o">/=</span> <span class="mi">10</span>
+            <span class="n">i</span> <span class="o">+=</span> <span class="mi">1</span>
+            <span class="k">if</span> <span class="n">delta</span> <span class="o">&lt;</span> <span class="mi">10</span><span class="p">:</span>
+                <span class="k">break</span>
+        <span class="n">xinc</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;xinc&#39;</span><span class="p">,</span> <span class="nb">int</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">delta</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span><span class="o">*</span><span class="nb">pow</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span><span class="n">i</span><span class="p">)))</span>
+
+        <span class="k">if</span> <span class="n">xmax_flag</span> <span class="o">==</span> <span class="kc">True</span><span class="p">:</span>
+            <span class="n">upper</span> <span class="o">=</span> <span class="n">xmax</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">upper</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mi">4</span><span class="o">*</span><span class="n">xinc</span><span class="o">+</span><span class="n">xmin</span><span class="p">)</span>
+        
+        <span class="n">ind</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">))</span>
+
+        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+        <span class="n">fig</span><span class="o">.</span><span class="n">set_size_inches</span><span class="p">(</span><span class="mf">6.1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">))</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;-&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.25</span><span class="p">)</span>
+
+        <span class="n">p1</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">ind</span><span class="o">+</span><span class="mf">0.4</span><span class="p">,</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;values1&#39;</span><span class="p">],</span> <span class="mf">0.4</span><span class="p">,</span> <span class="n">align</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="n">colour</span><span class="o">.</span><span class="n">grey</span><span class="p">)</span>
+        <span class="n">p2</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">ind</span><span class="p">,</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;values2&#39;</span><span class="p">],</span> <span class="mf">0.4</span><span class="p">,</span> <span class="n">align</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="n">colour</span><span class="o">.</span><span class="n">purple</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">mpl</span><span class="o">.</span><span class="n">ticker</span><span class="o">.</span><span class="n">StrMethodFormatter</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{x:,.0f}</span><span class="s1">&#39;</span><span class="p">))</span>
+
+        <span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="kc">True</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_yticks</span><span class="p">(</span><span class="n">ind</span><span class="o">+</span><span class="mf">0.4</span><span class="o">/</span><span class="mi">2</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="n">upper</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">])</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="n">xlab</span><span class="p">,</span>  <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">labelpad</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">fontweight</span> <span class="o">=</span> <span class="s1">&#39;bold&#39;</span><span class="p">)</span>
+
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_facecolor</span><span class="p">(</span><span class="s1">&#39;xkcd:white&#39;</span><span class="p">)</span>
+        <span class="n">j</span><span class="o">=</span><span class="mi">0</span>
+        
+        <span class="k">if</span> <span class="n">precision</span> <span class="o">&lt;</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">data</span><span class="p">[[</span><span class="s1">&#39;values1&#39;</span><span class="p">,</span> <span class="s1">&#39;values2&#39;</span><span class="p">]]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[[</span><span class="s1">&#39;values1&#39;</span><span class="p">,</span> <span class="s1">&#39;values2&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;values2&#39;</span><span class="p">]:</span>
+            <span class="k">if</span> <span class="n">i</span> <span class="o">&lt;</span> <span class="mf">0.1</span><span class="o">*</span><span class="n">upper</span><span class="p">:</span>
+                <span class="n">ax</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="nb">format</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">i</span><span class="p">,</span><span class="n">precision</span><span class="p">),</span> <span class="s1">&#39;,&#39;</span><span class="p">)),</span> <span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">i</span><span class="o">-</span><span class="mf">0.015</span><span class="o">*</span><span class="n">upper</span><span class="p">,</span> <span class="n">j</span><span class="o">-</span><span class="mf">0.05</span><span class="p">),</span> <span class="n">ha</span> <span class="o">=</span> <span class="s1">&#39;right&#39;</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">&#39;w&#39;</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">ax</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="nb">format</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">i</span><span class="p">,</span><span class="n">precision</span><span class="p">),</span> <span class="s1">&#39;,&#39;</span><span class="p">)),</span> <span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">i</span><span class="o">-</span><span class="mf">0.015</span><span class="o">*</span><span class="n">upper</span><span class="p">,</span> <span class="n">j</span><span class="o">-</span><span class="mf">0.05</span><span class="p">),</span> <span class="n">ha</span> <span class="o">=</span> <span class="s1">&#39;right&#39;</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">&#39;w&#39;</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+            <span class="n">j</span><span class="o">=</span><span class="n">j</span><span class="o">+</span><span class="mi">1</span>
+        <span class="n">j</span><span class="o">=</span><span class="mf">0.4</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;values1&#39;</span><span class="p">]:</span>
+            <span class="k">if</span> <span class="n">i</span> <span class="o">&lt;</span> <span class="mf">0.1</span><span class="o">*</span><span class="n">upper</span><span class="p">:</span>
+                <span class="n">ax</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="nb">format</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">i</span><span class="p">,</span><span class="n">precision</span><span class="p">),</span> <span class="s1">&#39;,&#39;</span><span class="p">)),</span> <span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">i</span><span class="o">+</span><span class="mf">0.015</span><span class="o">*</span><span class="n">upper</span><span class="p">,</span> <span class="n">j</span><span class="o">-</span><span class="mf">0.05</span><span class="p">),</span> <span class="n">ha</span> <span class="o">=</span> <span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">&#39;k&#39;</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">ax</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="nb">format</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">i</span><span class="p">,</span><span class="n">precision</span><span class="p">),</span> <span class="s1">&#39;,&#39;</span><span class="p">)),</span> <span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">i</span><span class="o">-</span><span class="mf">0.015</span><span class="o">*</span><span class="n">upper</span><span class="p">,</span> <span class="n">j</span><span class="o">-</span><span class="mf">0.05</span><span class="p">),</span> <span class="n">ha</span> <span class="o">=</span> <span class="s1">&#39;right&#39;</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">&#39;w&#39;</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+            <span class="n">j</span><span class="o">=</span><span class="n">j</span><span class="o">+</span><span class="mi">1</span>
+
+        
+        <span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">((</span><span class="n">p1</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">p2</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span> <span class="p">(</span><span class="n">lab1</span><span class="p">,</span> <span class="n">lab2</span><span class="p">),</span> <span class="n">loc</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">frameon</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">prop</span><span class="o">=</span><span class="n">font</span><span class="o">.</span><span class="n">leg_font</span><span class="p">)</span>
+        <span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="n">xmin</span><span class="p">,</span><span class="n">upper</span><span class="o">+</span><span class="nb">int</span><span class="p">(</span><span class="mf">0.1</span><span class="o">*</span><span class="n">xinc</span><span class="p">),</span> <span class="n">xinc</span><span class="p">),</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span> <span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+        <span class="n">plt</span><span class="o">.</span><span class="n">yticks</span><span class="p">(</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span> <span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+        
+        <span class="k">if</span> <span class="n">percent</span> <span class="o">==</span> <span class="kc">True</span><span class="p">:</span>
+            <span class="n">data_yoy</span> <span class="o">=</span> <span class="n">data</span>
+            <span class="n">data_yoy</span><span class="p">[</span><span class="s1">&#39;percent&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;values2&#39;</span><span class="p">]</span><span class="o">-</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;values1&#39;</span><span class="p">])</span><span class="o">*</span><span class="mi">100</span><span class="o">/</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;values1&#39;</span><span class="p">]</span>
+            <span class="n">j</span><span class="o">=</span><span class="mf">0.15</span>
+            <span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">data_yoy</span><span class="o">.</span><span class="n">iterrows</span><span class="p">():</span>
+                <span class="n">ax</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s1">&#39;+&#39;</span><span class="o">+</span><span class="nb">str</span><span class="p">(</span><span class="nb">format</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;percent&#39;</span><span class="p">],</span><span class="mi">0</span><span class="p">)),</span> <span class="s1">&#39;,&#39;</span><span class="p">))</span><span class="o">+</span><span class="s1">&#39;%&#39;</span><span class="p">,</span> <span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">row</span><span class="p">[[</span><span class="s1">&#39;values1&#39;</span><span class="p">,</span> <span class="s1">&#39;values2&#39;</span><span class="p">]])</span> <span class="o">+</span> <span class="mf">0.03</span><span class="o">*</span><span class="n">upper</span><span class="p">,</span> <span class="n">j</span><span class="p">),</span> 
+                                                                                           <span class="n">color</span> <span class="o">=</span> <span class="s1">&#39;k&#39;</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+                <span class="n">j</span><span class="o">=</span><span class="n">j</span><span class="o">+</span><span class="mi">1</span>
+                
+
+        <span class="k">return</span> <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span></div>
+    
+<div class="viewcode-block" id="charts.bar_chart"><a class="viewcode-back" href="../code.html#rick.charts.bar_chart">[docs]</a>    <span class="k">def</span> <span class="nf">bar_chart</span><span class="p">(</span><span class="n">data_in</span><span class="p">,</span> <span class="n">xlab</span><span class="p">,</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+        <span class="sd">&quot;&quot;&quot;Creates a bar chart</span>
+<span class="sd">        </span>
+<span class="sd">        Parameters</span>
+<span class="sd">        -----------</span>
+<span class="sd">        data : dataframe</span>
+<span class="sd">            Data for the bar chart. The dataframe must have 2 columns, the first representing the y ticks, and the second representing the data</span>
+<span class="sd">        xlab : str</span>
+<span class="sd">            Label for the x axis.</span>
+<span class="sd">        xmax : int, optional, default is the max s value</span>
+<span class="sd">            The max value of the y axis</span>
+<span class="sd">        xmin : int, optional, default is 0</span>
+<span class="sd">            The minimum value of the x axis</span>
+<span class="sd">        precision : int, optional, default is -1</span>
+<span class="sd">            Decimal places in the annotations</span>
+<span class="sd">            </span>
+<span class="sd">        xinc : int, optional</span>
+<span class="sd">            The increment of ticks on the x axis.</span>
+<span class="sd">        </span>
+<span class="sd">        Returns </span>
+<span class="sd">        --------</span>
+<span class="sd">        fig</span>
+<span class="sd">            Matplotlib fig object</span>
+<span class="sd">        ax </span>
+<span class="sd">            Matplotlib ax object</span>
+<span class="sd">            </span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">func</span><span class="p">()</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">data_in</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">deep</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+        
+        <span class="n">data</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">,</span> <span class="s1">&#39;values1&#39;</span><span class="p">]</span>
+        
+        <span class="n">xmin</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;xmin&#39;</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+        <span class="n">xmax</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;xmax&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">precision</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;precision&#39;</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+        
+        <span class="n">xmax_flag</span> <span class="o">=</span> <span class="kc">True</span>
+        <span class="k">if</span> <span class="n">xmax</span> <span class="o">==</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">xmax</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;values1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
+            <span class="n">xmax_flag</span> <span class="o">=</span> <span class="kc">False</span>
+
+        <span class="n">delta</span> <span class="o">=</span> <span class="p">(</span><span class="n">xmax</span> <span class="o">-</span> <span class="n">xmin</span><span class="p">)</span><span class="o">/</span><span class="mi">4</span>
+        <span class="n">i</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="k">while</span> <span class="kc">True</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">delta</span> <span class="o">&lt;</span> <span class="mi">10</span><span class="p">:</span>
+                <span class="k">break</span>
+            <span class="n">delta</span> <span class="o">/=</span> <span class="mi">10</span>
+            <span class="n">i</span> <span class="o">+=</span> <span class="mi">1</span>
+        <span class="n">xinc</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;xinc&#39;</span><span class="p">,</span> <span class="nb">int</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">delta</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span><span class="o">*</span><span class="nb">pow</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span><span class="n">i</span><span class="p">)))</span>
+
+        <span class="k">if</span> <span class="n">xmax_flag</span> <span class="o">==</span> <span class="kc">True</span><span class="p">:</span>
+            <span class="n">upper</span> <span class="o">=</span> <span class="n">xmax</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">upper</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mi">4</span><span class="o">*</span><span class="n">xinc</span><span class="o">+</span><span class="n">xmin</span><span class="p">)</span>
+        
+        <span class="n">ind</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">))</span>
+
+        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+        <span class="n">fig</span><span class="o">.</span><span class="n">set_size_inches</span><span class="p">(</span><span class="mf">6.1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)</span><span class="o">*</span><span class="mf">0.7</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;-&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.25</span><span class="p">)</span>
+        <span class="n">p2</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">ind</span><span class="p">,</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;values1&#39;</span><span class="p">],</span> <span class="mf">0.75</span><span class="p">,</span> <span class="n">align</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="n">colour</span><span class="o">.</span><span class="n">purple</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">mpl</span><span class="o">.</span><span class="n">ticker</span><span class="o">.</span><span class="n">StrMethodFormatter</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{x:,.0f}</span><span class="s1">&#39;</span><span class="p">))</span>
+
+        <span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="kc">True</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_yticks</span><span class="p">(</span><span class="n">ind</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="n">upper</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">])</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="n">xlab</span><span class="p">,</span>  <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">labelpad</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">fontweight</span> <span class="o">=</span> <span class="s1">&#39;bold&#39;</span><span class="p">)</span>
+
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_facecolor</span><span class="p">(</span><span class="s1">&#39;xkcd:white&#39;</span><span class="p">)</span>
+        <span class="n">j</span><span class="o">=</span><span class="mi">0</span>
+        
+        <span class="k">if</span> <span class="n">precision</span> <span class="o">&lt;</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">data</span><span class="p">[</span><span class="s1">&#39;values1&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;values1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
+
+        <span class="n">j</span><span class="o">=</span><span class="mi">0</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;values1&#39;</span><span class="p">]:</span>
+            <span class="k">if</span> <span class="n">i</span> <span class="o">&lt;</span> <span class="mf">0.1</span><span class="o">*</span><span class="n">upper</span><span class="p">:</span>
+                <span class="n">ax</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="nb">format</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">i</span><span class="p">,</span><span class="n">precision</span><span class="p">),</span> <span class="s1">&#39;,&#39;</span><span class="p">)),</span> <span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">i</span><span class="o">+</span><span class="mf">0.015</span><span class="o">*</span><span class="n">upper</span><span class="p">,</span> <span class="n">j</span><span class="o">-</span><span class="mf">0.05</span><span class="p">),</span> <span class="n">ha</span> <span class="o">=</span> <span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">&#39;k&#39;</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">ax</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="nb">format</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="n">i</span><span class="p">,</span><span class="n">precision</span><span class="p">),</span> <span class="s1">&#39;,&#39;</span><span class="p">)),</span> <span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">i</span><span class="o">-</span><span class="mf">0.015</span><span class="o">*</span><span class="n">upper</span><span class="p">,</span> <span class="n">j</span><span class="o">-</span><span class="mf">0.05</span><span class="p">),</span> <span class="n">ha</span> <span class="o">=</span> <span class="s1">&#39;right&#39;</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">&#39;w&#39;</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+            <span class="n">j</span><span class="o">=</span><span class="n">j</span><span class="o">+</span><span class="mi">1</span>
+
+        
+        <span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="n">xmin</span><span class="p">,</span><span class="n">upper</span><span class="o">+</span><span class="nb">int</span><span class="p">(</span><span class="mf">0.1</span><span class="o">*</span><span class="n">xinc</span><span class="p">),</span> <span class="n">xinc</span><span class="p">),</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span> <span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+        <span class="n">plt</span><span class="o">.</span><span class="n">yticks</span><span class="p">(</span> <span class="n">fontname</span> <span class="o">=</span> <span class="n">font</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span> <span class="n">fontsize</span> <span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+        
+        <span class="k">return</span> <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span></div></div>
+</pre></div>
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="../index.html">Documentation overview</a><ul>
+  <li><a href="index.html">Module code</a><ul>
+  </ul></li>
+  </ul></li>
+</ul>
+</div>
+<div id="searchbox" style="display: none" role="search">
+  <h3 id="searchlabel">Quick search</h3>
+    <div class="searchformwrapper">
+    <form class="search" action="../search.html" method="get">
+      <input type="text" name="q" aria-labelledby="searchlabel" />
+      <input type="submit" value="Go" />
+    </form>
+    </div>
+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
+        </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="footer">
+      &copy;2019, Rick Liu.
+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/_sources/auto_examples/index.rst.txt b/docs/_sources/auto_examples/index.rst.txt
new file mode 100644
index 0000000..3df34af
--- /dev/null
+++ b/docs/_sources/auto_examples/index.rst.txt
@@ -0,0 +1,139 @@
+:orphan:
+
+
+
+.. _sphx_glr_auto_examples:
+
+Gallery of Charts
+==================
+
+Below is a gallery of example charts for each charting function in rick.charts. 
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a bar chart. ">
+
+.. only:: html
+
+    .. figure:: /auto_examples/images/thumb/sphx_glr_plot_bar_thumb.png
+
+        :ref:`sphx_glr_auto_examples_plot_bar.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_bar
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a time of week chart. ">
+
+.. only:: html
+
+    .. figure:: /auto_examples/images/thumb/sphx_glr_plot_tow_thumb.png
+
+        :ref:`sphx_glr_auto_examples_plot_tow.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_tow
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a stacked bar chart. ">
+
+.. only:: html
+
+    .. figure:: /auto_examples/images/thumb/sphx_glr_plot_stacked_thumb.png
+
+        :ref:`sphx_glr_auto_examples_plot_stacked.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_stacked
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a chloropleth map. ">
+
+.. only:: html
+
+    .. figure:: /auto_examples/images/thumb/sphx_glr_plot_chloropleth_thumb.png
+
+        :ref:`sphx_glr_auto_examples_plot_chloropleth.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_chloropleth
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a line chart, with an additional baseline plot and custom formatted x axis....">
+
+.. only:: html
+
+    .. figure:: /auto_examples/images/thumb/sphx_glr_plot_line_thumb.png
+
+        :ref:`sphx_glr_auto_examples_plot_line.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /auto_examples/plot_line
+.. raw:: html
+
+    <div style='clear:both'></div>
+
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-gallery
+
+
+  .. container:: sphx-glr-download
+
+    :download:`Download all examples in Python source code: auto_examples_python.zip </C:/Users/rliu4/Documents/GitHub/bdit_python_utilities/charts/auto_examples/auto_examples_python.zip>`
+
+
+
+  .. container:: sphx-glr-download
+
+    :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </C:/Users/rliu4/Documents/GitHub/bdit_python_utilities/charts/auto_examples/auto_examples_jupyter.zip>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/docs/_sources/auto_examples/plot_bar.rst.txt b/docs/_sources/auto_examples/plot_bar.rst.txt
new file mode 100644
index 0000000..c20872e
--- /dev/null
+++ b/docs/_sources/auto_examples/plot_bar.rst.txt
@@ -0,0 +1,101 @@
+.. note::
+    :class: sphx-glr-download-link-note
+
+    Click :ref:`here <sphx_glr_download_auto_examples_plot_bar.py>` to download the full example code
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_bar.py:
+
+
+Bar Chart
+==================
+
+Makes an example of a bar chart.
+
+
+.. code-block:: default
+
+
+    from sqlalchemy import create_engine
+    import matplotlib.pyplot as plt
+    import matplotlib as mpl
+    import pandas as pd 
+    import configparser
+    from psycopg2 import connect
+    import psycopg2.sql as pg
+    import pandas.io.sql as pandasql
+    import numpy as np 
+    import datetime
+    import math
+    import rick
+    import geopandas as gpd
+    import os
+    import shapely
+    from shapely.geometry import Point
+    os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+    import importlib
+    import matplotlib.ticker as ticker
+    import matplotlib.font_manager as font_manager
+
+
+
+
+
+
+
+Data Collection
+----------------
+
+This creates a test dataframe to use
+
+
+.. code-block:: default
+
+    pass_data = {'cat': ['PTC','Taxi',  'Trip Making Population'],
+            'TTC Pass': [22,16,16],
+            }
+
+    transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass'])
+    transit_pass  = transit_pass .reindex(index=transit_pass .index[::-1])
+
+    fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_bar_001.png
+    :class: sphx-glr-single-img
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  27.838 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_bar.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Python source code: plot_bar.py <plot_bar.py>`
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Jupyter notebook: plot_bar.ipynb <plot_bar.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/docs/_sources/auto_examples/plot_chloropleth.rst.txt b/docs/_sources/auto_examples/plot_chloropleth.rst.txt
new file mode 100644
index 0000000..afc09fb
--- /dev/null
+++ b/docs/_sources/auto_examples/plot_chloropleth.rst.txt
@@ -0,0 +1,174 @@
+.. note::
+    :class: sphx-glr-download-link-note
+
+    Click :ref:`here <sphx_glr_download_auto_examples_plot_chloropleth.py>` to download the full example code
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_chloropleth.py:
+
+
+Chloropleth Map
+==================
+
+Makes an example of a chloropleth map.
+
+
+.. code-block:: default
+
+
+
+    from sqlalchemy import create_engine
+    import matplotlib.pyplot as plt
+    import matplotlib as mpl
+    import pandas as pd 
+    import configparser
+    from psycopg2 import connect
+    import psycopg2.sql as pg
+    import pandas.io.sql as pandasql
+    import numpy as np 
+    import datetime
+    import math
+    import rick
+    import geopandas as gpd
+    import os
+    import shapely
+    from shapely.geometry import Point
+    os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+    import importlib
+    import matplotlib.ticker as ticker
+    import matplotlib.font_manager as font_manager
+    CONFIG = configparser.ConfigParser()
+    CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+    dbset = CONFIG['DBSETTINGS']
+    con = connect(**dbset)
+
+
+
+
+
+
+
+Data Collection
+----------------
+
+This Section grabs and formats the data.
+
+
+.. code-block:: default
+
+    query = '''
+
+    WITH sum AS (
+    SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, 
+    sum(count) as count  FROM ptc.trip_data_agg_neighbourhood
+    GROUP BY   pickup_datetime, pickup_neighbourhood
+
+    ), ward1 AS  (
+
+    SELECT  avg(count) as count, pickup_neighbourhood from sum
+    WHERE (yr=2018 AND mon IN (9))
+    GROUP BY pickup_neighbourhood
+    ORDER BY count
+    ), ward2 AS  (
+
+    SELECT avg(count) as count, pickup_neighbourhood from sum
+    WHERE (yr=2016 AND mon IN (10))
+    GROUP BY pickup_neighbourhood
+    ORDER BY count
+    )
+
+    SELECT pickup_neighbourhood,  geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a 
+    LEFT JOIN ward1 b USING ( pickup_neighbourhood)
+    LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood
+
+    '''
+
+
+
+
+
+
+Rotates data 17 degrees to orient Toronto perpendicularly
+
+
+.. code-block:: default
+
+    data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
+    data = data.to_crs({'init' :'epsg:3857'})
+
+    for index, row in data.iterrows():
+        rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))
+        data.at[index, 'geom'] = rotated
+
+
+
+
+
+
+
+The function only needs these columns, in this order
+
+
+.. code-block:: default
+
+    data=data[['geom', 'growth']]
+
+
+
+
+
+
+
+
+Calls the Function
+
+
+
+
+
+.. code-block:: default
+
+    fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', 
+                                           island = False,  unit = '%', nbins = 3)
+
+
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_chloropleth_001.png
+    :class: sphx-glr-single-img
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  18.050 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_chloropleth.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Python source code: plot_chloropleth.py <plot_chloropleth.py>`
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Jupyter notebook: plot_chloropleth.ipynb <plot_chloropleth.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/docs/_sources/auto_examples/plot_line.rst.txt b/docs/_sources/auto_examples/plot_line.rst.txt
new file mode 100644
index 0000000..af24062
--- /dev/null
+++ b/docs/_sources/auto_examples/plot_line.rst.txt
@@ -0,0 +1,197 @@
+.. note::
+    :class: sphx-glr-download-link-note
+
+    Click :ref:`here <sphx_glr_download_auto_examples_plot_line.py>` to download the full example code
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_line.py:
+
+
+Line Chart
+==================
+
+Makes an example of a line chart, with an additional baseline plot and custom formatted x axis.
+
+
+.. code-block:: default
+
+
+    from sqlalchemy import create_engine
+    import matplotlib.pyplot as plt
+    import matplotlib as mpl
+    import pandas as pd 
+    import configparser
+    from psycopg2 import connect
+    import psycopg2.sql as pg
+    import pandas.io.sql as pandasql
+    import numpy as np 
+    import datetime
+    import math
+    import rick
+    import geopandas as gpd
+    import os
+    import shapely
+    from shapely.geometry import Point
+    os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+    import importlib
+    import matplotlib.ticker as ticker
+    import matplotlib.font_manager as font_manager
+
+
+    CONFIG = configparser.ConfigParser()
+    CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+    dbset = CONFIG['DBSETTINGS']
+    con = connect(**dbset)
+
+
+
+
+
+
+Data Collection
+----------------
+
+This Section grabs and formats the data.
+
+
+.. code-block:: default
+
+
+    query='''
+    WITH daily_ave AS (
+
+    SELECT * FROM ptc.daily_trips
+    ), total AS  (
+    SELECT  extract(month from pickup_datetime) as mon,
+    extract(year from pickup_datetime) as yr,
+
+    CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+    WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+    avg(count)::integer END as count FROM daily_ave
+    GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+    ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+    )
+
+
+    SELECT 
+    CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+    WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+    ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+    END AS period, 
+    count FROM total
+    '''
+    total=pandasql.read_sql(query, con)
+
+
+
+
+
+
+Gets the baseline data (to be graphed in grey)
+
+
+.. code-block:: default
+
+
+
+
+    query='''
+    WITH daily_ave AS (
+
+    SELECT * FROM ptc.daily_trips
+    ), total AS  (
+    SELECT  extract(month from pickup_datetime) as mon,
+    extract(year from pickup_datetime) as yr,
+
+    CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+    WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+    avg(count)::integer END as count FROM daily_ave
+    GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+    ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+    )
+
+
+    SELECT 
+    CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+    WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text 
+    ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+    END AS period, 
+    count/2 as count FROM total
+    '''
+    total2=pandasql.read_sql(query, con)
+
+    fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])
+
+
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_line_001.png
+    :class: sphx-glr-single-img
+
+
+
+
+Adds annotations
+
+
+.. code-block:: default
+
+    fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',
+             verticalalignment='top', ha = 'center', bbox=props, color = '#660159')
+
+
+
+
+
+
+Adds custom x axis
+
+
+.. code-block:: default
+
+    month_lst2 = ['Sept\n2016',  'Jan\n2017',  'May',  'Sept',
+                   'Jan\n2018', 'May',  'Sept', 
+                  'Jan\n2019','May',]
+    plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')
+
+
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_line_002.png
+    :class: sphx-glr-single-img
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  1.126 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_line.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Python source code: plot_line.py <plot_line.py>`
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Jupyter notebook: plot_line.ipynb <plot_line.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/docs/_sources/auto_examples/plot_stacked.rst.txt b/docs/_sources/auto_examples/plot_stacked.rst.txt
new file mode 100644
index 0000000..238000d
--- /dev/null
+++ b/docs/_sources/auto_examples/plot_stacked.rst.txt
@@ -0,0 +1,131 @@
+.. note::
+    :class: sphx-glr-download-link-note
+
+    Click :ref:`here <sphx_glr_download_auto_examples_plot_stacked.py>` to download the full example code
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_stacked.py:
+
+
+Stacked Bar Chart
+==================
+
+Makes an example of a stacked bar chart.
+
+
+.. code-block:: default
+
+
+    from sqlalchemy import create_engine
+    import matplotlib.pyplot as plt
+    import matplotlib as mpl
+    import pandas as pd 
+    import configparser
+    from psycopg2 import connect
+    import psycopg2.sql as pg
+    import pandas.io.sql as pandasql
+    import numpy as np 
+    import datetime
+    import math
+    import rick
+    import geopandas as gpd
+    import os
+    import shapely
+    from shapely.geometry import Point
+    os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+    import importlib
+    import matplotlib.ticker as ticker
+    import matplotlib.font_manager as font_manager
+
+
+    CONFIG = configparser.ConfigParser()
+    CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+    dbset = CONFIG['DBSETTINGS']
+    con = connect(**dbset)
+
+
+
+
+
+
+Data Collection
+----------------
+
+This Section grabs and formats the data.
+
+
+.. code-block:: default
+
+    query = ''' 
+
+    WITH sum AS (
+
+    SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25
+    LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short
+
+    WHERE pickup_datetime > '2016-09-30'
+    GROUP BY pickup_datetime, area_name
+    ), collect AS (
+    SELECT area_name, avg(count) as count, mon, yr from sum
+    group by area_name,  mon, yr)
+
+    ,tot1 AS (
+
+    SELECT area_name, avg(count) as count FROM collect
+    WHERE (yr =2016 AND mon IN (10))
+    GROUP BY area_name
+    ), tot2 AS (
+
+    SELECT area_name, avg(count) as count FROM collect
+    WHERE (yr =2018 AND mon IN (9)) 
+    GROUP BY area_name
+    )
+    SELECT SPLIT_PART(area_name, 'Community', 1) as area_name,
+    b.count as count1, a.count as count2 FROM tot1 b
+    LEFT JOIN tot2 a USING (area_name)
+    ORDER BY count1 ASC
+    '''
+
+    district_cond = pandasql.read_sql(query, con)
+
+    fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_stacked_001.png
+    :class: sphx-glr-single-img
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  3.557 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_stacked.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Python source code: plot_stacked.py <plot_stacked.py>`
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Jupyter notebook: plot_stacked.ipynb <plot_stacked.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/docs/_sources/auto_examples/plot_tow.rst.txt b/docs/_sources/auto_examples/plot_tow.rst.txt
new file mode 100644
index 0000000..967cc39
--- /dev/null
+++ b/docs/_sources/auto_examples/plot_tow.rst.txt
@@ -0,0 +1,125 @@
+.. note::
+    :class: sphx-glr-download-link-note
+
+    Click :ref:`here <sphx_glr_download_auto_examples_plot_tow.py>` to download the full example code
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_auto_examples_plot_tow.py:
+
+
+Time of Week Chart
+==================
+
+Makes an example of a time of week chart.
+
+
+.. code-block:: default
+
+
+    from sqlalchemy import create_engine
+    import matplotlib.pyplot as plt
+    import matplotlib as mpl
+    import pandas as pd 
+    import configparser
+    from psycopg2 import connect
+    import psycopg2.sql as pg
+    import pandas.io.sql as pandasql
+    import numpy as np 
+    import datetime
+    import math
+    import rick
+    import geopandas as gpd
+    import os
+    import shapely
+    from shapely.geometry import Point
+    os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+    import importlib
+    import matplotlib.ticker as ticker
+    import matplotlib.font_manager as font_manager
+
+
+    CONFIG = configparser.ConfigParser()
+    CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+    dbset = CONFIG['DBSETTINGS']
+    con = connect(**dbset)
+
+
+
+
+
+
+Data Collection
+----------------
+
+This Section grabs and formats the data.
+
+
+.. code-block:: default
+
+    query = '''
+
+    WITH sum AS (
+
+    SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,
+    extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25
+
+
+    WHERE pickup_datetime > '2018-08-31'
+    GROUP BY pickup_datetime, hr
+
+    )
+    , collect AS (
+    SELECT  avg(count) as count, hr, dow from sum
+    group by hr, dow)
+
+    SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, 
+    CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch
+    FROM collect
+    LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr
+    LEFT JOIN ptc.periods_simple USING (period_uid)
+    ORDER BY dow, hr
+
+    '''
+    count_18 = pandasql.read_sql(query,con)
+
+    fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)
+
+
+.. image:: /auto_examples/images/sphx_glr_plot_tow_001.png
+    :class: sphx-glr-single-img
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  1.408 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_tow.py:
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Python source code: plot_tow.py <plot_tow.py>`
+
+
+
+  .. container:: sphx-glr-download
+
+     :download:`Download Jupyter notebook: plot_tow.ipynb <plot_tow.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/docs/_sources/auto_examples/sg_execution_times.rst.txt b/docs/_sources/auto_examples/sg_execution_times.rst.txt
new file mode 100644
index 0000000..b94b955
--- /dev/null
+++ b/docs/_sources/auto_examples/sg_execution_times.rst.txt
@@ -0,0 +1,14 @@
+
+:orphan:
+
+.. _sphx_glr_auto_examples_sg_execution_times:
+
+Computation times
+=================
+**00:33.929** total execution time for **auto_examples** files:
+
+- **00:27.838**: :ref:`sphx_glr_auto_examples_plot_bar.py` (``plot_bar.py``)
+- **00:03.557**: :ref:`sphx_glr_auto_examples_plot_stacked.py` (``plot_stacked.py``)
+- **00:01.408**: :ref:`sphx_glr_auto_examples_plot_tow.py` (``plot_tow.py``)
+- **00:01.126**: :ref:`sphx_glr_auto_examples_plot_line.py` (``plot_line.py``)
+- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_chloropleth.py` (``plot_chloropleth.py``)
diff --git a/docs/_sources/code.rst.txt b/docs/_sources/code.rst.txt
new file mode 100644
index 0000000..01cb60b
--- /dev/null
+++ b/docs/_sources/code.rst.txt
@@ -0,0 +1,5 @@
+Auto Generated Documentation
+============================
+
+.. automodule:: rick
+	:members:
\ No newline at end of file
diff --git a/docs/_sources/index.rst.txt b/docs/_sources/index.rst.txt
new file mode 100644
index 0000000..9bde69a
--- /dev/null
+++ b/docs/_sources/index.rst.txt
@@ -0,0 +1,25 @@
+.. VFH Charts documentation master file, created by
+   sphinx-quickstart on Tue Jul 16 16:26:10 2019.
+   You can adapt this file completely to your liking, but it should at least
+   contain the root `toctree` directive.
+
+Repeatable Information Charts Kit README
+==========================================
+
+This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib fig and ax object so that the figure can be further modified using matplotlib functions.
+
+.. toctree::
+   :maxdepth: 2
+   :caption: Contents:
+
+   code
+   auto_examples/index
+
+
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
diff --git a/docs/_static/alabaster.css b/docs/_static/alabaster.css
new file mode 100644
index 0000000..be65b13
--- /dev/null
+++ b/docs/_static/alabaster.css
@@ -0,0 +1,693 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+@import url("basic.css");
+
+/* -- page layout ----------------------------------------------------------- */
+
+body {
+    font-family: 'goudy old style', 'minion pro', 'bell mt', Georgia, 'Hiragino Mincho Pro', serif;
+    font-size: 17px;
+    background-color: #fff;
+    color: #000;
+    margin: 0;
+    padding: 0;
+}
+
+
+div.document {
+    width: 940px;
+    margin: 30px auto 0 auto;
+}
+
+div.documentwrapper {
+    float: left;
+    width: 100%;
+}
+
+div.bodywrapper {
+    margin: 0 0 0 220px;
+}
+
+div.sphinxsidebar {
+    width: 220px;
+    font-size: 14px;
+    line-height: 1.5;
+}
+
+hr {
+    border: 1px solid #B1B4B6;
+}
+
+div.body {
+    background-color: #fff;
+    color: #3E4349;
+    padding: 0 30px 0 30px;
+}
+
+div.body > .section {
+    text-align: left;
+}
+
+div.footer {
+    width: 940px;
+    margin: 20px auto 30px auto;
+    font-size: 14px;
+    color: #888;
+    text-align: right;
+}
+
+div.footer a {
+    color: #888;
+}
+
+p.caption {
+    font-family: inherit;
+    font-size: inherit;
+}
+
+
+div.relations {
+    display: none;
+}
+
+
+div.sphinxsidebar a {
+    color: #444;
+    text-decoration: none;
+    border-bottom: 1px dotted #999;
+}
+
+div.sphinxsidebar a:hover {
+    border-bottom: 1px solid #999;
+}
+
+div.sphinxsidebarwrapper {
+    padding: 18px 10px;
+}
+
+div.sphinxsidebarwrapper p.logo {
+    padding: 0;
+    margin: -10px 0 0 0px;
+    text-align: center;
+}
+
+div.sphinxsidebarwrapper h1.logo {
+    margin-top: -10px;
+    text-align: center;
+    margin-bottom: 5px;
+    text-align: left;
+}
+
+div.sphinxsidebarwrapper h1.logo-name {
+    margin-top: 0px;
+}
+
+div.sphinxsidebarwrapper p.blurb {
+    margin-top: 0;
+    font-style: normal;
+}
+
+div.sphinxsidebar h3,
+div.sphinxsidebar h4 {
+    font-family: 'Garamond', 'Georgia', serif;
+    color: #444;
+    font-size: 24px;
+    font-weight: normal;
+    margin: 0 0 5px 0;
+    padding: 0;
+}
+
+div.sphinxsidebar h4 {
+    font-size: 20px;
+}
+
+div.sphinxsidebar h3 a {
+    color: #444;
+}
+
+div.sphinxsidebar p.logo a,
+div.sphinxsidebar h3 a,
+div.sphinxsidebar p.logo a:hover,
+div.sphinxsidebar h3 a:hover {
+    border: none;
+}
+
+div.sphinxsidebar p {
+    color: #555;
+    margin: 10px 0;
+}
+
+div.sphinxsidebar ul {
+    margin: 10px 0;
+    padding: 0;
+    color: #000;
+}
+
+div.sphinxsidebar ul li.toctree-l1 > a {
+    font-size: 120%;
+}
+
+div.sphinxsidebar ul li.toctree-l2 > a {
+    font-size: 110%;
+}
+
+div.sphinxsidebar input {
+    border: 1px solid #CCC;
+    font-family: 'goudy old style', 'minion pro', 'bell mt', Georgia, 'Hiragino Mincho Pro', serif;
+    font-size: 1em;
+}
+
+div.sphinxsidebar hr {
+    border: none;
+    height: 1px;
+    color: #AAA;
+    background: #AAA;
+
+    text-align: left;
+    margin-left: 0;
+    width: 50%;
+}
+
+/* -- body styles ----------------------------------------------------------- */
+
+a {
+    color: #004B6B;
+    text-decoration: underline;
+}
+
+a:hover {
+    color: #6D4100;
+    text-decoration: underline;
+}
+
+div.body h1,
+div.body h2,
+div.body h3,
+div.body h4,
+div.body h5,
+div.body h6 {
+    font-family: 'Garamond', 'Georgia', serif;
+    font-weight: normal;
+    margin: 30px 0px 10px 0px;
+    padding: 0;
+}
+
+div.body h1 { margin-top: 0; padding-top: 0; font-size: 240%; }
+div.body h2 { font-size: 180%; }
+div.body h3 { font-size: 150%; }
+div.body h4 { font-size: 130%; }
+div.body h5 { font-size: 100%; }
+div.body h6 { font-size: 100%; }
+
+a.headerlink {
+    color: #DDD;
+    padding: 0 4px;
+    text-decoration: none;
+}
+
+a.headerlink:hover {
+    color: #444;
+    background: #EAEAEA;
+}
+
+div.body p, div.body dd, div.body li {
+    line-height: 1.4em;
+}
+
+div.admonition {
+    margin: 20px 0px;
+    padding: 10px 30px;
+    background-color: #EEE;
+    border: 1px solid #CCC;
+}
+
+div.admonition tt.xref, div.admonition code.xref, div.admonition a tt {
+    background-color: #FBFBFB;
+    border-bottom: 1px solid #fafafa;
+}
+
+div.admonition p.admonition-title {
+    font-family: 'Garamond', 'Georgia', serif;
+    font-weight: normal;
+    font-size: 24px;
+    margin: 0 0 10px 0;
+    padding: 0;
+    line-height: 1;
+}
+
+div.admonition p.last {
+    margin-bottom: 0;
+}
+
+div.highlight {
+    background-color: #fff;
+}
+
+dt:target, .highlight {
+    background: #FAF3E8;
+}
+
+div.warning {
+    background-color: #FCC;
+    border: 1px solid #FAA;
+}
+
+div.danger {
+    background-color: #FCC;
+    border: 1px solid #FAA;
+    -moz-box-shadow: 2px 2px 4px #D52C2C;
+    -webkit-box-shadow: 2px 2px 4px #D52C2C;
+    box-shadow: 2px 2px 4px #D52C2C;
+}
+
+div.error {
+    background-color: #FCC;
+    border: 1px solid #FAA;
+    -moz-box-shadow: 2px 2px 4px #D52C2C;
+    -webkit-box-shadow: 2px 2px 4px #D52C2C;
+    box-shadow: 2px 2px 4px #D52C2C;
+}
+
+div.caution {
+    background-color: #FCC;
+    border: 1px solid #FAA;
+}
+
+div.attention {
+    background-color: #FCC;
+    border: 1px solid #FAA;
+}
+
+div.important {
+    background-color: #EEE;
+    border: 1px solid #CCC;
+}
+
+div.note {
+    background-color: #EEE;
+    border: 1px solid #CCC;
+}
+
+div.tip {
+    background-color: #EEE;
+    border: 1px solid #CCC;
+}
+
+div.hint {
+    background-color: #EEE;
+    border: 1px solid #CCC;
+}
+
+div.seealso {
+    background-color: #EEE;
+    border: 1px solid #CCC;
+}
+
+div.topic {
+    background-color: #EEE;
+}
+
+p.admonition-title {
+    display: inline;
+}
+
+p.admonition-title:after {
+    content: ":";
+}
+
+pre, tt, code {
+    font-family: 'Consolas', 'Menlo', 'Deja Vu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
+    font-size: 0.9em;
+}
+
+.hll {
+    background-color: #FFC;
+    margin: 0 -12px;
+    padding: 0 12px;
+    display: block;
+}
+
+img.screenshot {
+}
+
+tt.descname, tt.descclassname, code.descname, code.descclassname {
+    font-size: 0.95em;
+}
+
+tt.descname, code.descname {
+    padding-right: 0.08em;
+}
+
+img.screenshot {
+    -moz-box-shadow: 2px 2px 4px #EEE;
+    -webkit-box-shadow: 2px 2px 4px #EEE;
+    box-shadow: 2px 2px 4px #EEE;
+}
+
+table.docutils {
+    border: 1px solid #888;
+    -moz-box-shadow: 2px 2px 4px #EEE;
+    -webkit-box-shadow: 2px 2px 4px #EEE;
+    box-shadow: 2px 2px 4px #EEE;
+}
+
+table.docutils td, table.docutils th {
+    border: 1px solid #888;
+    padding: 0.25em 0.7em;
+}
+
+table.field-list, table.footnote {
+    border: none;
+    -moz-box-shadow: none;
+    -webkit-box-shadow: none;
+    box-shadow: none;
+}
+
+table.footnote {
+    margin: 15px 0;
+    width: 100%;
+    border: 1px solid #EEE;
+    background: #FDFDFD;
+    font-size: 0.9em;
+}
+
+table.footnote + table.footnote {
+    margin-top: -15px;
+    border-top: none;
+}
+
+table.field-list th {
+    padding: 0 0.8em 0 0;
+}
+
+table.field-list td {
+    padding: 0;
+}
+
+table.field-list p {
+    margin-bottom: 0.8em;
+}
+
+/* Cloned from
+ * https://github.com/sphinx-doc/sphinx/commit/ef60dbfce09286b20b7385333d63a60321784e68
+ */
+.field-name {
+    -moz-hyphens: manual;
+    -ms-hyphens: manual;
+    -webkit-hyphens: manual;
+    hyphens: manual;
+}
+
+table.footnote td.label {
+    width: .1px;
+    padding: 0.3em 0 0.3em 0.5em;
+}
+
+table.footnote td {
+    padding: 0.3em 0.5em;
+}
+
+dl {
+    margin: 0;
+    padding: 0;
+}
+
+dl dd {
+    margin-left: 30px;
+}
+
+blockquote {
+    margin: 0 0 0 30px;
+    padding: 0;
+}
+
+ul, ol {
+    /* Matches the 30px from the narrow-screen "li > ul" selector below */
+    margin: 10px 0 10px 30px;
+    padding: 0;
+}
+
+pre {
+    background: #EEE;
+    padding: 7px 30px;
+    margin: 15px 0px;
+    line-height: 1.3em;
+}
+
+div.viewcode-block:target {
+    background: #ffd;
+}
+
+dl pre, blockquote pre, li pre {
+    margin-left: 0;
+    padding-left: 30px;
+}
+
+tt, code {
+    background-color: #ecf0f3;
+    color: #222;
+    /* padding: 1px 2px; */
+}
+
+tt.xref, code.xref, a tt {
+    background-color: #FBFBFB;
+    border-bottom: 1px solid #fff;
+}
+
+a.reference {
+    text-decoration: none;
+    border-bottom: 1px dotted #004B6B;
+}
+
+/* Don't put an underline on images */
+a.image-reference, a.image-reference:hover {
+    border-bottom: none;
+}
+
+a.reference:hover {
+    border-bottom: 1px solid #6D4100;
+}
+
+a.footnote-reference {
+    text-decoration: none;
+    font-size: 0.7em;
+    vertical-align: top;
+    border-bottom: 1px dotted #004B6B;
+}
+
+a.footnote-reference:hover {
+    border-bottom: 1px solid #6D4100;
+}
+
+a:hover tt, a:hover code {
+    background: #EEE;
+}
+
+
+@media screen and (max-width: 870px) {
+
+    div.sphinxsidebar {
+    	display: none;
+    }
+
+    div.document {
+       width: 100%;
+
+    }
+
+    div.documentwrapper {
+    	margin-left: 0;
+    	margin-top: 0;
+    	margin-right: 0;
+    	margin-bottom: 0;
+    }
+
+    div.bodywrapper {
+    	margin-top: 0;
+    	margin-right: 0;
+    	margin-bottom: 0;
+    	margin-left: 0;
+    }
+
+    ul {
+    	margin-left: 0;
+    }
+
+	li > ul {
+        /* Matches the 30px from the "ul, ol" selector above */
+		margin-left: 30px;
+	}
+
+    .document {
+    	width: auto;
+    }
+
+    .footer {
+    	width: auto;
+    }
+
+    .bodywrapper {
+    	margin: 0;
+    }
+
+    .footer {
+    	width: auto;
+    }
+
+    .github {
+        display: none;
+    }
+
+
+
+}
+
+
+
+@media screen and (max-width: 875px) {
+
+    body {
+        margin: 0;
+        padding: 20px 30px;
+    }
+
+    div.documentwrapper {
+        float: none;
+        background: #fff;
+    }
+
+    div.sphinxsidebar {
+        display: block;
+        float: none;
+        width: 102.5%;
+        margin: 50px -30px -20px -30px;
+        padding: 10px 20px;
+        background: #333;
+        color: #FFF;
+    }
+
+    div.sphinxsidebar h3, div.sphinxsidebar h4, div.sphinxsidebar p,
+    div.sphinxsidebar h3 a {
+        color: #fff;
+    }
+
+    div.sphinxsidebar a {
+        color: #AAA;
+    }
+
+    div.sphinxsidebar p.logo {
+        display: none;
+    }
+
+    div.document {
+        width: 100%;
+        margin: 0;
+    }
+
+    div.footer {
+        display: none;
+    }
+
+    div.bodywrapper {
+        margin: 0;
+    }
+
+    div.body {
+        min-height: 0;
+        padding: 0;
+    }
+
+    .rtd_doc_footer {
+        display: none;
+    }
+
+    .document {
+        width: auto;
+    }
+
+    .footer {
+        width: auto;
+    }
+
+    .footer {
+        width: auto;
+    }
+
+    .github {
+        display: none;
+    }
+}
+
+
+/* misc. */
+
+.revsys-inline {
+    display: none!important;
+}
+
+/* Make nested-list/multi-paragraph items look better in Releases changelog
+ * pages. Without this, docutils' magical list fuckery causes inconsistent
+ * formatting between different release sub-lists.
+ */
+div#changelog > div.section > ul > li > p:only-child {
+    margin-bottom: 0;
+}
+
+/* Hide fugly table cell borders in ..bibliography:: directive output */
+table.docutils.citation, table.docutils.citation td, table.docutils.citation th {
+  border: none;
+  /* Below needed in some edge cases; if not applied, bottom shadows appear */
+  -moz-box-shadow: none;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
\ No newline at end of file
diff --git a/docs/_static/basic.css b/docs/_static/basic.css
new file mode 100644
index 0000000..c41d718
--- /dev/null
+++ b/docs/_static/basic.css
@@ -0,0 +1,763 @@
+/*
+ * basic.css
+ * ~~~~~~~~~
+ *
+ * Sphinx stylesheet -- basic theme.
+ *
+ * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/* -- main layout ----------------------------------------------------------- */
+
+div.clearer {
+    clear: both;
+}
+
+/* -- relbar ---------------------------------------------------------------- */
+
+div.related {
+    width: 100%;
+    font-size: 90%;
+}
+
+div.related h3 {
+    display: none;
+}
+
+div.related ul {
+    margin: 0;
+    padding: 0 0 0 10px;
+    list-style: none;
+}
+
+div.related li {
+    display: inline;
+}
+
+div.related li.right {
+    float: right;
+    margin-right: 5px;
+}
+
+/* -- sidebar --------------------------------------------------------------- */
+
+div.sphinxsidebarwrapper {
+    padding: 10px 5px 0 10px;
+}
+
+div.sphinxsidebar {
+    float: left;
+    width: 230px;
+    margin-left: -100%;
+    font-size: 90%;
+    word-wrap: break-word;
+    overflow-wrap : break-word;
+}
+
+div.sphinxsidebar ul {
+    list-style: none;
+}
+
+div.sphinxsidebar ul ul,
+div.sphinxsidebar ul.want-points {
+    margin-left: 20px;
+    list-style: square;
+}
+
+div.sphinxsidebar ul ul {
+    margin-top: 0;
+    margin-bottom: 0;
+}
+
+div.sphinxsidebar form {
+    margin-top: 10px;
+}
+
+div.sphinxsidebar input {
+    border: 1px solid #98dbcc;
+    font-family: sans-serif;
+    font-size: 1em;
+}
+
+div.sphinxsidebar #searchbox form.search {
+    overflow: hidden;
+}
+
+div.sphinxsidebar #searchbox input[type="text"] {
+    float: left;
+    width: 80%;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+div.sphinxsidebar #searchbox input[type="submit"] {
+    float: left;
+    width: 20%;
+    border-left: none;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+
+img {
+    border: 0;
+    max-width: 100%;
+}
+
+/* -- search page ----------------------------------------------------------- */
+
+ul.search {
+    margin: 10px 0 0 20px;
+    padding: 0;
+}
+
+ul.search li {
+    padding: 5px 0 5px 20px;
+    background-image: url(file.png);
+    background-repeat: no-repeat;
+    background-position: 0 7px;
+}
+
+ul.search li a {
+    font-weight: bold;
+}
+
+ul.search li div.context {
+    color: #888;
+    margin: 2px 0 0 30px;
+    text-align: left;
+}
+
+ul.keywordmatches li.goodmatch a {
+    font-weight: bold;
+}
+
+/* -- index page ------------------------------------------------------------ */
+
+table.contentstable {
+    width: 90%;
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.contentstable p.biglink {
+    line-height: 150%;
+}
+
+a.biglink {
+    font-size: 1.3em;
+}
+
+span.linkdescr {
+    font-style: italic;
+    padding-top: 5px;
+    font-size: 90%;
+}
+
+/* -- general index --------------------------------------------------------- */
+
+table.indextable {
+    width: 100%;
+}
+
+table.indextable td {
+    text-align: left;
+    vertical-align: top;
+}
+
+table.indextable ul {
+    margin-top: 0;
+    margin-bottom: 0;
+    list-style-type: none;
+}
+
+table.indextable > tbody > tr > td > ul {
+    padding-left: 0em;
+}
+
+table.indextable tr.pcap {
+    height: 10px;
+}
+
+table.indextable tr.cap {
+    margin-top: 10px;
+    background-color: #f2f2f2;
+}
+
+img.toggler {
+    margin-right: 3px;
+    margin-top: 3px;
+    cursor: pointer;
+}
+
+div.modindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+div.genindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+/* -- domain module index --------------------------------------------------- */
+
+table.modindextable td {
+    padding: 2px;
+    border-collapse: collapse;
+}
+
+/* -- general body styles --------------------------------------------------- */
+
+div.body {
+    min-width: 450px;
+    max-width: 800px;
+}
+
+div.body p, div.body dd, div.body li, div.body blockquote {
+    -moz-hyphens: auto;
+    -ms-hyphens: auto;
+    -webkit-hyphens: auto;
+    hyphens: auto;
+}
+
+a.headerlink {
+    visibility: hidden;
+}
+
+a.brackets:before,
+span.brackets > a:before{
+    content: "[";
+}
+
+a.brackets:after,
+span.brackets > a:after {
+    content: "]";
+}
+
+h1:hover > a.headerlink,
+h2:hover > a.headerlink,
+h3:hover > a.headerlink,
+h4:hover > a.headerlink,
+h5:hover > a.headerlink,
+h6:hover > a.headerlink,
+dt:hover > a.headerlink,
+caption:hover > a.headerlink,
+p.caption:hover > a.headerlink,
+div.code-block-caption:hover > a.headerlink {
+    visibility: visible;
+}
+
+div.body p.caption {
+    text-align: inherit;
+}
+
+div.body td {
+    text-align: left;
+}
+
+.first {
+    margin-top: 0 !important;
+}
+
+p.rubric {
+    margin-top: 30px;
+    font-weight: bold;
+}
+
+img.align-left, .figure.align-left, object.align-left {
+    clear: left;
+    float: left;
+    margin-right: 1em;
+}
+
+img.align-right, .figure.align-right, object.align-right {
+    clear: right;
+    float: right;
+    margin-left: 1em;
+}
+
+img.align-center, .figure.align-center, object.align-center {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+img.align-default, .figure.align-default {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+.align-left {
+    text-align: left;
+}
+
+.align-center {
+    text-align: center;
+}
+
+.align-default {
+    text-align: center;
+}
+
+.align-right {
+    text-align: right;
+}
+
+/* -- sidebars -------------------------------------------------------------- */
+
+div.sidebar {
+    margin: 0 0 0.5em 1em;
+    border: 1px solid #ddb;
+    padding: 7px 7px 0 7px;
+    background-color: #ffe;
+    width: 40%;
+    float: right;
+}
+
+p.sidebar-title {
+    font-weight: bold;
+}
+
+/* -- topics ---------------------------------------------------------------- */
+
+div.topic {
+    border: 1px solid #ccc;
+    padding: 7px 7px 0 7px;
+    margin: 10px 0 10px 0;
+}
+
+p.topic-title {
+    font-size: 1.1em;
+    font-weight: bold;
+    margin-top: 10px;
+}
+
+/* -- admonitions ----------------------------------------------------------- */
+
+div.admonition {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    padding: 7px;
+}
+
+div.admonition dt {
+    font-weight: bold;
+}
+
+div.admonition dl {
+    margin-bottom: 0;
+}
+
+p.admonition-title {
+    margin: 0px 10px 5px 0px;
+    font-weight: bold;
+}
+
+div.body p.centered {
+    text-align: center;
+    margin-top: 25px;
+}
+
+/* -- tables ---------------------------------------------------------------- */
+
+table.docutils {
+    border: 0;
+    border-collapse: collapse;
+}
+
+table.align-center {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.align-default {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table caption span.caption-number {
+    font-style: italic;
+}
+
+table caption span.caption-text {
+}
+
+table.docutils td, table.docutils th {
+    padding: 1px 8px 1px 5px;
+    border-top: 0;
+    border-left: 0;
+    border-right: 0;
+    border-bottom: 1px solid #aaa;
+}
+
+table.footnote td, table.footnote th {
+    border: 0 !important;
+}
+
+th {
+    text-align: left;
+    padding-right: 5px;
+}
+
+table.citation {
+    border-left: solid 1px gray;
+    margin-left: 1px;
+}
+
+table.citation td {
+    border-bottom: none;
+}
+
+th > p:first-child,
+td > p:first-child {
+    margin-top: 0px;
+}
+
+th > p:last-child,
+td > p:last-child {
+    margin-bottom: 0px;
+}
+
+/* -- figures --------------------------------------------------------------- */
+
+div.figure {
+    margin: 0.5em;
+    padding: 0.5em;
+}
+
+div.figure p.caption {
+    padding: 0.3em;
+}
+
+div.figure p.caption span.caption-number {
+    font-style: italic;
+}
+
+div.figure p.caption span.caption-text {
+}
+
+/* -- field list styles ----------------------------------------------------- */
+
+table.field-list td, table.field-list th {
+    border: 0 !important;
+}
+
+.field-list ul {
+    margin: 0;
+    padding-left: 1em;
+}
+
+.field-list p {
+    margin: 0;
+}
+
+.field-name {
+    -moz-hyphens: manual;
+    -ms-hyphens: manual;
+    -webkit-hyphens: manual;
+    hyphens: manual;
+}
+
+/* -- hlist styles ---------------------------------------------------------- */
+
+table.hlist td {
+    vertical-align: top;
+}
+
+
+/* -- other body styles ----------------------------------------------------- */
+
+ol.arabic {
+    list-style: decimal;
+}
+
+ol.loweralpha {
+    list-style: lower-alpha;
+}
+
+ol.upperalpha {
+    list-style: upper-alpha;
+}
+
+ol.lowerroman {
+    list-style: lower-roman;
+}
+
+ol.upperroman {
+    list-style: upper-roman;
+}
+
+li > p:first-child {
+    margin-top: 0px;
+}
+
+li > p:last-child {
+    margin-bottom: 0px;
+}
+
+dl.footnote > dt,
+dl.citation > dt {
+    float: left;
+}
+
+dl.footnote > dd,
+dl.citation > dd {
+    margin-bottom: 0em;
+}
+
+dl.footnote > dd:after,
+dl.citation > dd:after {
+    content: "";
+    clear: both;
+}
+
+dl.field-list {
+    display: flex;
+    flex-wrap: wrap;
+}
+
+dl.field-list > dt {
+    flex-basis: 20%;
+    font-weight: bold;
+    word-break: break-word;
+}
+
+dl.field-list > dt:after {
+    content: ":";
+}
+
+dl.field-list > dd {
+    flex-basis: 70%;
+    padding-left: 1em;
+    margin-left: 0em;
+    margin-bottom: 0em;
+}
+
+dl {
+    margin-bottom: 15px;
+}
+
+dd > p:first-child {
+    margin-top: 0px;
+}
+
+dd ul, dd table {
+    margin-bottom: 10px;
+}
+
+dd {
+    margin-top: 3px;
+    margin-bottom: 10px;
+    margin-left: 30px;
+}
+
+dt:target, span.highlighted {
+    background-color: #fbe54e;
+}
+
+rect.highlighted {
+    fill: #fbe54e;
+}
+
+dl.glossary dt {
+    font-weight: bold;
+    font-size: 1.1em;
+}
+
+.optional {
+    font-size: 1.3em;
+}
+
+.sig-paren {
+    font-size: larger;
+}
+
+.versionmodified {
+    font-style: italic;
+}
+
+.system-message {
+    background-color: #fda;
+    padding: 5px;
+    border: 3px solid red;
+}
+
+.footnote:target  {
+    background-color: #ffa;
+}
+
+.line-block {
+    display: block;
+    margin-top: 1em;
+    margin-bottom: 1em;
+}
+
+.line-block .line-block {
+    margin-top: 0;
+    margin-bottom: 0;
+    margin-left: 1.5em;
+}
+
+.guilabel, .menuselection {
+    font-family: sans-serif;
+}
+
+.accelerator {
+    text-decoration: underline;
+}
+
+.classifier {
+    font-style: oblique;
+}
+
+.classifier:before {
+    font-style: normal;
+    margin: 0.5em;
+    content: ":";
+}
+
+abbr, acronym {
+    border-bottom: dotted 1px;
+    cursor: help;
+}
+
+/* -- code displays --------------------------------------------------------- */
+
+pre {
+    overflow: auto;
+    overflow-y: hidden;  /* fixes display issues on Chrome browsers */
+}
+
+span.pre {
+    -moz-hyphens: none;
+    -ms-hyphens: none;
+    -webkit-hyphens: none;
+    hyphens: none;
+}
+
+td.linenos pre {
+    padding: 5px 0px;
+    border: 0;
+    background-color: transparent;
+    color: #aaa;
+}
+
+table.highlighttable {
+    margin-left: 0.5em;
+}
+
+table.highlighttable td {
+    padding: 0 0.5em 0 0.5em;
+}
+
+div.code-block-caption {
+    padding: 2px 5px;
+    font-size: small;
+}
+
+div.code-block-caption code {
+    background-color: transparent;
+}
+
+div.code-block-caption + div > div.highlight > pre {
+    margin-top: 0;
+}
+
+div.code-block-caption span.caption-number {
+    padding: 0.1em 0.3em;
+    font-style: italic;
+}
+
+div.code-block-caption span.caption-text {
+}
+
+div.literal-block-wrapper {
+    padding: 1em 1em 0;
+}
+
+div.literal-block-wrapper div.highlight {
+    margin: 0;
+}
+
+code.descname {
+    background-color: transparent;
+    font-weight: bold;
+    font-size: 1.2em;
+}
+
+code.descclassname {
+    background-color: transparent;
+}
+
+code.xref, a code {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
+    background-color: transparent;
+}
+
+.viewcode-link {
+    float: right;
+}
+
+.viewcode-back {
+    float: right;
+    font-family: sans-serif;
+}
+
+div.viewcode-block:target {
+    margin: -1px -10px;
+    padding: 0 10px;
+}
+
+/* -- math display ---------------------------------------------------------- */
+
+img.math {
+    vertical-align: middle;
+}
+
+div.body div.math p {
+    text-align: center;
+}
+
+span.eqno {
+    float: right;
+}
+
+span.eqno a.headerlink {
+    position: relative;
+    left: 0px;
+    z-index: 1;
+}
+
+div.math:hover a.headerlink {
+    visibility: visible;
+}
+
+/* -- printout stylesheet --------------------------------------------------- */
+
+@media print {
+    div.document,
+    div.documentwrapper,
+    div.bodywrapper {
+        margin: 0 !important;
+        width: 100%;
+    }
+
+    div.sphinxsidebar,
+    div.related,
+    div.footer,
+    #top-link {
+        display: none;
+    }
+}
\ No newline at end of file
diff --git a/docs/_static/broken_example.png b/docs/_static/broken_example.png
new file mode 100644
index 0000000..4fea24e
Binary files /dev/null and b/docs/_static/broken_example.png differ
diff --git a/docs/_static/custom.css b/docs/_static/custom.css
new file mode 100644
index 0000000..2a924f1
--- /dev/null
+++ b/docs/_static/custom.css
@@ -0,0 +1 @@
+/* This file intentionally left blank. */
diff --git a/docs/_static/doctools.js b/docs/_static/doctools.js
new file mode 100644
index 0000000..b33f87f
--- /dev/null
+++ b/docs/_static/doctools.js
@@ -0,0 +1,314 @@
+/*
+ * doctools.js
+ * ~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for all documentation.
+ *
+ * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/**
+ * select a different prefix for underscore
+ */
+$u = _.noConflict();
+
+/**
+ * make the code below compatible with browsers without
+ * an installed firebug like debugger
+if (!window.console || !console.firebug) {
+  var names = ["log", "debug", "info", "warn", "error", "assert", "dir",
+    "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace",
+    "profile", "profileEnd"];
+  window.console = {};
+  for (var i = 0; i < names.length; ++i)
+    window.console[names[i]] = function() {};
+}
+ */
+
+/**
+ * small helper function to urldecode strings
+ */
+jQuery.urldecode = function(x) {
+  return decodeURIComponent(x).replace(/\+/g, ' ');
+};
+
+/**
+ * small helper function to urlencode strings
+ */
+jQuery.urlencode = encodeURIComponent;
+
+/**
+ * This function returns the parsed url parameters of the
+ * current request. Multiple values per key are supported,
+ * it will always return arrays of strings for the value parts.
+ */
+jQuery.getQueryParameters = function(s) {
+  if (typeof s === 'undefined')
+    s = document.location.search;
+  var parts = s.substr(s.indexOf('?') + 1).split('&');
+  var result = {};
+  for (var i = 0; i < parts.length; i++) {
+    var tmp = parts[i].split('=', 2);
+    var key = jQuery.urldecode(tmp[0]);
+    var value = jQuery.urldecode(tmp[1]);
+    if (key in result)
+      result[key].push(value);
+    else
+      result[key] = [value];
+  }
+  return result;
+};
+
+/**
+ * highlight a given string on a jquery object by wrapping it in
+ * span elements with the given class name.
+ */
+jQuery.fn.highlightText = function(text, className) {
+  function highlight(node, addItems) {
+    if (node.nodeType === 3) {
+      var val = node.nodeValue;
+      var pos = val.toLowerCase().indexOf(text);
+      if (pos >= 0 &&
+          !jQuery(node.parentNode).hasClass(className) &&
+          !jQuery(node.parentNode).hasClass("nohighlight")) {
+        var span;
+        var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
+        if (isInSVG) {
+          span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+        } else {
+          span = document.createElement("span");
+          span.className = className;
+        }
+        span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+        node.parentNode.insertBefore(span, node.parentNode.insertBefore(
+          document.createTextNode(val.substr(pos + text.length)),
+          node.nextSibling));
+        node.nodeValue = val.substr(0, pos);
+        if (isInSVG) {
+          var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
+          var bbox = node.parentElement.getBBox();
+          rect.x.baseVal.value = bbox.x;
+          rect.y.baseVal.value = bbox.y;
+          rect.width.baseVal.value = bbox.width;
+          rect.height.baseVal.value = bbox.height;
+          rect.setAttribute('class', className);
+          addItems.push({
+              "parent": node.parentNode,
+              "target": rect});
+        }
+      }
+    }
+    else if (!jQuery(node).is("button, select, textarea")) {
+      jQuery.each(node.childNodes, function() {
+        highlight(this, addItems);
+      });
+    }
+  }
+  var addItems = [];
+  var result = this.each(function() {
+    highlight(this, addItems);
+  });
+  for (var i = 0; i < addItems.length; ++i) {
+    jQuery(addItems[i].parent).before(addItems[i].target);
+  }
+  return result;
+};
+
+/*
+ * backward compatibility for jQuery.browser
+ * This will be supported until firefox bug is fixed.
+ */
+if (!jQuery.browser) {
+  jQuery.uaMatch = function(ua) {
+    ua = ua.toLowerCase();
+
+    var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
+      /(webkit)[ \/]([\w.]+)/.exec(ua) ||
+      /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
+      /(msie) ([\w.]+)/.exec(ua) ||
+      ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
+      [];
+
+    return {
+      browser: match[ 1 ] || "",
+      version: match[ 2 ] || "0"
+    };
+  };
+  jQuery.browser = {};
+  jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
+}
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+var Documentation = {
+
+  init : function() {
+    this.fixFirefoxAnchorBug();
+    this.highlightSearchWords();
+    this.initIndexTable();
+    if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) {
+      this.initOnKeyListeners();
+    }
+  },
+
+  /**
+   * i18n support
+   */
+  TRANSLATIONS : {},
+  PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; },
+  LOCALE : 'unknown',
+
+  // gettext and ngettext don't access this so that the functions
+  // can safely bound to a different name (_ = Documentation.gettext)
+  gettext : function(string) {
+    var translated = Documentation.TRANSLATIONS[string];
+    if (typeof translated === 'undefined')
+      return string;
+    return (typeof translated === 'string') ? translated : translated[0];
+  },
+
+  ngettext : function(singular, plural, n) {
+    var translated = Documentation.TRANSLATIONS[singular];
+    if (typeof translated === 'undefined')
+      return (n == 1) ? singular : plural;
+    return translated[Documentation.PLURALEXPR(n)];
+  },
+
+  addTranslations : function(catalog) {
+    for (var key in catalog.messages)
+      this.TRANSLATIONS[key] = catalog.messages[key];
+    this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')');
+    this.LOCALE = catalog.locale;
+  },
+
+  /**
+   * add context elements like header anchor links
+   */
+  addContextElements : function() {
+    $('div[id] > :header:first').each(function() {
+      $('<a class="headerlink">\u00B6</a>').
+      attr('href', '#' + this.id).
+      attr('title', _('Permalink to this headline')).
+      appendTo(this);
+    });
+    $('dt[id]').each(function() {
+      $('<a class="headerlink">\u00B6</a>').
+      attr('href', '#' + this.id).
+      attr('title', _('Permalink to this definition')).
+      appendTo(this);
+    });
+  },
+
+  /**
+   * workaround a firefox stupidity
+   * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075
+   */
+  fixFirefoxAnchorBug : function() {
+    if (document.location.hash && $.browser.mozilla)
+      window.setTimeout(function() {
+        document.location.href += '';
+      }, 10);
+  },
+
+  /**
+   * highlight the search words provided in the url in the text
+   */
+  highlightSearchWords : function() {
+    var params = $.getQueryParameters();
+    var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : [];
+    if (terms.length) {
+      var body = $('div.body');
+      if (!body.length) {
+        body = $('body');
+      }
+      window.setTimeout(function() {
+        $.each(terms, function() {
+          body.highlightText(this.toLowerCase(), 'highlighted');
+        });
+      }, 10);
+      $('<p class="highlight-link"><a href="javascript:Documentation.' +
+        'hideSearchWords()">' + _('Hide Search Matches') + '</a></p>')
+          .appendTo($('#searchbox'));
+    }
+  },
+
+  /**
+   * init the domain index toggle buttons
+   */
+  initIndexTable : function() {
+    var togglers = $('img.toggler').click(function() {
+      var src = $(this).attr('src');
+      var idnum = $(this).attr('id').substr(7);
+      $('tr.cg-' + idnum).toggle();
+      if (src.substr(-9) === 'minus.png')
+        $(this).attr('src', src.substr(0, src.length-9) + 'plus.png');
+      else
+        $(this).attr('src', src.substr(0, src.length-8) + 'minus.png');
+    }).css('display', '');
+    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) {
+        togglers.click();
+    }
+  },
+
+  /**
+   * helper function to hide the search marks again
+   */
+  hideSearchWords : function() {
+    $('#searchbox .highlight-link').fadeOut(300);
+    $('span.highlighted').removeClass('highlighted');
+  },
+
+  /**
+   * make the url absolute
+   */
+  makeURL : function(relativeURL) {
+    return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL;
+  },
+
+  /**
+   * get the current relative url
+   */
+  getCurrentURL : function() {
+    var path = document.location.pathname;
+    var parts = path.split(/\//);
+    $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() {
+      if (this === '..')
+        parts.pop();
+    });
+    var url = parts.join('/');
+    return path.substring(url.lastIndexOf('/') + 1, path.length - 1);
+  },
+
+  initOnKeyListeners: function() {
+    $(document).keyup(function(event) {
+      var activeElementType = document.activeElement.tagName;
+      // don't navigate when in search box or textarea
+      if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT') {
+        switch (event.keyCode) {
+          case 37: // left
+            var prevHref = $('link[rel="prev"]').prop('href');
+            if (prevHref) {
+              window.location.href = prevHref;
+              return false;
+            }
+          case 39: // right
+            var nextHref = $('link[rel="next"]').prop('href');
+            if (nextHref) {
+              window.location.href = nextHref;
+              return false;
+            }
+        }
+      }
+    });
+  }
+};
+
+// quick alias for translations
+_ = Documentation.gettext;
+
+$(document).ready(function() {
+  Documentation.init();
+});
diff --git a/docs/_static/documentation_options.js b/docs/_static/documentation_options.js
new file mode 100644
index 0000000..b810979
--- /dev/null
+++ b/docs/_static/documentation_options.js
@@ -0,0 +1,10 @@
+var DOCUMENTATION_OPTIONS = {
+    URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
+    VERSION: '2019-07-16',
+    LANGUAGE: 'None',
+    COLLAPSE_INDEX: false,
+    FILE_SUFFIX: '.html',
+    HAS_SOURCE: true,
+    SOURCELINK_SUFFIX: '.txt',
+    NAVIGATION_WITH_KEYS: false
+};
\ No newline at end of file
diff --git a/docs/_static/file.png b/docs/_static/file.png
new file mode 100644
index 0000000..a858a41
Binary files /dev/null and b/docs/_static/file.png differ
diff --git a/docs/_static/gallery.css b/docs/_static/gallery.css
new file mode 100644
index 0000000..cc43d0e
--- /dev/null
+++ b/docs/_static/gallery.css
@@ -0,0 +1,192 @@
+/*
+Sphinx-Gallery has compatible CSS to fix default sphinx themes
+Tested for Sphinx 1.3.1 for all themes: default, alabaster, sphinxdoc,
+scrolls, agogo, traditional, nature, haiku, pyramid
+Tested for Read the Docs theme 0.1.7 */
+.sphx-glr-thumbcontainer {
+  background: #fff;
+  border: solid #fff 1px;
+  -moz-border-radius: 5px;
+  -webkit-border-radius: 5px;
+  border-radius: 5px;
+  box-shadow: none;
+  float: left;
+  margin: 5px;
+  min-height: 230px;
+  padding-top: 5px;
+  position: relative;
+}
+.sphx-glr-thumbcontainer:hover {
+  border: solid #b4ddfc 1px;
+  box-shadow: 0 0 15px rgba(142, 176, 202, 0.5);
+}
+.sphx-glr-thumbcontainer a.internal {
+  bottom: 0;
+  display: block;
+  left: 0;
+  padding: 150px 10px 0;
+  position: absolute;
+  right: 0;
+  top: 0;
+}
+/* Next one is to avoid Sphinx traditional theme to cover all the
+thumbnail with its default link Background color */
+.sphx-glr-thumbcontainer a.internal:hover {
+  background-color: transparent;
+}
+
+.sphx-glr-thumbcontainer p {
+  margin: 0 0 .1em 0;
+}
+.sphx-glr-thumbcontainer .figure {
+  margin: 10px;
+  width: 160px;
+}
+.sphx-glr-thumbcontainer img {
+  display: inline;
+  max-height: 160px;
+  width: 160px;
+}
+.sphx-glr-thumbcontainer[tooltip]:hover:after {
+  background: rgba(0, 0, 0, 0.8);
+  -webkit-border-radius: 5px;
+  -moz-border-radius: 5px;
+  border-radius: 5px;
+  color: #fff;
+  content: attr(tooltip);
+  left: 95%;
+  padding: 5px 15px;
+  position: absolute;
+  z-index: 98;
+  width: 220px;
+  bottom: 52%;
+}
+.sphx-glr-thumbcontainer[tooltip]:hover:before {
+  border: solid;
+  border-color: #333 transparent;
+  border-width: 18px 0 0 20px;
+  bottom: 58%;
+  content: '';
+  left: 85%;
+  position: absolute;
+  z-index: 99;
+}
+
+.highlight-pytb pre {
+  background-color: #ffe4e4;
+  border: 1px solid #f66;
+  margin-top: 10px;
+  padding: 7px;
+}
+
+.sphx-glr-script-out {
+  color: #888;
+  margin: 0;
+}
+p.sphx-glr-script-out {
+    padding-top: 0.7em;
+}
+.sphx-glr-script-out .highlight {
+  background-color: transparent;
+  margin-left: 2.5em;
+  margin-top: -2.1em;
+}
+.sphx-glr-script-out .highlight pre {
+  background-color: #fafae2;
+  border: 0;
+  max-height: 30em;
+  overflow: auto;
+  padding-left: 1ex;
+  margin: 0px;
+  word-break: break-word;
+}
+.sphx-glr-script-out + p {
+  margin-top: 1.8em;
+}
+blockquote.sphx-glr-script-out {
+  margin-left: 0pt;
+}
+
+div.sphx-glr-footer {
+    text-align: center;
+}
+
+div.binder-badge {
+  margin: 1em auto;
+  vertical-align: middle;
+}
+
+div.sphx-glr-download {
+  margin: 1em auto;
+  vertical-align: middle;
+}
+
+div.sphx-glr-download a {
+  background-color: #ffc;
+  background-image: linear-gradient(to bottom, #FFC, #d5d57e);
+  border-radius: 4px;
+  border: 1px solid #c2c22d;
+  color: #000;
+  display: inline-block;
+  font-weight: bold;
+  padding: 1ex;
+  text-align: center;
+}
+
+div.sphx-glr-download code.download {
+  display: inline-block;
+  white-space: normal;
+  word-break: normal;
+  overflow-wrap: break-word;
+  /* border and background are given by the enclosing 'a' */
+  border: none;
+  background: none;
+}
+
+div.sphx-glr-download a:hover {
+  box-shadow: inset 0 1px 0 rgba(255,255,255,.1), 0 1px 5px rgba(0,0,0,.25);
+  text-decoration: none;
+  background-image: none;
+  background-color: #d5d57e;
+}
+
+.sphx-glr-example-title > :target::before {
+  display: block;
+  content: "";
+  margin-top: -50px;
+  height: 50px;
+  visibility: hidden;
+}
+
+ul.sphx-glr-horizontal {
+  list-style: none;
+  padding: 0;
+}
+ul.sphx-glr-horizontal li {
+  display: inline;
+}
+ul.sphx-glr-horizontal img {
+  height: auto !important;
+}
+
+.sphx-glr-single-img {
+  margin: auto;
+  display: block;
+  max-width: 100%;
+}
+
+.sphx-glr-multi-img {
+  max-width: 42%;
+  height: auto;
+}
+
+p.sphx-glr-signature a.reference.external {
+  -moz-border-radius: 5px;
+  -webkit-border-radius: 5px;
+  border-radius: 5px;
+  padding: 3px;
+  font-size: 75%;
+  text-align: right;
+  margin-left: auto;
+  display: table;
+}
diff --git a/docs/_static/jquery-3.2.1.js b/docs/_static/jquery-3.2.1.js
new file mode 100644
index 0000000..d2d8ca4
--- /dev/null
+++ b/docs/_static/jquery-3.2.1.js
@@ -0,0 +1,10253 @@
+/*!
+ * jQuery JavaScript Library v3.2.1
+ * https://jquery.com/
+ *
+ * Includes Sizzle.js
+ * https://sizzlejs.com/
+ *
+ * Copyright JS Foundation and other contributors
+ * Released under the MIT license
+ * https://jquery.org/license
+ *
+ * Date: 2017-03-20T18:59Z
+ */
+( function( global, factory ) {
+
+	"use strict";
+
+	if ( typeof module === "object" && typeof module.exports === "object" ) {
+
+		// For CommonJS and CommonJS-like environments where a proper `window`
+		// is present, execute the factory and get jQuery.
+		// For environments that do not have a `window` with a `document`
+		// (such as Node.js), expose a factory as module.exports.
+		// This accentuates the need for the creation of a real `window`.
+		// e.g. var jQuery = require("jquery")(window);
+		// See ticket #14549 for more info.
+		module.exports = global.document ?
+			factory( global, true ) :
+			function( w ) {
+				if ( !w.document ) {
+					throw new Error( "jQuery requires a window with a document" );
+				}
+				return factory( w );
+			};
+	} else {
+		factory( global );
+	}
+
+// Pass this if window is not defined yet
+} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) {
+
+// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1
+// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode
+// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common
+// enough that all such attempts are guarded in a try block.
+"use strict";
+
+var arr = [];
+
+var document = window.document;
+
+var getProto = Object.getPrototypeOf;
+
+var slice = arr.slice;
+
+var concat = arr.concat;
+
+var push = arr.push;
+
+var indexOf = arr.indexOf;
+
+var class2type = {};
+
+var toString = class2type.toString;
+
+var hasOwn = class2type.hasOwnProperty;
+
+var fnToString = hasOwn.toString;
+
+var ObjectFunctionString = fnToString.call( Object );
+
+var support = {};
+
+
+
+	function DOMEval( code, doc ) {
+		doc = doc || document;
+
+		var script = doc.createElement( "script" );
+
+		script.text = code;
+		doc.head.appendChild( script ).parentNode.removeChild( script );
+	}
+/* global Symbol */
+// Defining this global in .eslintrc.json would create a danger of using the global
+// unguarded in another place, it seems safer to define global only for this module
+
+
+
+var
+	version = "3.2.1",
+
+	// Define a local copy of jQuery
+	jQuery = function( selector, context ) {
+
+		// The jQuery object is actually just the init constructor 'enhanced'
+		// Need init if jQuery is called (just allow error to be thrown if not included)
+		return new jQuery.fn.init( selector, context );
+	},
+
+	// Support: Android <=4.0 only
+	// Make sure we trim BOM and NBSP
+	rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g,
+
+	// Matches dashed string for camelizing
+	rmsPrefix = /^-ms-/,
+	rdashAlpha = /-([a-z])/g,
+
+	// Used by jQuery.camelCase as callback to replace()
+	fcamelCase = function( all, letter ) {
+		return letter.toUpperCase();
+	};
+
+jQuery.fn = jQuery.prototype = {
+
+	// The current version of jQuery being used
+	jquery: version,
+
+	constructor: jQuery,
+
+	// The default length of a jQuery object is 0
+	length: 0,
+
+	toArray: function() {
+		return slice.call( this );
+	},
+
+	// Get the Nth element in the matched element set OR
+	// Get the whole matched element set as a clean array
+	get: function( num ) {
+
+		// Return all the elements in a clean array
+		if ( num == null ) {
+			return slice.call( this );
+		}
+
+		// Return just the one element from the set
+		return num < 0 ? this[ num + this.length ] : this[ num ];
+	},
+
+	// Take an array of elements and push it onto the stack
+	// (returning the new matched element set)
+	pushStack: function( elems ) {
+
+		// Build a new jQuery matched element set
+		var ret = jQuery.merge( this.constructor(), elems );
+
+		// Add the old object onto the stack (as a reference)
+		ret.prevObject = this;
+
+		// Return the newly-formed element set
+		return ret;
+	},
+
+	// Execute a callback for every element in the matched set.
+	each: function( callback ) {
+		return jQuery.each( this, callback );
+	},
+
+	map: function( callback ) {
+		return this.pushStack( jQuery.map( this, function( elem, i ) {
+			return callback.call( elem, i, elem );
+		} ) );
+	},
+
+	slice: function() {
+		return this.pushStack( slice.apply( this, arguments ) );
+	},
+
+	first: function() {
+		return this.eq( 0 );
+	},
+
+	last: function() {
+		return this.eq( -1 );
+	},
+
+	eq: function( i ) {
+		var len = this.length,
+			j = +i + ( i < 0 ? len : 0 );
+		return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] );
+	},
+
+	end: function() {
+		return this.prevObject || this.constructor();
+	},
+
+	// For internal use only.
+	// Behaves like an Array's method, not like a jQuery method.
+	push: push,
+	sort: arr.sort,
+	splice: arr.splice
+};
+
+jQuery.extend = jQuery.fn.extend = function() {
+	var options, name, src, copy, copyIsArray, clone,
+		target = arguments[ 0 ] || {},
+		i = 1,
+		length = arguments.length,
+		deep = false;
+
+	// Handle a deep copy situation
+	if ( typeof target === "boolean" ) {
+		deep = target;
+
+		// Skip the boolean and the target
+		target = arguments[ i ] || {};
+		i++;
+	}
+
+	// Handle case when target is a string or something (possible in deep copy)
+	if ( typeof target !== "object" && !jQuery.isFunction( target ) ) {
+		target = {};
+	}
+
+	// Extend jQuery itself if only one argument is passed
+	if ( i === length ) {
+		target = this;
+		i--;
+	}
+
+	for ( ; i < length; i++ ) {
+
+		// Only deal with non-null/undefined values
+		if ( ( options = arguments[ i ] ) != null ) {
+
+			// Extend the base object
+			for ( name in options ) {
+				src = target[ name ];
+				copy = options[ name ];
+
+				// Prevent never-ending loop
+				if ( target === copy ) {
+					continue;
+				}
+
+				// Recurse if we're merging plain objects or arrays
+				if ( deep && copy && ( jQuery.isPlainObject( copy ) ||
+					( copyIsArray = Array.isArray( copy ) ) ) ) {
+
+					if ( copyIsArray ) {
+						copyIsArray = false;
+						clone = src && Array.isArray( src ) ? src : [];
+
+					} else {
+						clone = src && jQuery.isPlainObject( src ) ? src : {};
+					}
+
+					// Never move original objects, clone them
+					target[ name ] = jQuery.extend( deep, clone, copy );
+
+				// Don't bring in undefined values
+				} else if ( copy !== undefined ) {
+					target[ name ] = copy;
+				}
+			}
+		}
+	}
+
+	// Return the modified object
+	return target;
+};
+
+jQuery.extend( {
+
+	// Unique for each copy of jQuery on the page
+	expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ),
+
+	// Assume jQuery is ready without the ready module
+	isReady: true,
+
+	error: function( msg ) {
+		throw new Error( msg );
+	},
+
+	noop: function() {},
+
+	isFunction: function( obj ) {
+		return jQuery.type( obj ) === "function";
+	},
+
+	isWindow: function( obj ) {
+		return obj != null && obj === obj.window;
+	},
+
+	isNumeric: function( obj ) {
+
+		// As of jQuery 3.0, isNumeric is limited to
+		// strings and numbers (primitives or objects)
+		// that can be coerced to finite numbers (gh-2662)
+		var type = jQuery.type( obj );
+		return ( type === "number" || type === "string" ) &&
+
+			// parseFloat NaNs numeric-cast false positives ("")
+			// ...but misinterprets leading-number strings, particularly hex literals ("0x...")
+			// subtraction forces infinities to NaN
+			!isNaN( obj - parseFloat( obj ) );
+	},
+
+	isPlainObject: function( obj ) {
+		var proto, Ctor;
+
+		// Detect obvious negatives
+		// Use toString instead of jQuery.type to catch host objects
+		if ( !obj || toString.call( obj ) !== "[object Object]" ) {
+			return false;
+		}
+
+		proto = getProto( obj );
+
+		// Objects with no prototype (e.g., `Object.create( null )`) are plain
+		if ( !proto ) {
+			return true;
+		}
+
+		// Objects with prototype are plain iff they were constructed by a global Object function
+		Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor;
+		return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString;
+	},
+
+	isEmptyObject: function( obj ) {
+
+		/* eslint-disable no-unused-vars */
+		// See https://github.com/eslint/eslint/issues/6125
+		var name;
+
+		for ( name in obj ) {
+			return false;
+		}
+		return true;
+	},
+
+	type: function( obj ) {
+		if ( obj == null ) {
+			return obj + "";
+		}
+
+		// Support: Android <=2.3 only (functionish RegExp)
+		return typeof obj === "object" || typeof obj === "function" ?
+			class2type[ toString.call( obj ) ] || "object" :
+			typeof obj;
+	},
+
+	// Evaluates a script in a global context
+	globalEval: function( code ) {
+		DOMEval( code );
+	},
+
+	// Convert dashed to camelCase; used by the css and data modules
+	// Support: IE <=9 - 11, Edge 12 - 13
+	// Microsoft forgot to hump their vendor prefix (#9572)
+	camelCase: function( string ) {
+		return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase );
+	},
+
+	each: function( obj, callback ) {
+		var length, i = 0;
+
+		if ( isArrayLike( obj ) ) {
+			length = obj.length;
+			for ( ; i < length; i++ ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		} else {
+			for ( i in obj ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		}
+
+		return obj;
+	},
+
+	// Support: Android <=4.0 only
+	trim: function( text ) {
+		return text == null ?
+			"" :
+			( text + "" ).replace( rtrim, "" );
+	},
+
+	// results is for internal usage only
+	makeArray: function( arr, results ) {
+		var ret = results || [];
+
+		if ( arr != null ) {
+			if ( isArrayLike( Object( arr ) ) ) {
+				jQuery.merge( ret,
+					typeof arr === "string" ?
+					[ arr ] : arr
+				);
+			} else {
+				push.call( ret, arr );
+			}
+		}
+
+		return ret;
+	},
+
+	inArray: function( elem, arr, i ) {
+		return arr == null ? -1 : indexOf.call( arr, elem, i );
+	},
+
+	// Support: Android <=4.0 only, PhantomJS 1 only
+	// push.apply(_, arraylike) throws on ancient WebKit
+	merge: function( first, second ) {
+		var len = +second.length,
+			j = 0,
+			i = first.length;
+
+		for ( ; j < len; j++ ) {
+			first[ i++ ] = second[ j ];
+		}
+
+		first.length = i;
+
+		return first;
+	},
+
+	grep: function( elems, callback, invert ) {
+		var callbackInverse,
+			matches = [],
+			i = 0,
+			length = elems.length,
+			callbackExpect = !invert;
+
+		// Go through the array, only saving the items
+		// that pass the validator function
+		for ( ; i < length; i++ ) {
+			callbackInverse = !callback( elems[ i ], i );
+			if ( callbackInverse !== callbackExpect ) {
+				matches.push( elems[ i ] );
+			}
+		}
+
+		return matches;
+	},
+
+	// arg is for internal usage only
+	map: function( elems, callback, arg ) {
+		var length, value,
+			i = 0,
+			ret = [];
+
+		// Go through the array, translating each of the items to their new values
+		if ( isArrayLike( elems ) ) {
+			length = elems.length;
+			for ( ; i < length; i++ ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+
+		// Go through every key on the object,
+		} else {
+			for ( i in elems ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+		}
+
+		// Flatten any nested arrays
+		return concat.apply( [], ret );
+	},
+
+	// A global GUID counter for objects
+	guid: 1,
+
+	// Bind a function to a context, optionally partially applying any
+	// arguments.
+	proxy: function( fn, context ) {
+		var tmp, args, proxy;
+
+		if ( typeof context === "string" ) {
+			tmp = fn[ context ];
+			context = fn;
+			fn = tmp;
+		}
+
+		// Quick check to determine if target is callable, in the spec
+		// this throws a TypeError, but we will just return undefined.
+		if ( !jQuery.isFunction( fn ) ) {
+			return undefined;
+		}
+
+		// Simulated bind
+		args = slice.call( arguments, 2 );
+		proxy = function() {
+			return fn.apply( context || this, args.concat( slice.call( arguments ) ) );
+		};
+
+		// Set the guid of unique handler to the same of original handler, so it can be removed
+		proxy.guid = fn.guid = fn.guid || jQuery.guid++;
+
+		return proxy;
+	},
+
+	now: Date.now,
+
+	// jQuery.support is not used in Core but other projects attach their
+	// properties to it so it needs to exist.
+	support: support
+} );
+
+if ( typeof Symbol === "function" ) {
+	jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ];
+}
+
+// Populate the class2type map
+jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ),
+function( i, name ) {
+	class2type[ "[object " + name + "]" ] = name.toLowerCase();
+} );
+
+function isArrayLike( obj ) {
+
+	// Support: real iOS 8.2 only (not reproducible in simulator)
+	// `in` check used to prevent JIT error (gh-2145)
+	// hasOwn isn't used here due to false negatives
+	// regarding Nodelist length in IE
+	var length = !!obj && "length" in obj && obj.length,
+		type = jQuery.type( obj );
+
+	if ( type === "function" || jQuery.isWindow( obj ) ) {
+		return false;
+	}
+
+	return type === "array" || length === 0 ||
+		typeof length === "number" && length > 0 && ( length - 1 ) in obj;
+}
+var Sizzle =
+/*!
+ * Sizzle CSS Selector Engine v2.3.3
+ * https://sizzlejs.com/
+ *
+ * Copyright jQuery Foundation and other contributors
+ * Released under the MIT license
+ * http://jquery.org/license
+ *
+ * Date: 2016-08-08
+ */
+(function( window ) {
+
+var i,
+	support,
+	Expr,
+	getText,
+	isXML,
+	tokenize,
+	compile,
+	select,
+	outermostContext,
+	sortInput,
+	hasDuplicate,
+
+	// Local document vars
+	setDocument,
+	document,
+	docElem,
+	documentIsHTML,
+	rbuggyQSA,
+	rbuggyMatches,
+	matches,
+	contains,
+
+	// Instance-specific data
+	expando = "sizzle" + 1 * new Date(),
+	preferredDoc = window.document,
+	dirruns = 0,
+	done = 0,
+	classCache = createCache(),
+	tokenCache = createCache(),
+	compilerCache = createCache(),
+	sortOrder = function( a, b ) {
+		if ( a === b ) {
+			hasDuplicate = true;
+		}
+		return 0;
+	},
+
+	// Instance methods
+	hasOwn = ({}).hasOwnProperty,
+	arr = [],
+	pop = arr.pop,
+	push_native = arr.push,
+	push = arr.push,
+	slice = arr.slice,
+	// Use a stripped-down indexOf as it's faster than native
+	// https://jsperf.com/thor-indexof-vs-for/5
+	indexOf = function( list, elem ) {
+		var i = 0,
+			len = list.length;
+		for ( ; i < len; i++ ) {
+			if ( list[i] === elem ) {
+				return i;
+			}
+		}
+		return -1;
+	},
+
+	booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",
+
+	// Regular expressions
+
+	// http://www.w3.org/TR/css3-selectors/#whitespace
+	whitespace = "[\\x20\\t\\r\\n\\f]",
+
+	// http://www.w3.org/TR/CSS21/syndata.html#value-def-identifier
+	identifier = "(?:\\\\.|[\\w-]|[^\0-\\xa0])+",
+
+	// Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors
+	attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace +
+		// Operator (capture 2)
+		"*([*^$|!~]?=)" + whitespace +
+		// "Attribute values must be CSS identifiers [capture 5] or strings [capture 3 or capture 4]"
+		"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" + whitespace +
+		"*\\]",
+
+	pseudos = ":(" + identifier + ")(?:\\((" +
+		// To reduce the number of selectors needing tokenize in the preFilter, prefer arguments:
+		// 1. quoted (capture 3; capture 4 or capture 5)
+		"('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" +
+		// 2. simple (capture 6)
+		"((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" +
+		// 3. anything else (capture 2)
+		".*" +
+		")\\)|)",
+
+	// Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter
+	rwhitespace = new RegExp( whitespace + "+", "g" ),
+	rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + whitespace + "+$", "g" ),
+
+	rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ),
+	rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + "*" ),
+
+	rattributeQuotes = new RegExp( "=" + whitespace + "*([^\\]'\"]*?)" + whitespace + "*\\]", "g" ),
+
+	rpseudo = new RegExp( pseudos ),
+	ridentifier = new RegExp( "^" + identifier + "$" ),
+
+	matchExpr = {
+		"ID": new RegExp( "^#(" + identifier + ")" ),
+		"CLASS": new RegExp( "^\\.(" + identifier + ")" ),
+		"TAG": new RegExp( "^(" + identifier + "|[*])" ),
+		"ATTR": new RegExp( "^" + attributes ),
+		"PSEUDO": new RegExp( "^" + pseudos ),
+		"CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + whitespace +
+			"*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + whitespace +
+			"*(\\d+)|))" + whitespace + "*\\)|)", "i" ),
+		"bool": new RegExp( "^(?:" + booleans + ")$", "i" ),
+		// For use in libraries implementing .is()
+		// We use this for POS matching in `select`
+		"needsContext": new RegExp( "^" + whitespace + "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" +
+			whitespace + "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" )
+	},
+
+	rinputs = /^(?:input|select|textarea|button)$/i,
+	rheader = /^h\d$/i,
+
+	rnative = /^[^{]+\{\s*\[native \w/,
+
+	// Easily-parseable/retrievable ID or TAG or CLASS selectors
+	rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,
+
+	rsibling = /[+~]/,
+
+	// CSS escapes
+	// http://www.w3.org/TR/CSS21/syndata.html#escaped-characters
+	runescape = new RegExp( "\\\\([\\da-f]{1,6}" + whitespace + "?|(" + whitespace + ")|.)", "ig" ),
+	funescape = function( _, escaped, escapedWhitespace ) {
+		var high = "0x" + escaped - 0x10000;
+		// NaN means non-codepoint
+		// Support: Firefox<24
+		// Workaround erroneous numeric interpretation of +"0x"
+		return high !== high || escapedWhitespace ?
+			escaped :
+			high < 0 ?
+				// BMP codepoint
+				String.fromCharCode( high + 0x10000 ) :
+				// Supplemental Plane codepoint (surrogate pair)
+				String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 );
+	},
+
+	// CSS string/identifier serialization
+	// https://drafts.csswg.org/cssom/#common-serializing-idioms
+	rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,
+	fcssescape = function( ch, asCodePoint ) {
+		if ( asCodePoint ) {
+
+			// U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER
+			if ( ch === "\0" ) {
+				return "\uFFFD";
+			}
+
+			// Control characters and (dependent upon position) numbers get escaped as code points
+			return ch.slice( 0, -1 ) + "\\" + ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " ";
+		}
+
+		// Other potentially-special ASCII characters get backslash-escaped
+		return "\\" + ch;
+	},
+
+	// Used for iframes
+	// See setDocument()
+	// Removing the function wrapper causes a "Permission Denied"
+	// error in IE
+	unloadHandler = function() {
+		setDocument();
+	},
+
+	disabledAncestor = addCombinator(
+		function( elem ) {
+			return elem.disabled === true && ("form" in elem || "label" in elem);
+		},
+		{ dir: "parentNode", next: "legend" }
+	);
+
+// Optimize for push.apply( _, NodeList )
+try {
+	push.apply(
+		(arr = slice.call( preferredDoc.childNodes )),
+		preferredDoc.childNodes
+	);
+	// Support: Android<4.0
+	// Detect silently failing push.apply
+	arr[ preferredDoc.childNodes.length ].nodeType;
+} catch ( e ) {
+	push = { apply: arr.length ?
+
+		// Leverage slice if possible
+		function( target, els ) {
+			push_native.apply( target, slice.call(els) );
+		} :
+
+		// Support: IE<9
+		// Otherwise append directly
+		function( target, els ) {
+			var j = target.length,
+				i = 0;
+			// Can't trust NodeList.length
+			while ( (target[j++] = els[i++]) ) {}
+			target.length = j - 1;
+		}
+	};
+}
+
+function Sizzle( selector, context, results, seed ) {
+	var m, i, elem, nid, match, groups, newSelector,
+		newContext = context && context.ownerDocument,
+
+		// nodeType defaults to 9, since context defaults to document
+		nodeType = context ? context.nodeType : 9;
+
+	results = results || [];
+
+	// Return early from calls with invalid selector or context
+	if ( typeof selector !== "string" || !selector ||
+		nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) {
+
+		return results;
+	}
+
+	// Try to shortcut find operations (as opposed to filters) in HTML documents
+	if ( !seed ) {
+
+		if ( ( context ? context.ownerDocument || context : preferredDoc ) !== document ) {
+			setDocument( context );
+		}
+		context = context || document;
+
+		if ( documentIsHTML ) {
+
+			// If the selector is sufficiently simple, try using a "get*By*" DOM method
+			// (excepting DocumentFragment context, where the methods don't exist)
+			if ( nodeType !== 11 && (match = rquickExpr.exec( selector )) ) {
+
+				// ID selector
+				if ( (m = match[1]) ) {
+
+					// Document context
+					if ( nodeType === 9 ) {
+						if ( (elem = context.getElementById( m )) ) {
+
+							// Support: IE, Opera, Webkit
+							// TODO: identify versions
+							// getElementById can match elements by name instead of ID
+							if ( elem.id === m ) {
+								results.push( elem );
+								return results;
+							}
+						} else {
+							return results;
+						}
+
+					// Element context
+					} else {
+
+						// Support: IE, Opera, Webkit
+						// TODO: identify versions
+						// getElementById can match elements by name instead of ID
+						if ( newContext && (elem = newContext.getElementById( m )) &&
+							contains( context, elem ) &&
+							elem.id === m ) {
+
+							results.push( elem );
+							return results;
+						}
+					}
+
+				// Type selector
+				} else if ( match[2] ) {
+					push.apply( results, context.getElementsByTagName( selector ) );
+					return results;
+
+				// Class selector
+				} else if ( (m = match[3]) && support.getElementsByClassName &&
+					context.getElementsByClassName ) {
+
+					push.apply( results, context.getElementsByClassName( m ) );
+					return results;
+				}
+			}
+
+			// Take advantage of querySelectorAll
+			if ( support.qsa &&
+				!compilerCache[ selector + " " ] &&
+				(!rbuggyQSA || !rbuggyQSA.test( selector )) ) {
+
+				if ( nodeType !== 1 ) {
+					newContext = context;
+					newSelector = selector;
+
+				// qSA looks outside Element context, which is not what we want
+				// Thanks to Andrew Dupont for this workaround technique
+				// Support: IE <=8
+				// Exclude object elements
+				} else if ( context.nodeName.toLowerCase() !== "object" ) {
+
+					// Capture the context ID, setting it first if necessary
+					if ( (nid = context.getAttribute( "id" )) ) {
+						nid = nid.replace( rcssescape, fcssescape );
+					} else {
+						context.setAttribute( "id", (nid = expando) );
+					}
+
+					// Prefix every selector in the list
+					groups = tokenize( selector );
+					i = groups.length;
+					while ( i-- ) {
+						groups[i] = "#" + nid + " " + toSelector( groups[i] );
+					}
+					newSelector = groups.join( "," );
+
+					// Expand context for sibling selectors
+					newContext = rsibling.test( selector ) && testContext( context.parentNode ) ||
+						context;
+				}
+
+				if ( newSelector ) {
+					try {
+						push.apply( results,
+							newContext.querySelectorAll( newSelector )
+						);
+						return results;
+					} catch ( qsaError ) {
+					} finally {
+						if ( nid === expando ) {
+							context.removeAttribute( "id" );
+						}
+					}
+				}
+			}
+		}
+	}
+
+	// All others
+	return select( selector.replace( rtrim, "$1" ), context, results, seed );
+}
+
+/**
+ * Create key-value caches of limited size
+ * @returns {function(string, object)} Returns the Object data after storing it on itself with
+ *	property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength)
+ *	deleting the oldest entry
+ */
+function createCache() {
+	var keys = [];
+
+	function cache( key, value ) {
+		// Use (key + " ") to avoid collision with native prototype properties (see Issue #157)
+		if ( keys.push( key + " " ) > Expr.cacheLength ) {
+			// Only keep the most recent entries
+			delete cache[ keys.shift() ];
+		}
+		return (cache[ key + " " ] = value);
+	}
+	return cache;
+}
+
+/**
+ * Mark a function for special use by Sizzle
+ * @param {Function} fn The function to mark
+ */
+function markFunction( fn ) {
+	fn[ expando ] = true;
+	return fn;
+}
+
+/**
+ * Support testing using an element
+ * @param {Function} fn Passed the created element and returns a boolean result
+ */
+function assert( fn ) {
+	var el = document.createElement("fieldset");
+
+	try {
+		return !!fn( el );
+	} catch (e) {
+		return false;
+	} finally {
+		// Remove from its parent by default
+		if ( el.parentNode ) {
+			el.parentNode.removeChild( el );
+		}
+		// release memory in IE
+		el = null;
+	}
+}
+
+/**
+ * Adds the same handler for all of the specified attrs
+ * @param {String} attrs Pipe-separated list of attributes
+ * @param {Function} handler The method that will be applied
+ */
+function addHandle( attrs, handler ) {
+	var arr = attrs.split("|"),
+		i = arr.length;
+
+	while ( i-- ) {
+		Expr.attrHandle[ arr[i] ] = handler;
+	}
+}
+
+/**
+ * Checks document order of two siblings
+ * @param {Element} a
+ * @param {Element} b
+ * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b
+ */
+function siblingCheck( a, b ) {
+	var cur = b && a,
+		diff = cur && a.nodeType === 1 && b.nodeType === 1 &&
+			a.sourceIndex - b.sourceIndex;
+
+	// Use IE sourceIndex if available on both nodes
+	if ( diff ) {
+		return diff;
+	}
+
+	// Check if b follows a
+	if ( cur ) {
+		while ( (cur = cur.nextSibling) ) {
+			if ( cur === b ) {
+				return -1;
+			}
+		}
+	}
+
+	return a ? 1 : -1;
+}
+
+/**
+ * Returns a function to use in pseudos for input types
+ * @param {String} type
+ */
+function createInputPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return name === "input" && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for buttons
+ * @param {String} type
+ */
+function createButtonPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return (name === "input" || name === "button") && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for :enabled/:disabled
+ * @param {Boolean} disabled true for :disabled; false for :enabled
+ */
+function createDisabledPseudo( disabled ) {
+
+	// Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable
+	return function( elem ) {
+
+		// Only certain elements can match :enabled or :disabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled
+		if ( "form" in elem ) {
+
+			// Check for inherited disabledness on relevant non-disabled elements:
+			// * listed form-associated elements in a disabled fieldset
+			//   https://html.spec.whatwg.org/multipage/forms.html#category-listed
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled
+			// * option elements in a disabled optgroup
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled
+			// All such elements have a "form" property.
+			if ( elem.parentNode && elem.disabled === false ) {
+
+				// Option elements defer to a parent optgroup if present
+				if ( "label" in elem ) {
+					if ( "label" in elem.parentNode ) {
+						return elem.parentNode.disabled === disabled;
+					} else {
+						return elem.disabled === disabled;
+					}
+				}
+
+				// Support: IE 6 - 11
+				// Use the isDisabled shortcut property to check for disabled fieldset ancestors
+				return elem.isDisabled === disabled ||
+
+					// Where there is no isDisabled, check manually
+					/* jshint -W018 */
+					elem.isDisabled !== !disabled &&
+						disabledAncestor( elem ) === disabled;
+			}
+
+			return elem.disabled === disabled;
+
+		// Try to winnow out elements that can't be disabled before trusting the disabled property.
+		// Some victims get caught in our net (label, legend, menu, track), but it shouldn't
+		// even exist on them, let alone have a boolean value.
+		} else if ( "label" in elem ) {
+			return elem.disabled === disabled;
+		}
+
+		// Remaining elements are neither :enabled nor :disabled
+		return false;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for positionals
+ * @param {Function} fn
+ */
+function createPositionalPseudo( fn ) {
+	return markFunction(function( argument ) {
+		argument = +argument;
+		return markFunction(function( seed, matches ) {
+			var j,
+				matchIndexes = fn( [], seed.length, argument ),
+				i = matchIndexes.length;
+
+			// Match elements found at the specified indexes
+			while ( i-- ) {
+				if ( seed[ (j = matchIndexes[i]) ] ) {
+					seed[j] = !(matches[j] = seed[j]);
+				}
+			}
+		});
+	});
+}
+
+/**
+ * Checks a node for validity as a Sizzle context
+ * @param {Element|Object=} context
+ * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value
+ */
+function testContext( context ) {
+	return context && typeof context.getElementsByTagName !== "undefined" && context;
+}
+
+// Expose support vars for convenience
+support = Sizzle.support = {};
+
+/**
+ * Detects XML nodes
+ * @param {Element|Object} elem An element or a document
+ * @returns {Boolean} True iff elem is a non-HTML XML node
+ */
+isXML = Sizzle.isXML = function( elem ) {
+	// documentElement is verified for cases where it doesn't yet exist
+	// (such as loading iframes in IE - #4833)
+	var documentElement = elem && (elem.ownerDocument || elem).documentElement;
+	return documentElement ? documentElement.nodeName !== "HTML" : false;
+};
+
+/**
+ * Sets document-related variables once based on the current document
+ * @param {Element|Object} [doc] An element or document object to use to set the document
+ * @returns {Object} Returns the current document
+ */
+setDocument = Sizzle.setDocument = function( node ) {
+	var hasCompare, subWindow,
+		doc = node ? node.ownerDocument || node : preferredDoc;
+
+	// Return early if doc is invalid or already selected
+	if ( doc === document || doc.nodeType !== 9 || !doc.documentElement ) {
+		return document;
+	}
+
+	// Update global variables
+	document = doc;
+	docElem = document.documentElement;
+	documentIsHTML = !isXML( document );
+
+	// Support: IE 9-11, Edge
+	// Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936)
+	if ( preferredDoc !== document &&
+		(subWindow = document.defaultView) && subWindow.top !== subWindow ) {
+
+		// Support: IE 11, Edge
+		if ( subWindow.addEventListener ) {
+			subWindow.addEventListener( "unload", unloadHandler, false );
+
+		// Support: IE 9 - 10 only
+		} else if ( subWindow.attachEvent ) {
+			subWindow.attachEvent( "onunload", unloadHandler );
+		}
+	}
+
+	/* Attributes
+	---------------------------------------------------------------------- */
+
+	// Support: IE<8
+	// Verify that getAttribute really returns attributes and not properties
+	// (excepting IE8 booleans)
+	support.attributes = assert(function( el ) {
+		el.className = "i";
+		return !el.getAttribute("className");
+	});
+
+	/* getElement(s)By*
+	---------------------------------------------------------------------- */
+
+	// Check if getElementsByTagName("*") returns only elements
+	support.getElementsByTagName = assert(function( el ) {
+		el.appendChild( document.createComment("") );
+		return !el.getElementsByTagName("*").length;
+	});
+
+	// Support: IE<9
+	support.getElementsByClassName = rnative.test( document.getElementsByClassName );
+
+	// Support: IE<10
+	// Check if getElementById returns elements by name
+	// The broken getElementById methods don't pick up programmatically-set names,
+	// so use a roundabout getElementsByName test
+	support.getById = assert(function( el ) {
+		docElem.appendChild( el ).id = expando;
+		return !document.getElementsByName || !document.getElementsByName( expando ).length;
+	});
+
+	// ID filter and find
+	if ( support.getById ) {
+		Expr.filter["ID"] = function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				return elem.getAttribute("id") === attrId;
+			};
+		};
+		Expr.find["ID"] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var elem = context.getElementById( id );
+				return elem ? [ elem ] : [];
+			}
+		};
+	} else {
+		Expr.filter["ID"] =  function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				var node = typeof elem.getAttributeNode !== "undefined" &&
+					elem.getAttributeNode("id");
+				return node && node.value === attrId;
+			};
+		};
+
+		// Support: IE 6 - 7 only
+		// getElementById is not reliable as a find shortcut
+		Expr.find["ID"] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var node, i, elems,
+					elem = context.getElementById( id );
+
+				if ( elem ) {
+
+					// Verify the id attribute
+					node = elem.getAttributeNode("id");
+					if ( node && node.value === id ) {
+						return [ elem ];
+					}
+
+					// Fall back on getElementsByName
+					elems = context.getElementsByName( id );
+					i = 0;
+					while ( (elem = elems[i++]) ) {
+						node = elem.getAttributeNode("id");
+						if ( node && node.value === id ) {
+							return [ elem ];
+						}
+					}
+				}
+
+				return [];
+			}
+		};
+	}
+
+	// Tag
+	Expr.find["TAG"] = support.getElementsByTagName ?
+		function( tag, context ) {
+			if ( typeof context.getElementsByTagName !== "undefined" ) {
+				return context.getElementsByTagName( tag );
+
+			// DocumentFragment nodes don't have gEBTN
+			} else if ( support.qsa ) {
+				return context.querySelectorAll( tag );
+			}
+		} :
+
+		function( tag, context ) {
+			var elem,
+				tmp = [],
+				i = 0,
+				// By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too
+				results = context.getElementsByTagName( tag );
+
+			// Filter out possible comments
+			if ( tag === "*" ) {
+				while ( (elem = results[i++]) ) {
+					if ( elem.nodeType === 1 ) {
+						tmp.push( elem );
+					}
+				}
+
+				return tmp;
+			}
+			return results;
+		};
+
+	// Class
+	Expr.find["CLASS"] = support.getElementsByClassName && function( className, context ) {
+		if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) {
+			return context.getElementsByClassName( className );
+		}
+	};
+
+	/* QSA/matchesSelector
+	---------------------------------------------------------------------- */
+
+	// QSA and matchesSelector support
+
+	// matchesSelector(:active) reports false when true (IE9/Opera 11.5)
+	rbuggyMatches = [];
+
+	// qSa(:focus) reports false when true (Chrome 21)
+	// We allow this because of a bug in IE8/9 that throws an error
+	// whenever `document.activeElement` is accessed on an iframe
+	// So, we allow :focus to pass through QSA all the time to avoid the IE error
+	// See https://bugs.jquery.com/ticket/13378
+	rbuggyQSA = [];
+
+	if ( (support.qsa = rnative.test( document.querySelectorAll )) ) {
+		// Build QSA regex
+		// Regex strategy adopted from Diego Perini
+		assert(function( el ) {
+			// Select is set to empty string on purpose
+			// This is to test IE's treatment of not explicitly
+			// setting a boolean content attribute,
+			// since its presence should be enough
+			// https://bugs.jquery.com/ticket/12359
+			docElem.appendChild( el ).innerHTML = "<a id='" + expando + "'></a>" +
+				"<select id='" + expando + "-\r\\' msallowcapture=''>" +
+				"<option selected=''></option></select>";
+
+			// Support: IE8, Opera 11-12.16
+			// Nothing should be selected when empty strings follow ^= or $= or *=
+			// The test attribute must be unknown in Opera but "safe" for WinRT
+			// https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section
+			if ( el.querySelectorAll("[msallowcapture^='']").length ) {
+				rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" );
+			}
+
+			// Support: IE8
+			// Boolean attributes and "value" are not treated correctly
+			if ( !el.querySelectorAll("[selected]").length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" );
+			}
+
+			// Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+
+			if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) {
+				rbuggyQSA.push("~=");
+			}
+
+			// Webkit/Opera - :checked should return selected option elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			// IE8 throws error here and will not see later tests
+			if ( !el.querySelectorAll(":checked").length ) {
+				rbuggyQSA.push(":checked");
+			}
+
+			// Support: Safari 8+, iOS 8+
+			// https://bugs.webkit.org/show_bug.cgi?id=136851
+			// In-page `selector#id sibling-combinator selector` fails
+			if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) {
+				rbuggyQSA.push(".#.+[+~]");
+			}
+		});
+
+		assert(function( el ) {
+			el.innerHTML = "<a href='' disabled='disabled'></a>" +
+				"<select disabled='disabled'><option/></select>";
+
+			// Support: Windows 8 Native Apps
+			// The type and name attributes are restricted during .innerHTML assignment
+			var input = document.createElement("input");
+			input.setAttribute( "type", "hidden" );
+			el.appendChild( input ).setAttribute( "name", "D" );
+
+			// Support: IE8
+			// Enforce case-sensitivity of name attribute
+			if ( el.querySelectorAll("[name=d]").length ) {
+				rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" );
+			}
+
+			// FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled)
+			// IE8 throws error here and will not see later tests
+			if ( el.querySelectorAll(":enabled").length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Support: IE9-11+
+			// IE's :disabled selector does not pick up the children of disabled fieldsets
+			docElem.appendChild( el ).disabled = true;
+			if ( el.querySelectorAll(":disabled").length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Opera 10-11 does not throw on post-comma invalid pseudos
+			el.querySelectorAll("*,:x");
+			rbuggyQSA.push(",.*:");
+		});
+	}
+
+	if ( (support.matchesSelector = rnative.test( (matches = docElem.matches ||
+		docElem.webkitMatchesSelector ||
+		docElem.mozMatchesSelector ||
+		docElem.oMatchesSelector ||
+		docElem.msMatchesSelector) )) ) {
+
+		assert(function( el ) {
+			// Check to see if it's possible to do matchesSelector
+			// on a disconnected node (IE 9)
+			support.disconnectedMatch = matches.call( el, "*" );
+
+			// This should fail with an exception
+			// Gecko does not error, returns false instead
+			matches.call( el, "[s!='']:x" );
+			rbuggyMatches.push( "!=", pseudos );
+		});
+	}
+
+	rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join("|") );
+	rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join("|") );
+
+	/* Contains
+	---------------------------------------------------------------------- */
+	hasCompare = rnative.test( docElem.compareDocumentPosition );
+
+	// Element contains another
+	// Purposefully self-exclusive
+	// As in, an element does not contain itself
+	contains = hasCompare || rnative.test( docElem.contains ) ?
+		function( a, b ) {
+			var adown = a.nodeType === 9 ? a.documentElement : a,
+				bup = b && b.parentNode;
+			return a === bup || !!( bup && bup.nodeType === 1 && (
+				adown.contains ?
+					adown.contains( bup ) :
+					a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16
+			));
+		} :
+		function( a, b ) {
+			if ( b ) {
+				while ( (b = b.parentNode) ) {
+					if ( b === a ) {
+						return true;
+					}
+				}
+			}
+			return false;
+		};
+
+	/* Sorting
+	---------------------------------------------------------------------- */
+
+	// Document order sorting
+	sortOrder = hasCompare ?
+	function( a, b ) {
+
+		// Flag for duplicate removal
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		// Sort on method existence if only one input has compareDocumentPosition
+		var compare = !a.compareDocumentPosition - !b.compareDocumentPosition;
+		if ( compare ) {
+			return compare;
+		}
+
+		// Calculate position if both inputs belong to the same document
+		compare = ( a.ownerDocument || a ) === ( b.ownerDocument || b ) ?
+			a.compareDocumentPosition( b ) :
+
+			// Otherwise we know they are disconnected
+			1;
+
+		// Disconnected nodes
+		if ( compare & 1 ||
+			(!support.sortDetached && b.compareDocumentPosition( a ) === compare) ) {
+
+			// Choose the first element that is related to our preferred document
+			if ( a === document || a.ownerDocument === preferredDoc && contains(preferredDoc, a) ) {
+				return -1;
+			}
+			if ( b === document || b.ownerDocument === preferredDoc && contains(preferredDoc, b) ) {
+				return 1;
+			}
+
+			// Maintain original order
+			return sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+		}
+
+		return compare & 4 ? -1 : 1;
+	} :
+	function( a, b ) {
+		// Exit early if the nodes are identical
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		var cur,
+			i = 0,
+			aup = a.parentNode,
+			bup = b.parentNode,
+			ap = [ a ],
+			bp = [ b ];
+
+		// Parentless nodes are either documents or disconnected
+		if ( !aup || !bup ) {
+			return a === document ? -1 :
+				b === document ? 1 :
+				aup ? -1 :
+				bup ? 1 :
+				sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+
+		// If the nodes are siblings, we can do a quick check
+		} else if ( aup === bup ) {
+			return siblingCheck( a, b );
+		}
+
+		// Otherwise we need full lists of their ancestors for comparison
+		cur = a;
+		while ( (cur = cur.parentNode) ) {
+			ap.unshift( cur );
+		}
+		cur = b;
+		while ( (cur = cur.parentNode) ) {
+			bp.unshift( cur );
+		}
+
+		// Walk down the tree looking for a discrepancy
+		while ( ap[i] === bp[i] ) {
+			i++;
+		}
+
+		return i ?
+			// Do a sibling check if the nodes have a common ancestor
+			siblingCheck( ap[i], bp[i] ) :
+
+			// Otherwise nodes in our document sort first
+			ap[i] === preferredDoc ? -1 :
+			bp[i] === preferredDoc ? 1 :
+			0;
+	};
+
+	return document;
+};
+
+Sizzle.matches = function( expr, elements ) {
+	return Sizzle( expr, null, null, elements );
+};
+
+Sizzle.matchesSelector = function( elem, expr ) {
+	// Set document vars if needed
+	if ( ( elem.ownerDocument || elem ) !== document ) {
+		setDocument( elem );
+	}
+
+	// Make sure that attribute selectors are quoted
+	expr = expr.replace( rattributeQuotes, "='$1']" );
+
+	if ( support.matchesSelector && documentIsHTML &&
+		!compilerCache[ expr + " " ] &&
+		( !rbuggyMatches || !rbuggyMatches.test( expr ) ) &&
+		( !rbuggyQSA     || !rbuggyQSA.test( expr ) ) ) {
+
+		try {
+			var ret = matches.call( elem, expr );
+
+			// IE 9's matchesSelector returns false on disconnected nodes
+			if ( ret || support.disconnectedMatch ||
+					// As well, disconnected nodes are said to be in a document
+					// fragment in IE 9
+					elem.document && elem.document.nodeType !== 11 ) {
+				return ret;
+			}
+		} catch (e) {}
+	}
+
+	return Sizzle( expr, document, null, [ elem ] ).length > 0;
+};
+
+Sizzle.contains = function( context, elem ) {
+	// Set document vars if needed
+	if ( ( context.ownerDocument || context ) !== document ) {
+		setDocument( context );
+	}
+	return contains( context, elem );
+};
+
+Sizzle.attr = function( elem, name ) {
+	// Set document vars if needed
+	if ( ( elem.ownerDocument || elem ) !== document ) {
+		setDocument( elem );
+	}
+
+	var fn = Expr.attrHandle[ name.toLowerCase() ],
+		// Don't get fooled by Object.prototype properties (jQuery #13807)
+		val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ?
+			fn( elem, name, !documentIsHTML ) :
+			undefined;
+
+	return val !== undefined ?
+		val :
+		support.attributes || !documentIsHTML ?
+			elem.getAttribute( name ) :
+			(val = elem.getAttributeNode(name)) && val.specified ?
+				val.value :
+				null;
+};
+
+Sizzle.escape = function( sel ) {
+	return (sel + "").replace( rcssescape, fcssescape );
+};
+
+Sizzle.error = function( msg ) {
+	throw new Error( "Syntax error, unrecognized expression: " + msg );
+};
+
+/**
+ * Document sorting and removing duplicates
+ * @param {ArrayLike} results
+ */
+Sizzle.uniqueSort = function( results ) {
+	var elem,
+		duplicates = [],
+		j = 0,
+		i = 0;
+
+	// Unless we *know* we can detect duplicates, assume their presence
+	hasDuplicate = !support.detectDuplicates;
+	sortInput = !support.sortStable && results.slice( 0 );
+	results.sort( sortOrder );
+
+	if ( hasDuplicate ) {
+		while ( (elem = results[i++]) ) {
+			if ( elem === results[ i ] ) {
+				j = duplicates.push( i );
+			}
+		}
+		while ( j-- ) {
+			results.splice( duplicates[ j ], 1 );
+		}
+	}
+
+	// Clear input after sorting to release objects
+	// See https://github.com/jquery/sizzle/pull/225
+	sortInput = null;
+
+	return results;
+};
+
+/**
+ * Utility function for retrieving the text value of an array of DOM nodes
+ * @param {Array|Element} elem
+ */
+getText = Sizzle.getText = function( elem ) {
+	var node,
+		ret = "",
+		i = 0,
+		nodeType = elem.nodeType;
+
+	if ( !nodeType ) {
+		// If no nodeType, this is expected to be an array
+		while ( (node = elem[i++]) ) {
+			// Do not traverse comment nodes
+			ret += getText( node );
+		}
+	} else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) {
+		// Use textContent for elements
+		// innerText usage removed for consistency of new lines (jQuery #11153)
+		if ( typeof elem.textContent === "string" ) {
+			return elem.textContent;
+		} else {
+			// Traverse its children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				ret += getText( elem );
+			}
+		}
+	} else if ( nodeType === 3 || nodeType === 4 ) {
+		return elem.nodeValue;
+	}
+	// Do not include comment or processing instruction nodes
+
+	return ret;
+};
+
+Expr = Sizzle.selectors = {
+
+	// Can be adjusted by the user
+	cacheLength: 50,
+
+	createPseudo: markFunction,
+
+	match: matchExpr,
+
+	attrHandle: {},
+
+	find: {},
+
+	relative: {
+		">": { dir: "parentNode", first: true },
+		" ": { dir: "parentNode" },
+		"+": { dir: "previousSibling", first: true },
+		"~": { dir: "previousSibling" }
+	},
+
+	preFilter: {
+		"ATTR": function( match ) {
+			match[1] = match[1].replace( runescape, funescape );
+
+			// Move the given value to match[3] whether quoted or unquoted
+			match[3] = ( match[3] || match[4] || match[5] || "" ).replace( runescape, funescape );
+
+			if ( match[2] === "~=" ) {
+				match[3] = " " + match[3] + " ";
+			}
+
+			return match.slice( 0, 4 );
+		},
+
+		"CHILD": function( match ) {
+			/* matches from matchExpr["CHILD"]
+				1 type (only|nth|...)
+				2 what (child|of-type)
+				3 argument (even|odd|\d*|\d*n([+-]\d+)?|...)
+				4 xn-component of xn+y argument ([+-]?\d*n|)
+				5 sign of xn-component
+				6 x of xn-component
+				7 sign of y-component
+				8 y of y-component
+			*/
+			match[1] = match[1].toLowerCase();
+
+			if ( match[1].slice( 0, 3 ) === "nth" ) {
+				// nth-* requires argument
+				if ( !match[3] ) {
+					Sizzle.error( match[0] );
+				}
+
+				// numeric x and y parameters for Expr.filter.CHILD
+				// remember that false/true cast respectively to 0/1
+				match[4] = +( match[4] ? match[5] + (match[6] || 1) : 2 * ( match[3] === "even" || match[3] === "odd" ) );
+				match[5] = +( ( match[7] + match[8] ) || match[3] === "odd" );
+
+			// other types prohibit arguments
+			} else if ( match[3] ) {
+				Sizzle.error( match[0] );
+			}
+
+			return match;
+		},
+
+		"PSEUDO": function( match ) {
+			var excess,
+				unquoted = !match[6] && match[2];
+
+			if ( matchExpr["CHILD"].test( match[0] ) ) {
+				return null;
+			}
+
+			// Accept quoted arguments as-is
+			if ( match[3] ) {
+				match[2] = match[4] || match[5] || "";
+
+			// Strip excess characters from unquoted arguments
+			} else if ( unquoted && rpseudo.test( unquoted ) &&
+				// Get excess from tokenize (recursively)
+				(excess = tokenize( unquoted, true )) &&
+				// advance to the next closing parenthesis
+				(excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length) ) {
+
+				// excess is a negative index
+				match[0] = match[0].slice( 0, excess );
+				match[2] = unquoted.slice( 0, excess );
+			}
+
+			// Return only captures needed by the pseudo filter method (type and argument)
+			return match.slice( 0, 3 );
+		}
+	},
+
+	filter: {
+
+		"TAG": function( nodeNameSelector ) {
+			var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase();
+			return nodeNameSelector === "*" ?
+				function() { return true; } :
+				function( elem ) {
+					return elem.nodeName && elem.nodeName.toLowerCase() === nodeName;
+				};
+		},
+
+		"CLASS": function( className ) {
+			var pattern = classCache[ className + " " ];
+
+			return pattern ||
+				(pattern = new RegExp( "(^|" + whitespace + ")" + className + "(" + whitespace + "|$)" )) &&
+				classCache( className, function( elem ) {
+					return pattern.test( typeof elem.className === "string" && elem.className || typeof elem.getAttribute !== "undefined" && elem.getAttribute("class") || "" );
+				});
+		},
+
+		"ATTR": function( name, operator, check ) {
+			return function( elem ) {
+				var result = Sizzle.attr( elem, name );
+
+				if ( result == null ) {
+					return operator === "!=";
+				}
+				if ( !operator ) {
+					return true;
+				}
+
+				result += "";
+
+				return operator === "=" ? result === check :
+					operator === "!=" ? result !== check :
+					operator === "^=" ? check && result.indexOf( check ) === 0 :
+					operator === "*=" ? check && result.indexOf( check ) > -1 :
+					operator === "$=" ? check && result.slice( -check.length ) === check :
+					operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 :
+					operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" :
+					false;
+			};
+		},
+
+		"CHILD": function( type, what, argument, first, last ) {
+			var simple = type.slice( 0, 3 ) !== "nth",
+				forward = type.slice( -4 ) !== "last",
+				ofType = what === "of-type";
+
+			return first === 1 && last === 0 ?
+
+				// Shortcut for :nth-*(n)
+				function( elem ) {
+					return !!elem.parentNode;
+				} :
+
+				function( elem, context, xml ) {
+					var cache, uniqueCache, outerCache, node, nodeIndex, start,
+						dir = simple !== forward ? "nextSibling" : "previousSibling",
+						parent = elem.parentNode,
+						name = ofType && elem.nodeName.toLowerCase(),
+						useCache = !xml && !ofType,
+						diff = false;
+
+					if ( parent ) {
+
+						// :(first|last|only)-(child|of-type)
+						if ( simple ) {
+							while ( dir ) {
+								node = elem;
+								while ( (node = node[ dir ]) ) {
+									if ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) {
+
+										return false;
+									}
+								}
+								// Reverse direction for :only-* (if we haven't yet done so)
+								start = dir = type === "only" && !start && "nextSibling";
+							}
+							return true;
+						}
+
+						start = [ forward ? parent.firstChild : parent.lastChild ];
+
+						// non-xml :nth-child(...) stores cache data on `parent`
+						if ( forward && useCache ) {
+
+							// Seek `elem` from a previously-cached index
+
+							// ...in a gzip-friendly way
+							node = parent;
+							outerCache = node[ expando ] || (node[ expando ] = {});
+
+							// Support: IE <9 only
+							// Defend against cloned attroperties (jQuery gh-1709)
+							uniqueCache = outerCache[ node.uniqueID ] ||
+								(outerCache[ node.uniqueID ] = {});
+
+							cache = uniqueCache[ type ] || [];
+							nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+							diff = nodeIndex && cache[ 2 ];
+							node = nodeIndex && parent.childNodes[ nodeIndex ];
+
+							while ( (node = ++nodeIndex && node && node[ dir ] ||
+
+								// Fallback to seeking `elem` from the start
+								(diff = nodeIndex = 0) || start.pop()) ) {
+
+								// When found, cache indexes on `parent` and break
+								if ( node.nodeType === 1 && ++diff && node === elem ) {
+									uniqueCache[ type ] = [ dirruns, nodeIndex, diff ];
+									break;
+								}
+							}
+
+						} else {
+							// Use previously-cached element index if available
+							if ( useCache ) {
+								// ...in a gzip-friendly way
+								node = elem;
+								outerCache = node[ expando ] || (node[ expando ] = {});
+
+								// Support: IE <9 only
+								// Defend against cloned attroperties (jQuery gh-1709)
+								uniqueCache = outerCache[ node.uniqueID ] ||
+									(outerCache[ node.uniqueID ] = {});
+
+								cache = uniqueCache[ type ] || [];
+								nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+								diff = nodeIndex;
+							}
+
+							// xml :nth-child(...)
+							// or :nth-last-child(...) or :nth(-last)?-of-type(...)
+							if ( diff === false ) {
+								// Use the same loop as above to seek `elem` from the start
+								while ( (node = ++nodeIndex && node && node[ dir ] ||
+									(diff = nodeIndex = 0) || start.pop()) ) {
+
+									if ( ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) &&
+										++diff ) {
+
+										// Cache the index of each encountered element
+										if ( useCache ) {
+											outerCache = node[ expando ] || (node[ expando ] = {});
+
+											// Support: IE <9 only
+											// Defend against cloned attroperties (jQuery gh-1709)
+											uniqueCache = outerCache[ node.uniqueID ] ||
+												(outerCache[ node.uniqueID ] = {});
+
+											uniqueCache[ type ] = [ dirruns, diff ];
+										}
+
+										if ( node === elem ) {
+											break;
+										}
+									}
+								}
+							}
+						}
+
+						// Incorporate the offset, then check against cycle size
+						diff -= last;
+						return diff === first || ( diff % first === 0 && diff / first >= 0 );
+					}
+				};
+		},
+
+		"PSEUDO": function( pseudo, argument ) {
+			// pseudo-class names are case-insensitive
+			// http://www.w3.org/TR/selectors/#pseudo-classes
+			// Prioritize by case sensitivity in case custom pseudos are added with uppercase letters
+			// Remember that setFilters inherits from pseudos
+			var args,
+				fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] ||
+					Sizzle.error( "unsupported pseudo: " + pseudo );
+
+			// The user may use createPseudo to indicate that
+			// arguments are needed to create the filter function
+			// just as Sizzle does
+			if ( fn[ expando ] ) {
+				return fn( argument );
+			}
+
+			// But maintain support for old signatures
+			if ( fn.length > 1 ) {
+				args = [ pseudo, pseudo, "", argument ];
+				return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ?
+					markFunction(function( seed, matches ) {
+						var idx,
+							matched = fn( seed, argument ),
+							i = matched.length;
+						while ( i-- ) {
+							idx = indexOf( seed, matched[i] );
+							seed[ idx ] = !( matches[ idx ] = matched[i] );
+						}
+					}) :
+					function( elem ) {
+						return fn( elem, 0, args );
+					};
+			}
+
+			return fn;
+		}
+	},
+
+	pseudos: {
+		// Potentially complex pseudos
+		"not": markFunction(function( selector ) {
+			// Trim the selector passed to compile
+			// to avoid treating leading and trailing
+			// spaces as combinators
+			var input = [],
+				results = [],
+				matcher = compile( selector.replace( rtrim, "$1" ) );
+
+			return matcher[ expando ] ?
+				markFunction(function( seed, matches, context, xml ) {
+					var elem,
+						unmatched = matcher( seed, null, xml, [] ),
+						i = seed.length;
+
+					// Match elements unmatched by `matcher`
+					while ( i-- ) {
+						if ( (elem = unmatched[i]) ) {
+							seed[i] = !(matches[i] = elem);
+						}
+					}
+				}) :
+				function( elem, context, xml ) {
+					input[0] = elem;
+					matcher( input, null, xml, results );
+					// Don't keep the element (issue #299)
+					input[0] = null;
+					return !results.pop();
+				};
+		}),
+
+		"has": markFunction(function( selector ) {
+			return function( elem ) {
+				return Sizzle( selector, elem ).length > 0;
+			};
+		}),
+
+		"contains": markFunction(function( text ) {
+			text = text.replace( runescape, funescape );
+			return function( elem ) {
+				return ( elem.textContent || elem.innerText || getText( elem ) ).indexOf( text ) > -1;
+			};
+		}),
+
+		// "Whether an element is represented by a :lang() selector
+		// is based solely on the element's language value
+		// being equal to the identifier C,
+		// or beginning with the identifier C immediately followed by "-".
+		// The matching of C against the element's language value is performed case-insensitively.
+		// The identifier C does not have to be a valid language name."
+		// http://www.w3.org/TR/selectors/#lang-pseudo
+		"lang": markFunction( function( lang ) {
+			// lang value must be a valid identifier
+			if ( !ridentifier.test(lang || "") ) {
+				Sizzle.error( "unsupported lang: " + lang );
+			}
+			lang = lang.replace( runescape, funescape ).toLowerCase();
+			return function( elem ) {
+				var elemLang;
+				do {
+					if ( (elemLang = documentIsHTML ?
+						elem.lang :
+						elem.getAttribute("xml:lang") || elem.getAttribute("lang")) ) {
+
+						elemLang = elemLang.toLowerCase();
+						return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0;
+					}
+				} while ( (elem = elem.parentNode) && elem.nodeType === 1 );
+				return false;
+			};
+		}),
+
+		// Miscellaneous
+		"target": function( elem ) {
+			var hash = window.location && window.location.hash;
+			return hash && hash.slice( 1 ) === elem.id;
+		},
+
+		"root": function( elem ) {
+			return elem === docElem;
+		},
+
+		"focus": function( elem ) {
+			return elem === document.activeElement && (!document.hasFocus || document.hasFocus()) && !!(elem.type || elem.href || ~elem.tabIndex);
+		},
+
+		// Boolean properties
+		"enabled": createDisabledPseudo( false ),
+		"disabled": createDisabledPseudo( true ),
+
+		"checked": function( elem ) {
+			// In CSS3, :checked should return both checked and selected elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			var nodeName = elem.nodeName.toLowerCase();
+			return (nodeName === "input" && !!elem.checked) || (nodeName === "option" && !!elem.selected);
+		},
+
+		"selected": function( elem ) {
+			// Accessing this property makes selected-by-default
+			// options in Safari work properly
+			if ( elem.parentNode ) {
+				elem.parentNode.selectedIndex;
+			}
+
+			return elem.selected === true;
+		},
+
+		// Contents
+		"empty": function( elem ) {
+			// http://www.w3.org/TR/selectors/#empty-pseudo
+			// :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5),
+			//   but not by others (comment: 8; processing instruction: 7; etc.)
+			// nodeType < 6 works because attributes (2) do not appear as children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				if ( elem.nodeType < 6 ) {
+					return false;
+				}
+			}
+			return true;
+		},
+
+		"parent": function( elem ) {
+			return !Expr.pseudos["empty"]( elem );
+		},
+
+		// Element/input types
+		"header": function( elem ) {
+			return rheader.test( elem.nodeName );
+		},
+
+		"input": function( elem ) {
+			return rinputs.test( elem.nodeName );
+		},
+
+		"button": function( elem ) {
+			var name = elem.nodeName.toLowerCase();
+			return name === "input" && elem.type === "button" || name === "button";
+		},
+
+		"text": function( elem ) {
+			var attr;
+			return elem.nodeName.toLowerCase() === "input" &&
+				elem.type === "text" &&
+
+				// Support: IE<8
+				// New HTML5 attribute values (e.g., "search") appear with elem.type === "text"
+				( (attr = elem.getAttribute("type")) == null || attr.toLowerCase() === "text" );
+		},
+
+		// Position-in-collection
+		"first": createPositionalPseudo(function() {
+			return [ 0 ];
+		}),
+
+		"last": createPositionalPseudo(function( matchIndexes, length ) {
+			return [ length - 1 ];
+		}),
+
+		"eq": createPositionalPseudo(function( matchIndexes, length, argument ) {
+			return [ argument < 0 ? argument + length : argument ];
+		}),
+
+		"even": createPositionalPseudo(function( matchIndexes, length ) {
+			var i = 0;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		}),
+
+		"odd": createPositionalPseudo(function( matchIndexes, length ) {
+			var i = 1;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		}),
+
+		"lt": createPositionalPseudo(function( matchIndexes, length, argument ) {
+			var i = argument < 0 ? argument + length : argument;
+			for ( ; --i >= 0; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		}),
+
+		"gt": createPositionalPseudo(function( matchIndexes, length, argument ) {
+			var i = argument < 0 ? argument + length : argument;
+			for ( ; ++i < length; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		})
+	}
+};
+
+Expr.pseudos["nth"] = Expr.pseudos["eq"];
+
+// Add button/input type pseudos
+for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) {
+	Expr.pseudos[ i ] = createInputPseudo( i );
+}
+for ( i in { submit: true, reset: true } ) {
+	Expr.pseudos[ i ] = createButtonPseudo( i );
+}
+
+// Easy API for creating new setFilters
+function setFilters() {}
+setFilters.prototype = Expr.filters = Expr.pseudos;
+Expr.setFilters = new setFilters();
+
+tokenize = Sizzle.tokenize = function( selector, parseOnly ) {
+	var matched, match, tokens, type,
+		soFar, groups, preFilters,
+		cached = tokenCache[ selector + " " ];
+
+	if ( cached ) {
+		return parseOnly ? 0 : cached.slice( 0 );
+	}
+
+	soFar = selector;
+	groups = [];
+	preFilters = Expr.preFilter;
+
+	while ( soFar ) {
+
+		// Comma and first run
+		if ( !matched || (match = rcomma.exec( soFar )) ) {
+			if ( match ) {
+				// Don't consume trailing commas as valid
+				soFar = soFar.slice( match[0].length ) || soFar;
+			}
+			groups.push( (tokens = []) );
+		}
+
+		matched = false;
+
+		// Combinators
+		if ( (match = rcombinators.exec( soFar )) ) {
+			matched = match.shift();
+			tokens.push({
+				value: matched,
+				// Cast descendant combinators to space
+				type: match[0].replace( rtrim, " " )
+			});
+			soFar = soFar.slice( matched.length );
+		}
+
+		// Filters
+		for ( type in Expr.filter ) {
+			if ( (match = matchExpr[ type ].exec( soFar )) && (!preFilters[ type ] ||
+				(match = preFilters[ type ]( match ))) ) {
+				matched = match.shift();
+				tokens.push({
+					value: matched,
+					type: type,
+					matches: match
+				});
+				soFar = soFar.slice( matched.length );
+			}
+		}
+
+		if ( !matched ) {
+			break;
+		}
+	}
+
+	// Return the length of the invalid excess
+	// if we're just parsing
+	// Otherwise, throw an error or return tokens
+	return parseOnly ?
+		soFar.length :
+		soFar ?
+			Sizzle.error( selector ) :
+			// Cache the tokens
+			tokenCache( selector, groups ).slice( 0 );
+};
+
+function toSelector( tokens ) {
+	var i = 0,
+		len = tokens.length,
+		selector = "";
+	for ( ; i < len; i++ ) {
+		selector += tokens[i].value;
+	}
+	return selector;
+}
+
+function addCombinator( matcher, combinator, base ) {
+	var dir = combinator.dir,
+		skip = combinator.next,
+		key = skip || dir,
+		checkNonElements = base && key === "parentNode",
+		doneName = done++;
+
+	return combinator.first ?
+		// Check against closest ancestor/preceding element
+		function( elem, context, xml ) {
+			while ( (elem = elem[ dir ]) ) {
+				if ( elem.nodeType === 1 || checkNonElements ) {
+					return matcher( elem, context, xml );
+				}
+			}
+			return false;
+		} :
+
+		// Check against all ancestor/preceding elements
+		function( elem, context, xml ) {
+			var oldCache, uniqueCache, outerCache,
+				newCache = [ dirruns, doneName ];
+
+			// We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching
+			if ( xml ) {
+				while ( (elem = elem[ dir ]) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						if ( matcher( elem, context, xml ) ) {
+							return true;
+						}
+					}
+				}
+			} else {
+				while ( (elem = elem[ dir ]) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						outerCache = elem[ expando ] || (elem[ expando ] = {});
+
+						// Support: IE <9 only
+						// Defend against cloned attroperties (jQuery gh-1709)
+						uniqueCache = outerCache[ elem.uniqueID ] || (outerCache[ elem.uniqueID ] = {});
+
+						if ( skip && skip === elem.nodeName.toLowerCase() ) {
+							elem = elem[ dir ] || elem;
+						} else if ( (oldCache = uniqueCache[ key ]) &&
+							oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) {
+
+							// Assign to newCache so results back-propagate to previous elements
+							return (newCache[ 2 ] = oldCache[ 2 ]);
+						} else {
+							// Reuse newcache so results back-propagate to previous elements
+							uniqueCache[ key ] = newCache;
+
+							// A match means we're done; a fail means we have to keep checking
+							if ( (newCache[ 2 ] = matcher( elem, context, xml )) ) {
+								return true;
+							}
+						}
+					}
+				}
+			}
+			return false;
+		};
+}
+
+function elementMatcher( matchers ) {
+	return matchers.length > 1 ?
+		function( elem, context, xml ) {
+			var i = matchers.length;
+			while ( i-- ) {
+				if ( !matchers[i]( elem, context, xml ) ) {
+					return false;
+				}
+			}
+			return true;
+		} :
+		matchers[0];
+}
+
+function multipleContexts( selector, contexts, results ) {
+	var i = 0,
+		len = contexts.length;
+	for ( ; i < len; i++ ) {
+		Sizzle( selector, contexts[i], results );
+	}
+	return results;
+}
+
+function condense( unmatched, map, filter, context, xml ) {
+	var elem,
+		newUnmatched = [],
+		i = 0,
+		len = unmatched.length,
+		mapped = map != null;
+
+	for ( ; i < len; i++ ) {
+		if ( (elem = unmatched[i]) ) {
+			if ( !filter || filter( elem, context, xml ) ) {
+				newUnmatched.push( elem );
+				if ( mapped ) {
+					map.push( i );
+				}
+			}
+		}
+	}
+
+	return newUnmatched;
+}
+
+function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) {
+	if ( postFilter && !postFilter[ expando ] ) {
+		postFilter = setMatcher( postFilter );
+	}
+	if ( postFinder && !postFinder[ expando ] ) {
+		postFinder = setMatcher( postFinder, postSelector );
+	}
+	return markFunction(function( seed, results, context, xml ) {
+		var temp, i, elem,
+			preMap = [],
+			postMap = [],
+			preexisting = results.length,
+
+			// Get initial elements from seed or context
+			elems = seed || multipleContexts( selector || "*", context.nodeType ? [ context ] : context, [] ),
+
+			// Prefilter to get matcher input, preserving a map for seed-results synchronization
+			matcherIn = preFilter && ( seed || !selector ) ?
+				condense( elems, preMap, preFilter, context, xml ) :
+				elems,
+
+			matcherOut = matcher ?
+				// If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results,
+				postFinder || ( seed ? preFilter : preexisting || postFilter ) ?
+
+					// ...intermediate processing is necessary
+					[] :
+
+					// ...otherwise use results directly
+					results :
+				matcherIn;
+
+		// Find primary matches
+		if ( matcher ) {
+			matcher( matcherIn, matcherOut, context, xml );
+		}
+
+		// Apply postFilter
+		if ( postFilter ) {
+			temp = condense( matcherOut, postMap );
+			postFilter( temp, [], context, xml );
+
+			// Un-match failing elements by moving them back to matcherIn
+			i = temp.length;
+			while ( i-- ) {
+				if ( (elem = temp[i]) ) {
+					matcherOut[ postMap[i] ] = !(matcherIn[ postMap[i] ] = elem);
+				}
+			}
+		}
+
+		if ( seed ) {
+			if ( postFinder || preFilter ) {
+				if ( postFinder ) {
+					// Get the final matcherOut by condensing this intermediate into postFinder contexts
+					temp = [];
+					i = matcherOut.length;
+					while ( i-- ) {
+						if ( (elem = matcherOut[i]) ) {
+							// Restore matcherIn since elem is not yet a final match
+							temp.push( (matcherIn[i] = elem) );
+						}
+					}
+					postFinder( null, (matcherOut = []), temp, xml );
+				}
+
+				// Move matched elements from seed to results to keep them synchronized
+				i = matcherOut.length;
+				while ( i-- ) {
+					if ( (elem = matcherOut[i]) &&
+						(temp = postFinder ? indexOf( seed, elem ) : preMap[i]) > -1 ) {
+
+						seed[temp] = !(results[temp] = elem);
+					}
+				}
+			}
+
+		// Add elements to results, through postFinder if defined
+		} else {
+			matcherOut = condense(
+				matcherOut === results ?
+					matcherOut.splice( preexisting, matcherOut.length ) :
+					matcherOut
+			);
+			if ( postFinder ) {
+				postFinder( null, results, matcherOut, xml );
+			} else {
+				push.apply( results, matcherOut );
+			}
+		}
+	});
+}
+
+function matcherFromTokens( tokens ) {
+	var checkContext, matcher, j,
+		len = tokens.length,
+		leadingRelative = Expr.relative[ tokens[0].type ],
+		implicitRelative = leadingRelative || Expr.relative[" "],
+		i = leadingRelative ? 1 : 0,
+
+		// The foundational matcher ensures that elements are reachable from top-level context(s)
+		matchContext = addCombinator( function( elem ) {
+			return elem === checkContext;
+		}, implicitRelative, true ),
+		matchAnyContext = addCombinator( function( elem ) {
+			return indexOf( checkContext, elem ) > -1;
+		}, implicitRelative, true ),
+		matchers = [ function( elem, context, xml ) {
+			var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || (
+				(checkContext = context).nodeType ?
+					matchContext( elem, context, xml ) :
+					matchAnyContext( elem, context, xml ) );
+			// Avoid hanging onto element (issue #299)
+			checkContext = null;
+			return ret;
+		} ];
+
+	for ( ; i < len; i++ ) {
+		if ( (matcher = Expr.relative[ tokens[i].type ]) ) {
+			matchers = [ addCombinator(elementMatcher( matchers ), matcher) ];
+		} else {
+			matcher = Expr.filter[ tokens[i].type ].apply( null, tokens[i].matches );
+
+			// Return special upon seeing a positional matcher
+			if ( matcher[ expando ] ) {
+				// Find the next relative operator (if any) for proper handling
+				j = ++i;
+				for ( ; j < len; j++ ) {
+					if ( Expr.relative[ tokens[j].type ] ) {
+						break;
+					}
+				}
+				return setMatcher(
+					i > 1 && elementMatcher( matchers ),
+					i > 1 && toSelector(
+						// If the preceding token was a descendant combinator, insert an implicit any-element `*`
+						tokens.slice( 0, i - 1 ).concat({ value: tokens[ i - 2 ].type === " " ? "*" : "" })
+					).replace( rtrim, "$1" ),
+					matcher,
+					i < j && matcherFromTokens( tokens.slice( i, j ) ),
+					j < len && matcherFromTokens( (tokens = tokens.slice( j )) ),
+					j < len && toSelector( tokens )
+				);
+			}
+			matchers.push( matcher );
+		}
+	}
+
+	return elementMatcher( matchers );
+}
+
+function matcherFromGroupMatchers( elementMatchers, setMatchers ) {
+	var bySet = setMatchers.length > 0,
+		byElement = elementMatchers.length > 0,
+		superMatcher = function( seed, context, xml, results, outermost ) {
+			var elem, j, matcher,
+				matchedCount = 0,
+				i = "0",
+				unmatched = seed && [],
+				setMatched = [],
+				contextBackup = outermostContext,
+				// We must always have either seed elements or outermost context
+				elems = seed || byElement && Expr.find["TAG"]( "*", outermost ),
+				// Use integer dirruns iff this is the outermost matcher
+				dirrunsUnique = (dirruns += contextBackup == null ? 1 : Math.random() || 0.1),
+				len = elems.length;
+
+			if ( outermost ) {
+				outermostContext = context === document || context || outermost;
+			}
+
+			// Add elements passing elementMatchers directly to results
+			// Support: IE<9, Safari
+			// Tolerate NodeList properties (IE: "length"; Safari: <number>) matching elements by id
+			for ( ; i !== len && (elem = elems[i]) != null; i++ ) {
+				if ( byElement && elem ) {
+					j = 0;
+					if ( !context && elem.ownerDocument !== document ) {
+						setDocument( elem );
+						xml = !documentIsHTML;
+					}
+					while ( (matcher = elementMatchers[j++]) ) {
+						if ( matcher( elem, context || document, xml) ) {
+							results.push( elem );
+							break;
+						}
+					}
+					if ( outermost ) {
+						dirruns = dirrunsUnique;
+					}
+				}
+
+				// Track unmatched elements for set filters
+				if ( bySet ) {
+					// They will have gone through all possible matchers
+					if ( (elem = !matcher && elem) ) {
+						matchedCount--;
+					}
+
+					// Lengthen the array for every element, matched or not
+					if ( seed ) {
+						unmatched.push( elem );
+					}
+				}
+			}
+
+			// `i` is now the count of elements visited above, and adding it to `matchedCount`
+			// makes the latter nonnegative.
+			matchedCount += i;
+
+			// Apply set filters to unmatched elements
+			// NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount`
+			// equals `i`), unless we didn't visit _any_ elements in the above loop because we have
+			// no element matchers and no seed.
+			// Incrementing an initially-string "0" `i` allows `i` to remain a string only in that
+			// case, which will result in a "00" `matchedCount` that differs from `i` but is also
+			// numerically zero.
+			if ( bySet && i !== matchedCount ) {
+				j = 0;
+				while ( (matcher = setMatchers[j++]) ) {
+					matcher( unmatched, setMatched, context, xml );
+				}
+
+				if ( seed ) {
+					// Reintegrate element matches to eliminate the need for sorting
+					if ( matchedCount > 0 ) {
+						while ( i-- ) {
+							if ( !(unmatched[i] || setMatched[i]) ) {
+								setMatched[i] = pop.call( results );
+							}
+						}
+					}
+
+					// Discard index placeholder values to get only actual matches
+					setMatched = condense( setMatched );
+				}
+
+				// Add matches to results
+				push.apply( results, setMatched );
+
+				// Seedless set matches succeeding multiple successful matchers stipulate sorting
+				if ( outermost && !seed && setMatched.length > 0 &&
+					( matchedCount + setMatchers.length ) > 1 ) {
+
+					Sizzle.uniqueSort( results );
+				}
+			}
+
+			// Override manipulation of globals by nested matchers
+			if ( outermost ) {
+				dirruns = dirrunsUnique;
+				outermostContext = contextBackup;
+			}
+
+			return unmatched;
+		};
+
+	return bySet ?
+		markFunction( superMatcher ) :
+		superMatcher;
+}
+
+compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) {
+	var i,
+		setMatchers = [],
+		elementMatchers = [],
+		cached = compilerCache[ selector + " " ];
+
+	if ( !cached ) {
+		// Generate a function of recursive functions that can be used to check each element
+		if ( !match ) {
+			match = tokenize( selector );
+		}
+		i = match.length;
+		while ( i-- ) {
+			cached = matcherFromTokens( match[i] );
+			if ( cached[ expando ] ) {
+				setMatchers.push( cached );
+			} else {
+				elementMatchers.push( cached );
+			}
+		}
+
+		// Cache the compiled function
+		cached = compilerCache( selector, matcherFromGroupMatchers( elementMatchers, setMatchers ) );
+
+		// Save selector and tokenization
+		cached.selector = selector;
+	}
+	return cached;
+};
+
+/**
+ * A low-level selection function that works with Sizzle's compiled
+ *  selector functions
+ * @param {String|Function} selector A selector or a pre-compiled
+ *  selector function built with Sizzle.compile
+ * @param {Element} context
+ * @param {Array} [results]
+ * @param {Array} [seed] A set of elements to match against
+ */
+select = Sizzle.select = function( selector, context, results, seed ) {
+	var i, tokens, token, type, find,
+		compiled = typeof selector === "function" && selector,
+		match = !seed && tokenize( (selector = compiled.selector || selector) );
+
+	results = results || [];
+
+	// Try to minimize operations if there is only one selector in the list and no seed
+	// (the latter of which guarantees us context)
+	if ( match.length === 1 ) {
+
+		// Reduce context if the leading compound selector is an ID
+		tokens = match[0] = match[0].slice( 0 );
+		if ( tokens.length > 2 && (token = tokens[0]).type === "ID" &&
+				context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[1].type ] ) {
+
+			context = ( Expr.find["ID"]( token.matches[0].replace(runescape, funescape), context ) || [] )[0];
+			if ( !context ) {
+				return results;
+
+			// Precompiled matchers will still verify ancestry, so step up a level
+			} else if ( compiled ) {
+				context = context.parentNode;
+			}
+
+			selector = selector.slice( tokens.shift().value.length );
+		}
+
+		// Fetch a seed set for right-to-left matching
+		i = matchExpr["needsContext"].test( selector ) ? 0 : tokens.length;
+		while ( i-- ) {
+			token = tokens[i];
+
+			// Abort if we hit a combinator
+			if ( Expr.relative[ (type = token.type) ] ) {
+				break;
+			}
+			if ( (find = Expr.find[ type ]) ) {
+				// Search, expanding context for leading sibling combinators
+				if ( (seed = find(
+					token.matches[0].replace( runescape, funescape ),
+					rsibling.test( tokens[0].type ) && testContext( context.parentNode ) || context
+				)) ) {
+
+					// If seed is empty or no tokens remain, we can return early
+					tokens.splice( i, 1 );
+					selector = seed.length && toSelector( tokens );
+					if ( !selector ) {
+						push.apply( results, seed );
+						return results;
+					}
+
+					break;
+				}
+			}
+		}
+	}
+
+	// Compile and execute a filtering function if one is not provided
+	// Provide `match` to avoid retokenization if we modified the selector above
+	( compiled || compile( selector, match ) )(
+		seed,
+		context,
+		!documentIsHTML,
+		results,
+		!context || rsibling.test( selector ) && testContext( context.parentNode ) || context
+	);
+	return results;
+};
+
+// One-time assignments
+
+// Sort stability
+support.sortStable = expando.split("").sort( sortOrder ).join("") === expando;
+
+// Support: Chrome 14-35+
+// Always assume duplicates if they aren't passed to the comparison function
+support.detectDuplicates = !!hasDuplicate;
+
+// Initialize against the default document
+setDocument();
+
+// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27)
+// Detached nodes confoundingly follow *each other*
+support.sortDetached = assert(function( el ) {
+	// Should return 1, but returns 4 (following)
+	return el.compareDocumentPosition( document.createElement("fieldset") ) & 1;
+});
+
+// Support: IE<8
+// Prevent attribute/property "interpolation"
+// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx
+if ( !assert(function( el ) {
+	el.innerHTML = "<a href='#'></a>";
+	return el.firstChild.getAttribute("href") === "#" ;
+}) ) {
+	addHandle( "type|href|height|width", function( elem, name, isXML ) {
+		if ( !isXML ) {
+			return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 );
+		}
+	});
+}
+
+// Support: IE<9
+// Use defaultValue in place of getAttribute("value")
+if ( !support.attributes || !assert(function( el ) {
+	el.innerHTML = "<input/>";
+	el.firstChild.setAttribute( "value", "" );
+	return el.firstChild.getAttribute( "value" ) === "";
+}) ) {
+	addHandle( "value", function( elem, name, isXML ) {
+		if ( !isXML && elem.nodeName.toLowerCase() === "input" ) {
+			return elem.defaultValue;
+		}
+	});
+}
+
+// Support: IE<9
+// Use getAttributeNode to fetch booleans when getAttribute lies
+if ( !assert(function( el ) {
+	return el.getAttribute("disabled") == null;
+}) ) {
+	addHandle( booleans, function( elem, name, isXML ) {
+		var val;
+		if ( !isXML ) {
+			return elem[ name ] === true ? name.toLowerCase() :
+					(val = elem.getAttributeNode( name )) && val.specified ?
+					val.value :
+				null;
+		}
+	});
+}
+
+return Sizzle;
+
+})( window );
+
+
+
+jQuery.find = Sizzle;
+jQuery.expr = Sizzle.selectors;
+
+// Deprecated
+jQuery.expr[ ":" ] = jQuery.expr.pseudos;
+jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort;
+jQuery.text = Sizzle.getText;
+jQuery.isXMLDoc = Sizzle.isXML;
+jQuery.contains = Sizzle.contains;
+jQuery.escapeSelector = Sizzle.escape;
+
+
+
+
+var dir = function( elem, dir, until ) {
+	var matched = [],
+		truncate = until !== undefined;
+
+	while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) {
+		if ( elem.nodeType === 1 ) {
+			if ( truncate && jQuery( elem ).is( until ) ) {
+				break;
+			}
+			matched.push( elem );
+		}
+	}
+	return matched;
+};
+
+
+var siblings = function( n, elem ) {
+	var matched = [];
+
+	for ( ; n; n = n.nextSibling ) {
+		if ( n.nodeType === 1 && n !== elem ) {
+			matched.push( n );
+		}
+	}
+
+	return matched;
+};
+
+
+var rneedsContext = jQuery.expr.match.needsContext;
+
+
+
+function nodeName( elem, name ) {
+
+  return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
+
+};
+var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i );
+
+
+
+var risSimple = /^.[^:#\[\.,]*$/;
+
+// Implement the identical functionality for filter and not
+function winnow( elements, qualifier, not ) {
+	if ( jQuery.isFunction( qualifier ) ) {
+		return jQuery.grep( elements, function( elem, i ) {
+			return !!qualifier.call( elem, i, elem ) !== not;
+		} );
+	}
+
+	// Single element
+	if ( qualifier.nodeType ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( elem === qualifier ) !== not;
+		} );
+	}
+
+	// Arraylike of elements (jQuery, arguments, Array)
+	if ( typeof qualifier !== "string" ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( indexOf.call( qualifier, elem ) > -1 ) !== not;
+		} );
+	}
+
+	// Simple selector that can be filtered directly, removing non-Elements
+	if ( risSimple.test( qualifier ) ) {
+		return jQuery.filter( qualifier, elements, not );
+	}
+
+	// Complex selector, compare the two sets, removing non-Elements
+	qualifier = jQuery.filter( qualifier, elements );
+	return jQuery.grep( elements, function( elem ) {
+		return ( indexOf.call( qualifier, elem ) > -1 ) !== not && elem.nodeType === 1;
+	} );
+}
+
+jQuery.filter = function( expr, elems, not ) {
+	var elem = elems[ 0 ];
+
+	if ( not ) {
+		expr = ":not(" + expr + ")";
+	}
+
+	if ( elems.length === 1 && elem.nodeType === 1 ) {
+		return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [];
+	}
+
+	return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) {
+		return elem.nodeType === 1;
+	} ) );
+};
+
+jQuery.fn.extend( {
+	find: function( selector ) {
+		var i, ret,
+			len = this.length,
+			self = this;
+
+		if ( typeof selector !== "string" ) {
+			return this.pushStack( jQuery( selector ).filter( function() {
+				for ( i = 0; i < len; i++ ) {
+					if ( jQuery.contains( self[ i ], this ) ) {
+						return true;
+					}
+				}
+			} ) );
+		}
+
+		ret = this.pushStack( [] );
+
+		for ( i = 0; i < len; i++ ) {
+			jQuery.find( selector, self[ i ], ret );
+		}
+
+		return len > 1 ? jQuery.uniqueSort( ret ) : ret;
+	},
+	filter: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], false ) );
+	},
+	not: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], true ) );
+	},
+	is: function( selector ) {
+		return !!winnow(
+			this,
+
+			// If this is a positional/relative selector, check membership in the returned set
+			// so $("p:first").is("p:last") won't return true for a doc with two "p".
+			typeof selector === "string" && rneedsContext.test( selector ) ?
+				jQuery( selector ) :
+				selector || [],
+			false
+		).length;
+	}
+} );
+
+
+// Initialize a jQuery object
+
+
+// A central reference to the root jQuery(document)
+var rootjQuery,
+
+	// A simple way to check for HTML strings
+	// Prioritize #id over <tag> to avoid XSS via location.hash (#9521)
+	// Strict HTML recognition (#11290: must start with <)
+	// Shortcut simple #id case for speed
+	rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/,
+
+	init = jQuery.fn.init = function( selector, context, root ) {
+		var match, elem;
+
+		// HANDLE: $(""), $(null), $(undefined), $(false)
+		if ( !selector ) {
+			return this;
+		}
+
+		// Method init() accepts an alternate rootjQuery
+		// so migrate can support jQuery.sub (gh-2101)
+		root = root || rootjQuery;
+
+		// Handle HTML strings
+		if ( typeof selector === "string" ) {
+			if ( selector[ 0 ] === "<" &&
+				selector[ selector.length - 1 ] === ">" &&
+				selector.length >= 3 ) {
+
+				// Assume that strings that start and end with <> are HTML and skip the regex check
+				match = [ null, selector, null ];
+
+			} else {
+				match = rquickExpr.exec( selector );
+			}
+
+			// Match html or make sure no context is specified for #id
+			if ( match && ( match[ 1 ] || !context ) ) {
+
+				// HANDLE: $(html) -> $(array)
+				if ( match[ 1 ] ) {
+					context = context instanceof jQuery ? context[ 0 ] : context;
+
+					// Option to run scripts is true for back-compat
+					// Intentionally let the error be thrown if parseHTML is not present
+					jQuery.merge( this, jQuery.parseHTML(
+						match[ 1 ],
+						context && context.nodeType ? context.ownerDocument || context : document,
+						true
+					) );
+
+					// HANDLE: $(html, props)
+					if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) {
+						for ( match in context ) {
+
+							// Properties of context are called as methods if possible
+							if ( jQuery.isFunction( this[ match ] ) ) {
+								this[ match ]( context[ match ] );
+
+							// ...and otherwise set as attributes
+							} else {
+								this.attr( match, context[ match ] );
+							}
+						}
+					}
+
+					return this;
+
+				// HANDLE: $(#id)
+				} else {
+					elem = document.getElementById( match[ 2 ] );
+
+					if ( elem ) {
+
+						// Inject the element directly into the jQuery object
+						this[ 0 ] = elem;
+						this.length = 1;
+					}
+					return this;
+				}
+
+			// HANDLE: $(expr, $(...))
+			} else if ( !context || context.jquery ) {
+				return ( context || root ).find( selector );
+
+			// HANDLE: $(expr, context)
+			// (which is just equivalent to: $(context).find(expr)
+			} else {
+				return this.constructor( context ).find( selector );
+			}
+
+		// HANDLE: $(DOMElement)
+		} else if ( selector.nodeType ) {
+			this[ 0 ] = selector;
+			this.length = 1;
+			return this;
+
+		// HANDLE: $(function)
+		// Shortcut for document ready
+		} else if ( jQuery.isFunction( selector ) ) {
+			return root.ready !== undefined ?
+				root.ready( selector ) :
+
+				// Execute immediately if ready is not present
+				selector( jQuery );
+		}
+
+		return jQuery.makeArray( selector, this );
+	};
+
+// Give the init function the jQuery prototype for later instantiation
+init.prototype = jQuery.fn;
+
+// Initialize central reference
+rootjQuery = jQuery( document );
+
+
+var rparentsprev = /^(?:parents|prev(?:Until|All))/,
+
+	// Methods guaranteed to produce a unique set when starting from a unique set
+	guaranteedUnique = {
+		children: true,
+		contents: true,
+		next: true,
+		prev: true
+	};
+
+jQuery.fn.extend( {
+	has: function( target ) {
+		var targets = jQuery( target, this ),
+			l = targets.length;
+
+		return this.filter( function() {
+			var i = 0;
+			for ( ; i < l; i++ ) {
+				if ( jQuery.contains( this, targets[ i ] ) ) {
+					return true;
+				}
+			}
+		} );
+	},
+
+	closest: function( selectors, context ) {
+		var cur,
+			i = 0,
+			l = this.length,
+			matched = [],
+			targets = typeof selectors !== "string" && jQuery( selectors );
+
+		// Positional selectors never match, since there's no _selection_ context
+		if ( !rneedsContext.test( selectors ) ) {
+			for ( ; i < l; i++ ) {
+				for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) {
+
+					// Always skip document fragments
+					if ( cur.nodeType < 11 && ( targets ?
+						targets.index( cur ) > -1 :
+
+						// Don't pass non-elements to Sizzle
+						cur.nodeType === 1 &&
+							jQuery.find.matchesSelector( cur, selectors ) ) ) {
+
+						matched.push( cur );
+						break;
+					}
+				}
+			}
+		}
+
+		return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched );
+	},
+
+	// Determine the position of an element within the set
+	index: function( elem ) {
+
+		// No argument, return index in parent
+		if ( !elem ) {
+			return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1;
+		}
+
+		// Index in selector
+		if ( typeof elem === "string" ) {
+			return indexOf.call( jQuery( elem ), this[ 0 ] );
+		}
+
+		// Locate the position of the desired element
+		return indexOf.call( this,
+
+			// If it receives a jQuery object, the first element is used
+			elem.jquery ? elem[ 0 ] : elem
+		);
+	},
+
+	add: function( selector, context ) {
+		return this.pushStack(
+			jQuery.uniqueSort(
+				jQuery.merge( this.get(), jQuery( selector, context ) )
+			)
+		);
+	},
+
+	addBack: function( selector ) {
+		return this.add( selector == null ?
+			this.prevObject : this.prevObject.filter( selector )
+		);
+	}
+} );
+
+function sibling( cur, dir ) {
+	while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {}
+	return cur;
+}
+
+jQuery.each( {
+	parent: function( elem ) {
+		var parent = elem.parentNode;
+		return parent && parent.nodeType !== 11 ? parent : null;
+	},
+	parents: function( elem ) {
+		return dir( elem, "parentNode" );
+	},
+	parentsUntil: function( elem, i, until ) {
+		return dir( elem, "parentNode", until );
+	},
+	next: function( elem ) {
+		return sibling( elem, "nextSibling" );
+	},
+	prev: function( elem ) {
+		return sibling( elem, "previousSibling" );
+	},
+	nextAll: function( elem ) {
+		return dir( elem, "nextSibling" );
+	},
+	prevAll: function( elem ) {
+		return dir( elem, "previousSibling" );
+	},
+	nextUntil: function( elem, i, until ) {
+		return dir( elem, "nextSibling", until );
+	},
+	prevUntil: function( elem, i, until ) {
+		return dir( elem, "previousSibling", until );
+	},
+	siblings: function( elem ) {
+		return siblings( ( elem.parentNode || {} ).firstChild, elem );
+	},
+	children: function( elem ) {
+		return siblings( elem.firstChild );
+	},
+	contents: function( elem ) {
+        if ( nodeName( elem, "iframe" ) ) {
+            return elem.contentDocument;
+        }
+
+        // Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only
+        // Treat the template element as a regular one in browsers that
+        // don't support it.
+        if ( nodeName( elem, "template" ) ) {
+            elem = elem.content || elem;
+        }
+
+        return jQuery.merge( [], elem.childNodes );
+	}
+}, function( name, fn ) {
+	jQuery.fn[ name ] = function( until, selector ) {
+		var matched = jQuery.map( this, fn, until );
+
+		if ( name.slice( -5 ) !== "Until" ) {
+			selector = until;
+		}
+
+		if ( selector && typeof selector === "string" ) {
+			matched = jQuery.filter( selector, matched );
+		}
+
+		if ( this.length > 1 ) {
+
+			// Remove duplicates
+			if ( !guaranteedUnique[ name ] ) {
+				jQuery.uniqueSort( matched );
+			}
+
+			// Reverse order for parents* and prev-derivatives
+			if ( rparentsprev.test( name ) ) {
+				matched.reverse();
+			}
+		}
+
+		return this.pushStack( matched );
+	};
+} );
+var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g );
+
+
+
+// Convert String-formatted options into Object-formatted ones
+function createOptions( options ) {
+	var object = {};
+	jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) {
+		object[ flag ] = true;
+	} );
+	return object;
+}
+
+/*
+ * Create a callback list using the following parameters:
+ *
+ *	options: an optional list of space-separated options that will change how
+ *			the callback list behaves or a more traditional option object
+ *
+ * By default a callback list will act like an event callback list and can be
+ * "fired" multiple times.
+ *
+ * Possible options:
+ *
+ *	once:			will ensure the callback list can only be fired once (like a Deferred)
+ *
+ *	memory:			will keep track of previous values and will call any callback added
+ *					after the list has been fired right away with the latest "memorized"
+ *					values (like a Deferred)
+ *
+ *	unique:			will ensure a callback can only be added once (no duplicate in the list)
+ *
+ *	stopOnFalse:	interrupt callings when a callback returns false
+ *
+ */
+jQuery.Callbacks = function( options ) {
+
+	// Convert options from String-formatted to Object-formatted if needed
+	// (we check in cache first)
+	options = typeof options === "string" ?
+		createOptions( options ) :
+		jQuery.extend( {}, options );
+
+	var // Flag to know if list is currently firing
+		firing,
+
+		// Last fire value for non-forgettable lists
+		memory,
+
+		// Flag to know if list was already fired
+		fired,
+
+		// Flag to prevent firing
+		locked,
+
+		// Actual callback list
+		list = [],
+
+		// Queue of execution data for repeatable lists
+		queue = [],
+
+		// Index of currently firing callback (modified by add/remove as needed)
+		firingIndex = -1,
+
+		// Fire callbacks
+		fire = function() {
+
+			// Enforce single-firing
+			locked = locked || options.once;
+
+			// Execute callbacks for all pending executions,
+			// respecting firingIndex overrides and runtime changes
+			fired = firing = true;
+			for ( ; queue.length; firingIndex = -1 ) {
+				memory = queue.shift();
+				while ( ++firingIndex < list.length ) {
+
+					// Run callback and check for early termination
+					if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false &&
+						options.stopOnFalse ) {
+
+						// Jump to end and forget the data so .add doesn't re-fire
+						firingIndex = list.length;
+						memory = false;
+					}
+				}
+			}
+
+			// Forget the data if we're done with it
+			if ( !options.memory ) {
+				memory = false;
+			}
+
+			firing = false;
+
+			// Clean up if we're done firing for good
+			if ( locked ) {
+
+				// Keep an empty list if we have data for future add calls
+				if ( memory ) {
+					list = [];
+
+				// Otherwise, this object is spent
+				} else {
+					list = "";
+				}
+			}
+		},
+
+		// Actual Callbacks object
+		self = {
+
+			// Add a callback or a collection of callbacks to the list
+			add: function() {
+				if ( list ) {
+
+					// If we have memory from a past run, we should fire after adding
+					if ( memory && !firing ) {
+						firingIndex = list.length - 1;
+						queue.push( memory );
+					}
+
+					( function add( args ) {
+						jQuery.each( args, function( _, arg ) {
+							if ( jQuery.isFunction( arg ) ) {
+								if ( !options.unique || !self.has( arg ) ) {
+									list.push( arg );
+								}
+							} else if ( arg && arg.length && jQuery.type( arg ) !== "string" ) {
+
+								// Inspect recursively
+								add( arg );
+							}
+						} );
+					} )( arguments );
+
+					if ( memory && !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Remove a callback from the list
+			remove: function() {
+				jQuery.each( arguments, function( _, arg ) {
+					var index;
+					while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) {
+						list.splice( index, 1 );
+
+						// Handle firing indexes
+						if ( index <= firingIndex ) {
+							firingIndex--;
+						}
+					}
+				} );
+				return this;
+			},
+
+			// Check if a given callback is in the list.
+			// If no argument is given, return whether or not list has callbacks attached.
+			has: function( fn ) {
+				return fn ?
+					jQuery.inArray( fn, list ) > -1 :
+					list.length > 0;
+			},
+
+			// Remove all callbacks from the list
+			empty: function() {
+				if ( list ) {
+					list = [];
+				}
+				return this;
+			},
+
+			// Disable .fire and .add
+			// Abort any current/pending executions
+			// Clear all callbacks and values
+			disable: function() {
+				locked = queue = [];
+				list = memory = "";
+				return this;
+			},
+			disabled: function() {
+				return !list;
+			},
+
+			// Disable .fire
+			// Also disable .add unless we have memory (since it would have no effect)
+			// Abort any pending executions
+			lock: function() {
+				locked = queue = [];
+				if ( !memory && !firing ) {
+					list = memory = "";
+				}
+				return this;
+			},
+			locked: function() {
+				return !!locked;
+			},
+
+			// Call all callbacks with the given context and arguments
+			fireWith: function( context, args ) {
+				if ( !locked ) {
+					args = args || [];
+					args = [ context, args.slice ? args.slice() : args ];
+					queue.push( args );
+					if ( !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Call all the callbacks with the given arguments
+			fire: function() {
+				self.fireWith( this, arguments );
+				return this;
+			},
+
+			// To know if the callbacks have already been called at least once
+			fired: function() {
+				return !!fired;
+			}
+		};
+
+	return self;
+};
+
+
+function Identity( v ) {
+	return v;
+}
+function Thrower( ex ) {
+	throw ex;
+}
+
+function adoptValue( value, resolve, reject, noValue ) {
+	var method;
+
+	try {
+
+		// Check for promise aspect first to privilege synchronous behavior
+		if ( value && jQuery.isFunction( ( method = value.promise ) ) ) {
+			method.call( value ).done( resolve ).fail( reject );
+
+		// Other thenables
+		} else if ( value && jQuery.isFunction( ( method = value.then ) ) ) {
+			method.call( value, resolve, reject );
+
+		// Other non-thenables
+		} else {
+
+			// Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer:
+			// * false: [ value ].slice( 0 ) => resolve( value )
+			// * true: [ value ].slice( 1 ) => resolve()
+			resolve.apply( undefined, [ value ].slice( noValue ) );
+		}
+
+	// For Promises/A+, convert exceptions into rejections
+	// Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in
+	// Deferred#then to conditionally suppress rejection.
+	} catch ( value ) {
+
+		// Support: Android 4.0 only
+		// Strict mode functions invoked without .call/.apply get global-object context
+		reject.apply( undefined, [ value ] );
+	}
+}
+
+jQuery.extend( {
+
+	Deferred: function( func ) {
+		var tuples = [
+
+				// action, add listener, callbacks,
+				// ... .then handlers, argument index, [final state]
+				[ "notify", "progress", jQuery.Callbacks( "memory" ),
+					jQuery.Callbacks( "memory" ), 2 ],
+				[ "resolve", "done", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 0, "resolved" ],
+				[ "reject", "fail", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 1, "rejected" ]
+			],
+			state = "pending",
+			promise = {
+				state: function() {
+					return state;
+				},
+				always: function() {
+					deferred.done( arguments ).fail( arguments );
+					return this;
+				},
+				"catch": function( fn ) {
+					return promise.then( null, fn );
+				},
+
+				// Keep pipe for back-compat
+				pipe: function( /* fnDone, fnFail, fnProgress */ ) {
+					var fns = arguments;
+
+					return jQuery.Deferred( function( newDefer ) {
+						jQuery.each( tuples, function( i, tuple ) {
+
+							// Map tuples (progress, done, fail) to arguments (done, fail, progress)
+							var fn = jQuery.isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ];
+
+							// deferred.progress(function() { bind to newDefer or newDefer.notify })
+							// deferred.done(function() { bind to newDefer or newDefer.resolve })
+							// deferred.fail(function() { bind to newDefer or newDefer.reject })
+							deferred[ tuple[ 1 ] ]( function() {
+								var returned = fn && fn.apply( this, arguments );
+								if ( returned && jQuery.isFunction( returned.promise ) ) {
+									returned.promise()
+										.progress( newDefer.notify )
+										.done( newDefer.resolve )
+										.fail( newDefer.reject );
+								} else {
+									newDefer[ tuple[ 0 ] + "With" ](
+										this,
+										fn ? [ returned ] : arguments
+									);
+								}
+							} );
+						} );
+						fns = null;
+					} ).promise();
+				},
+				then: function( onFulfilled, onRejected, onProgress ) {
+					var maxDepth = 0;
+					function resolve( depth, deferred, handler, special ) {
+						return function() {
+							var that = this,
+								args = arguments,
+								mightThrow = function() {
+									var returned, then;
+
+									// Support: Promises/A+ section 2.3.3.3.3
+									// https://promisesaplus.com/#point-59
+									// Ignore double-resolution attempts
+									if ( depth < maxDepth ) {
+										return;
+									}
+
+									returned = handler.apply( that, args );
+
+									// Support: Promises/A+ section 2.3.1
+									// https://promisesaplus.com/#point-48
+									if ( returned === deferred.promise() ) {
+										throw new TypeError( "Thenable self-resolution" );
+									}
+
+									// Support: Promises/A+ sections 2.3.3.1, 3.5
+									// https://promisesaplus.com/#point-54
+									// https://promisesaplus.com/#point-75
+									// Retrieve `then` only once
+									then = returned &&
+
+										// Support: Promises/A+ section 2.3.4
+										// https://promisesaplus.com/#point-64
+										// Only check objects and functions for thenability
+										( typeof returned === "object" ||
+											typeof returned === "function" ) &&
+										returned.then;
+
+									// Handle a returned thenable
+									if ( jQuery.isFunction( then ) ) {
+
+										// Special processors (notify) just wait for resolution
+										if ( special ) {
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special )
+											);
+
+										// Normal processors (resolve) also hook into progress
+										} else {
+
+											// ...and disregard older resolution values
+											maxDepth++;
+
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special ),
+												resolve( maxDepth, deferred, Identity,
+													deferred.notifyWith )
+											);
+										}
+
+									// Handle all other returned values
+									} else {
+
+										// Only substitute handlers pass on context
+										// and multiple values (non-spec behavior)
+										if ( handler !== Identity ) {
+											that = undefined;
+											args = [ returned ];
+										}
+
+										// Process the value(s)
+										// Default process is resolve
+										( special || deferred.resolveWith )( that, args );
+									}
+								},
+
+								// Only normal processors (resolve) catch and reject exceptions
+								process = special ?
+									mightThrow :
+									function() {
+										try {
+											mightThrow();
+										} catch ( e ) {
+
+											if ( jQuery.Deferred.exceptionHook ) {
+												jQuery.Deferred.exceptionHook( e,
+													process.stackTrace );
+											}
+
+											// Support: Promises/A+ section 2.3.3.3.4.1
+											// https://promisesaplus.com/#point-61
+											// Ignore post-resolution exceptions
+											if ( depth + 1 >= maxDepth ) {
+
+												// Only substitute handlers pass on context
+												// and multiple values (non-spec behavior)
+												if ( handler !== Thrower ) {
+													that = undefined;
+													args = [ e ];
+												}
+
+												deferred.rejectWith( that, args );
+											}
+										}
+									};
+
+							// Support: Promises/A+ section 2.3.3.3.1
+							// https://promisesaplus.com/#point-57
+							// Re-resolve promises immediately to dodge false rejection from
+							// subsequent errors
+							if ( depth ) {
+								process();
+							} else {
+
+								// Call an optional hook to record the stack, in case of exception
+								// since it's otherwise lost when execution goes async
+								if ( jQuery.Deferred.getStackHook ) {
+									process.stackTrace = jQuery.Deferred.getStackHook();
+								}
+								window.setTimeout( process );
+							}
+						};
+					}
+
+					return jQuery.Deferred( function( newDefer ) {
+
+						// progress_handlers.add( ... )
+						tuples[ 0 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								jQuery.isFunction( onProgress ) ?
+									onProgress :
+									Identity,
+								newDefer.notifyWith
+							)
+						);
+
+						// fulfilled_handlers.add( ... )
+						tuples[ 1 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								jQuery.isFunction( onFulfilled ) ?
+									onFulfilled :
+									Identity
+							)
+						);
+
+						// rejected_handlers.add( ... )
+						tuples[ 2 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								jQuery.isFunction( onRejected ) ?
+									onRejected :
+									Thrower
+							)
+						);
+					} ).promise();
+				},
+
+				// Get a promise for this deferred
+				// If obj is provided, the promise aspect is added to the object
+				promise: function( obj ) {
+					return obj != null ? jQuery.extend( obj, promise ) : promise;
+				}
+			},
+			deferred = {};
+
+		// Add list-specific methods
+		jQuery.each( tuples, function( i, tuple ) {
+			var list = tuple[ 2 ],
+				stateString = tuple[ 5 ];
+
+			// promise.progress = list.add
+			// promise.done = list.add
+			// promise.fail = list.add
+			promise[ tuple[ 1 ] ] = list.add;
+
+			// Handle state
+			if ( stateString ) {
+				list.add(
+					function() {
+
+						// state = "resolved" (i.e., fulfilled)
+						// state = "rejected"
+						state = stateString;
+					},
+
+					// rejected_callbacks.disable
+					// fulfilled_callbacks.disable
+					tuples[ 3 - i ][ 2 ].disable,
+
+					// progress_callbacks.lock
+					tuples[ 0 ][ 2 ].lock
+				);
+			}
+
+			// progress_handlers.fire
+			// fulfilled_handlers.fire
+			// rejected_handlers.fire
+			list.add( tuple[ 3 ].fire );
+
+			// deferred.notify = function() { deferred.notifyWith(...) }
+			// deferred.resolve = function() { deferred.resolveWith(...) }
+			// deferred.reject = function() { deferred.rejectWith(...) }
+			deferred[ tuple[ 0 ] ] = function() {
+				deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments );
+				return this;
+			};
+
+			// deferred.notifyWith = list.fireWith
+			// deferred.resolveWith = list.fireWith
+			// deferred.rejectWith = list.fireWith
+			deferred[ tuple[ 0 ] + "With" ] = list.fireWith;
+		} );
+
+		// Make the deferred a promise
+		promise.promise( deferred );
+
+		// Call given func if any
+		if ( func ) {
+			func.call( deferred, deferred );
+		}
+
+		// All done!
+		return deferred;
+	},
+
+	// Deferred helper
+	when: function( singleValue ) {
+		var
+
+			// count of uncompleted subordinates
+			remaining = arguments.length,
+
+			// count of unprocessed arguments
+			i = remaining,
+
+			// subordinate fulfillment data
+			resolveContexts = Array( i ),
+			resolveValues = slice.call( arguments ),
+
+			// the master Deferred
+			master = jQuery.Deferred(),
+
+			// subordinate callback factory
+			updateFunc = function( i ) {
+				return function( value ) {
+					resolveContexts[ i ] = this;
+					resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value;
+					if ( !( --remaining ) ) {
+						master.resolveWith( resolveContexts, resolveValues );
+					}
+				};
+			};
+
+		// Single- and empty arguments are adopted like Promise.resolve
+		if ( remaining <= 1 ) {
+			adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject,
+				!remaining );
+
+			// Use .then() to unwrap secondary thenables (cf. gh-3000)
+			if ( master.state() === "pending" ||
+				jQuery.isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) {
+
+				return master.then();
+			}
+		}
+
+		// Multiple arguments are aggregated like Promise.all array elements
+		while ( i-- ) {
+			adoptValue( resolveValues[ i ], updateFunc( i ), master.reject );
+		}
+
+		return master.promise();
+	}
+} );
+
+
+// These usually indicate a programmer mistake during development,
+// warn about them ASAP rather than swallowing them by default.
+var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;
+
+jQuery.Deferred.exceptionHook = function( error, stack ) {
+
+	// Support: IE 8 - 9 only
+	// Console exists when dev tools are open, which can happen at any time
+	if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) {
+		window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack );
+	}
+};
+
+
+
+
+jQuery.readyException = function( error ) {
+	window.setTimeout( function() {
+		throw error;
+	} );
+};
+
+
+
+
+// The deferred used on DOM ready
+var readyList = jQuery.Deferred();
+
+jQuery.fn.ready = function( fn ) {
+
+	readyList
+		.then( fn )
+
+		// Wrap jQuery.readyException in a function so that the lookup
+		// happens at the time of error handling instead of callback
+		// registration.
+		.catch( function( error ) {
+			jQuery.readyException( error );
+		} );
+
+	return this;
+};
+
+jQuery.extend( {
+
+	// Is the DOM ready to be used? Set to true once it occurs.
+	isReady: false,
+
+	// A counter to track how many items to wait for before
+	// the ready event fires. See #6781
+	readyWait: 1,
+
+	// Handle when the DOM is ready
+	ready: function( wait ) {
+
+		// Abort if there are pending holds or we're already ready
+		if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) {
+			return;
+		}
+
+		// Remember that the DOM is ready
+		jQuery.isReady = true;
+
+		// If a normal DOM Ready event fired, decrement, and wait if need be
+		if ( wait !== true && --jQuery.readyWait > 0 ) {
+			return;
+		}
+
+		// If there are functions bound, to execute
+		readyList.resolveWith( document, [ jQuery ] );
+	}
+} );
+
+jQuery.ready.then = readyList.then;
+
+// The ready event handler and self cleanup method
+function completed() {
+	document.removeEventListener( "DOMContentLoaded", completed );
+	window.removeEventListener( "load", completed );
+	jQuery.ready();
+}
+
+// Catch cases where $(document).ready() is called
+// after the browser event has already occurred.
+// Support: IE <=9 - 10 only
+// Older IE sometimes signals "interactive" too soon
+if ( document.readyState === "complete" ||
+	( document.readyState !== "loading" && !document.documentElement.doScroll ) ) {
+
+	// Handle it asynchronously to allow scripts the opportunity to delay ready
+	window.setTimeout( jQuery.ready );
+
+} else {
+
+	// Use the handy event callback
+	document.addEventListener( "DOMContentLoaded", completed );
+
+	// A fallback to window.onload, that will always work
+	window.addEventListener( "load", completed );
+}
+
+
+
+
+// Multifunctional method to get and set values of a collection
+// The value/s can optionally be executed if it's a function
+var access = function( elems, fn, key, value, chainable, emptyGet, raw ) {
+	var i = 0,
+		len = elems.length,
+		bulk = key == null;
+
+	// Sets many values
+	if ( jQuery.type( key ) === "object" ) {
+		chainable = true;
+		for ( i in key ) {
+			access( elems, fn, i, key[ i ], true, emptyGet, raw );
+		}
+
+	// Sets one value
+	} else if ( value !== undefined ) {
+		chainable = true;
+
+		if ( !jQuery.isFunction( value ) ) {
+			raw = true;
+		}
+
+		if ( bulk ) {
+
+			// Bulk operations run against the entire set
+			if ( raw ) {
+				fn.call( elems, value );
+				fn = null;
+
+			// ...except when executing function values
+			} else {
+				bulk = fn;
+				fn = function( elem, key, value ) {
+					return bulk.call( jQuery( elem ), value );
+				};
+			}
+		}
+
+		if ( fn ) {
+			for ( ; i < len; i++ ) {
+				fn(
+					elems[ i ], key, raw ?
+					value :
+					value.call( elems[ i ], i, fn( elems[ i ], key ) )
+				);
+			}
+		}
+	}
+
+	if ( chainable ) {
+		return elems;
+	}
+
+	// Gets
+	if ( bulk ) {
+		return fn.call( elems );
+	}
+
+	return len ? fn( elems[ 0 ], key ) : emptyGet;
+};
+var acceptData = function( owner ) {
+
+	// Accepts only:
+	//  - Node
+	//    - Node.ELEMENT_NODE
+	//    - Node.DOCUMENT_NODE
+	//  - Object
+	//    - Any
+	return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType );
+};
+
+
+
+
+function Data() {
+	this.expando = jQuery.expando + Data.uid++;
+}
+
+Data.uid = 1;
+
+Data.prototype = {
+
+	cache: function( owner ) {
+
+		// Check if the owner object already has a cache
+		var value = owner[ this.expando ];
+
+		// If not, create one
+		if ( !value ) {
+			value = {};
+
+			// We can accept data for non-element nodes in modern browsers,
+			// but we should not, see #8335.
+			// Always return an empty object.
+			if ( acceptData( owner ) ) {
+
+				// If it is a node unlikely to be stringify-ed or looped over
+				// use plain assignment
+				if ( owner.nodeType ) {
+					owner[ this.expando ] = value;
+
+				// Otherwise secure it in a non-enumerable property
+				// configurable must be true to allow the property to be
+				// deleted when data is removed
+				} else {
+					Object.defineProperty( owner, this.expando, {
+						value: value,
+						configurable: true
+					} );
+				}
+			}
+		}
+
+		return value;
+	},
+	set: function( owner, data, value ) {
+		var prop,
+			cache = this.cache( owner );
+
+		// Handle: [ owner, key, value ] args
+		// Always use camelCase key (gh-2257)
+		if ( typeof data === "string" ) {
+			cache[ jQuery.camelCase( data ) ] = value;
+
+		// Handle: [ owner, { properties } ] args
+		} else {
+
+			// Copy the properties one-by-one to the cache object
+			for ( prop in data ) {
+				cache[ jQuery.camelCase( prop ) ] = data[ prop ];
+			}
+		}
+		return cache;
+	},
+	get: function( owner, key ) {
+		return key === undefined ?
+			this.cache( owner ) :
+
+			// Always use camelCase key (gh-2257)
+			owner[ this.expando ] && owner[ this.expando ][ jQuery.camelCase( key ) ];
+	},
+	access: function( owner, key, value ) {
+
+		// In cases where either:
+		//
+		//   1. No key was specified
+		//   2. A string key was specified, but no value provided
+		//
+		// Take the "read" path and allow the get method to determine
+		// which value to return, respectively either:
+		//
+		//   1. The entire cache object
+		//   2. The data stored at the key
+		//
+		if ( key === undefined ||
+				( ( key && typeof key === "string" ) && value === undefined ) ) {
+
+			return this.get( owner, key );
+		}
+
+		// When the key is not a string, or both a key and value
+		// are specified, set or extend (existing objects) with either:
+		//
+		//   1. An object of properties
+		//   2. A key and value
+		//
+		this.set( owner, key, value );
+
+		// Since the "set" path can have two possible entry points
+		// return the expected data based on which path was taken[*]
+		return value !== undefined ? value : key;
+	},
+	remove: function( owner, key ) {
+		var i,
+			cache = owner[ this.expando ];
+
+		if ( cache === undefined ) {
+			return;
+		}
+
+		if ( key !== undefined ) {
+
+			// Support array or space separated string of keys
+			if ( Array.isArray( key ) ) {
+
+				// If key is an array of keys...
+				// We always set camelCase keys, so remove that.
+				key = key.map( jQuery.camelCase );
+			} else {
+				key = jQuery.camelCase( key );
+
+				// If a key with the spaces exists, use it.
+				// Otherwise, create an array by matching non-whitespace
+				key = key in cache ?
+					[ key ] :
+					( key.match( rnothtmlwhite ) || [] );
+			}
+
+			i = key.length;
+
+			while ( i-- ) {
+				delete cache[ key[ i ] ];
+			}
+		}
+
+		// Remove the expando if there's no more data
+		if ( key === undefined || jQuery.isEmptyObject( cache ) ) {
+
+			// Support: Chrome <=35 - 45
+			// Webkit & Blink performance suffers when deleting properties
+			// from DOM nodes, so set to undefined instead
+			// https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted)
+			if ( owner.nodeType ) {
+				owner[ this.expando ] = undefined;
+			} else {
+				delete owner[ this.expando ];
+			}
+		}
+	},
+	hasData: function( owner ) {
+		var cache = owner[ this.expando ];
+		return cache !== undefined && !jQuery.isEmptyObject( cache );
+	}
+};
+var dataPriv = new Data();
+
+var dataUser = new Data();
+
+
+
+//	Implementation Summary
+//
+//	1. Enforce API surface and semantic compatibility with 1.9.x branch
+//	2. Improve the module's maintainability by reducing the storage
+//		paths to a single mechanism.
+//	3. Use the same single mechanism to support "private" and "user" data.
+//	4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData)
+//	5. Avoid exposing implementation details on user objects (eg. expando properties)
+//	6. Provide a clear path for implementation upgrade to WeakMap in 2014
+
+var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,
+	rmultiDash = /[A-Z]/g;
+
+function getData( data ) {
+	if ( data === "true" ) {
+		return true;
+	}
+
+	if ( data === "false" ) {
+		return false;
+	}
+
+	if ( data === "null" ) {
+		return null;
+	}
+
+	// Only convert to a number if it doesn't change the string
+	if ( data === +data + "" ) {
+		return +data;
+	}
+
+	if ( rbrace.test( data ) ) {
+		return JSON.parse( data );
+	}
+
+	return data;
+}
+
+function dataAttr( elem, key, data ) {
+	var name;
+
+	// If nothing was found internally, try to fetch any
+	// data from the HTML5 data-* attribute
+	if ( data === undefined && elem.nodeType === 1 ) {
+		name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase();
+		data = elem.getAttribute( name );
+
+		if ( typeof data === "string" ) {
+			try {
+				data = getData( data );
+			} catch ( e ) {}
+
+			// Make sure we set the data so it isn't changed later
+			dataUser.set( elem, key, data );
+		} else {
+			data = undefined;
+		}
+	}
+	return data;
+}
+
+jQuery.extend( {
+	hasData: function( elem ) {
+		return dataUser.hasData( elem ) || dataPriv.hasData( elem );
+	},
+
+	data: function( elem, name, data ) {
+		return dataUser.access( elem, name, data );
+	},
+
+	removeData: function( elem, name ) {
+		dataUser.remove( elem, name );
+	},
+
+	// TODO: Now that all calls to _data and _removeData have been replaced
+	// with direct calls to dataPriv methods, these can be deprecated.
+	_data: function( elem, name, data ) {
+		return dataPriv.access( elem, name, data );
+	},
+
+	_removeData: function( elem, name ) {
+		dataPriv.remove( elem, name );
+	}
+} );
+
+jQuery.fn.extend( {
+	data: function( key, value ) {
+		var i, name, data,
+			elem = this[ 0 ],
+			attrs = elem && elem.attributes;
+
+		// Gets all values
+		if ( key === undefined ) {
+			if ( this.length ) {
+				data = dataUser.get( elem );
+
+				if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) {
+					i = attrs.length;
+					while ( i-- ) {
+
+						// Support: IE 11 only
+						// The attrs elements can be null (#14894)
+						if ( attrs[ i ] ) {
+							name = attrs[ i ].name;
+							if ( name.indexOf( "data-" ) === 0 ) {
+								name = jQuery.camelCase( name.slice( 5 ) );
+								dataAttr( elem, name, data[ name ] );
+							}
+						}
+					}
+					dataPriv.set( elem, "hasDataAttrs", true );
+				}
+			}
+
+			return data;
+		}
+
+		// Sets multiple values
+		if ( typeof key === "object" ) {
+			return this.each( function() {
+				dataUser.set( this, key );
+			} );
+		}
+
+		return access( this, function( value ) {
+			var data;
+
+			// The calling jQuery object (element matches) is not empty
+			// (and therefore has an element appears at this[ 0 ]) and the
+			// `value` parameter was not undefined. An empty jQuery object
+			// will result in `undefined` for elem = this[ 0 ] which will
+			// throw an exception if an attempt to read a data cache is made.
+			if ( elem && value === undefined ) {
+
+				// Attempt to get data from the cache
+				// The key will always be camelCased in Data
+				data = dataUser.get( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// Attempt to "discover" the data in
+				// HTML5 custom data-* attrs
+				data = dataAttr( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// We tried really hard, but the data doesn't exist.
+				return;
+			}
+
+			// Set the data...
+			this.each( function() {
+
+				// We always store the camelCased key
+				dataUser.set( this, key, value );
+			} );
+		}, null, value, arguments.length > 1, null, true );
+	},
+
+	removeData: function( key ) {
+		return this.each( function() {
+			dataUser.remove( this, key );
+		} );
+	}
+} );
+
+
+jQuery.extend( {
+	queue: function( elem, type, data ) {
+		var queue;
+
+		if ( elem ) {
+			type = ( type || "fx" ) + "queue";
+			queue = dataPriv.get( elem, type );
+
+			// Speed up dequeue by getting out quickly if this is just a lookup
+			if ( data ) {
+				if ( !queue || Array.isArray( data ) ) {
+					queue = dataPriv.access( elem, type, jQuery.makeArray( data ) );
+				} else {
+					queue.push( data );
+				}
+			}
+			return queue || [];
+		}
+	},
+
+	dequeue: function( elem, type ) {
+		type = type || "fx";
+
+		var queue = jQuery.queue( elem, type ),
+			startLength = queue.length,
+			fn = queue.shift(),
+			hooks = jQuery._queueHooks( elem, type ),
+			next = function() {
+				jQuery.dequeue( elem, type );
+			};
+
+		// If the fx queue is dequeued, always remove the progress sentinel
+		if ( fn === "inprogress" ) {
+			fn = queue.shift();
+			startLength--;
+		}
+
+		if ( fn ) {
+
+			// Add a progress sentinel to prevent the fx queue from being
+			// automatically dequeued
+			if ( type === "fx" ) {
+				queue.unshift( "inprogress" );
+			}
+
+			// Clear up the last queue stop function
+			delete hooks.stop;
+			fn.call( elem, next, hooks );
+		}
+
+		if ( !startLength && hooks ) {
+			hooks.empty.fire();
+		}
+	},
+
+	// Not public - generate a queueHooks object, or return the current one
+	_queueHooks: function( elem, type ) {
+		var key = type + "queueHooks";
+		return dataPriv.get( elem, key ) || dataPriv.access( elem, key, {
+			empty: jQuery.Callbacks( "once memory" ).add( function() {
+				dataPriv.remove( elem, [ type + "queue", key ] );
+			} )
+		} );
+	}
+} );
+
+jQuery.fn.extend( {
+	queue: function( type, data ) {
+		var setter = 2;
+
+		if ( typeof type !== "string" ) {
+			data = type;
+			type = "fx";
+			setter--;
+		}
+
+		if ( arguments.length < setter ) {
+			return jQuery.queue( this[ 0 ], type );
+		}
+
+		return data === undefined ?
+			this :
+			this.each( function() {
+				var queue = jQuery.queue( this, type, data );
+
+				// Ensure a hooks for this queue
+				jQuery._queueHooks( this, type );
+
+				if ( type === "fx" && queue[ 0 ] !== "inprogress" ) {
+					jQuery.dequeue( this, type );
+				}
+			} );
+	},
+	dequeue: function( type ) {
+		return this.each( function() {
+			jQuery.dequeue( this, type );
+		} );
+	},
+	clearQueue: function( type ) {
+		return this.queue( type || "fx", [] );
+	},
+
+	// Get a promise resolved when queues of a certain type
+	// are emptied (fx is the type by default)
+	promise: function( type, obj ) {
+		var tmp,
+			count = 1,
+			defer = jQuery.Deferred(),
+			elements = this,
+			i = this.length,
+			resolve = function() {
+				if ( !( --count ) ) {
+					defer.resolveWith( elements, [ elements ] );
+				}
+			};
+
+		if ( typeof type !== "string" ) {
+			obj = type;
+			type = undefined;
+		}
+		type = type || "fx";
+
+		while ( i-- ) {
+			tmp = dataPriv.get( elements[ i ], type + "queueHooks" );
+			if ( tmp && tmp.empty ) {
+				count++;
+				tmp.empty.add( resolve );
+			}
+		}
+		resolve();
+		return defer.promise( obj );
+	}
+} );
+var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source;
+
+var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" );
+
+
+var cssExpand = [ "Top", "Right", "Bottom", "Left" ];
+
+var isHiddenWithinTree = function( elem, el ) {
+
+		// isHiddenWithinTree might be called from jQuery#filter function;
+		// in that case, element will be second argument
+		elem = el || elem;
+
+		// Inline style trumps all
+		return elem.style.display === "none" ||
+			elem.style.display === "" &&
+
+			// Otherwise, check computed style
+			// Support: Firefox <=43 - 45
+			// Disconnected elements can have computed display: none, so first confirm that elem is
+			// in the document.
+			jQuery.contains( elem.ownerDocument, elem ) &&
+
+			jQuery.css( elem, "display" ) === "none";
+	};
+
+var swap = function( elem, options, callback, args ) {
+	var ret, name,
+		old = {};
+
+	// Remember the old values, and insert the new ones
+	for ( name in options ) {
+		old[ name ] = elem.style[ name ];
+		elem.style[ name ] = options[ name ];
+	}
+
+	ret = callback.apply( elem, args || [] );
+
+	// Revert the old values
+	for ( name in options ) {
+		elem.style[ name ] = old[ name ];
+	}
+
+	return ret;
+};
+
+
+
+
+function adjustCSS( elem, prop, valueParts, tween ) {
+	var adjusted,
+		scale = 1,
+		maxIterations = 20,
+		currentValue = tween ?
+			function() {
+				return tween.cur();
+			} :
+			function() {
+				return jQuery.css( elem, prop, "" );
+			},
+		initial = currentValue(),
+		unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ),
+
+		// Starting value computation is required for potential unit mismatches
+		initialInUnit = ( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) &&
+			rcssNum.exec( jQuery.css( elem, prop ) );
+
+	if ( initialInUnit && initialInUnit[ 3 ] !== unit ) {
+
+		// Trust units reported by jQuery.css
+		unit = unit || initialInUnit[ 3 ];
+
+		// Make sure we update the tween properties later on
+		valueParts = valueParts || [];
+
+		// Iteratively approximate from a nonzero starting point
+		initialInUnit = +initial || 1;
+
+		do {
+
+			// If previous iteration zeroed out, double until we get *something*.
+			// Use string for doubling so we don't accidentally see scale as unchanged below
+			scale = scale || ".5";
+
+			// Adjust and apply
+			initialInUnit = initialInUnit / scale;
+			jQuery.style( elem, prop, initialInUnit + unit );
+
+		// Update scale, tolerating zero or NaN from tween.cur()
+		// Break the loop if scale is unchanged or perfect, or if we've just had enough.
+		} while (
+			scale !== ( scale = currentValue() / initial ) && scale !== 1 && --maxIterations
+		);
+	}
+
+	if ( valueParts ) {
+		initialInUnit = +initialInUnit || +initial || 0;
+
+		// Apply relative offset (+=/-=) if specified
+		adjusted = valueParts[ 1 ] ?
+			initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] :
+			+valueParts[ 2 ];
+		if ( tween ) {
+			tween.unit = unit;
+			tween.start = initialInUnit;
+			tween.end = adjusted;
+		}
+	}
+	return adjusted;
+}
+
+
+var defaultDisplayMap = {};
+
+function getDefaultDisplay( elem ) {
+	var temp,
+		doc = elem.ownerDocument,
+		nodeName = elem.nodeName,
+		display = defaultDisplayMap[ nodeName ];
+
+	if ( display ) {
+		return display;
+	}
+
+	temp = doc.body.appendChild( doc.createElement( nodeName ) );
+	display = jQuery.css( temp, "display" );
+
+	temp.parentNode.removeChild( temp );
+
+	if ( display === "none" ) {
+		display = "block";
+	}
+	defaultDisplayMap[ nodeName ] = display;
+
+	return display;
+}
+
+function showHide( elements, show ) {
+	var display, elem,
+		values = [],
+		index = 0,
+		length = elements.length;
+
+	// Determine new display value for elements that need to change
+	for ( ; index < length; index++ ) {
+		elem = elements[ index ];
+		if ( !elem.style ) {
+			continue;
+		}
+
+		display = elem.style.display;
+		if ( show ) {
+
+			// Since we force visibility upon cascade-hidden elements, an immediate (and slow)
+			// check is required in this first loop unless we have a nonempty display value (either
+			// inline or about-to-be-restored)
+			if ( display === "none" ) {
+				values[ index ] = dataPriv.get( elem, "display" ) || null;
+				if ( !values[ index ] ) {
+					elem.style.display = "";
+				}
+			}
+			if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) {
+				values[ index ] = getDefaultDisplay( elem );
+			}
+		} else {
+			if ( display !== "none" ) {
+				values[ index ] = "none";
+
+				// Remember what we're overwriting
+				dataPriv.set( elem, "display", display );
+			}
+		}
+	}
+
+	// Set the display of the elements in a second loop to avoid constant reflow
+	for ( index = 0; index < length; index++ ) {
+		if ( values[ index ] != null ) {
+			elements[ index ].style.display = values[ index ];
+		}
+	}
+
+	return elements;
+}
+
+jQuery.fn.extend( {
+	show: function() {
+		return showHide( this, true );
+	},
+	hide: function() {
+		return showHide( this );
+	},
+	toggle: function( state ) {
+		if ( typeof state === "boolean" ) {
+			return state ? this.show() : this.hide();
+		}
+
+		return this.each( function() {
+			if ( isHiddenWithinTree( this ) ) {
+				jQuery( this ).show();
+			} else {
+				jQuery( this ).hide();
+			}
+		} );
+	}
+} );
+var rcheckableType = ( /^(?:checkbox|radio)$/i );
+
+var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]+)/i );
+
+var rscriptType = ( /^$|\/(?:java|ecma)script/i );
+
+
+
+// We have to close these tags to support XHTML (#13200)
+var wrapMap = {
+
+	// Support: IE <=9 only
+	option: [ 1, "<select multiple='multiple'>", "</select>" ],
+
+	// XHTML parsers do not magically insert elements in the
+	// same way that tag soup parsers do. So we cannot shorten
+	// this by omitting <tbody> or other required elements.
+	thead: [ 1, "<table>", "</table>" ],
+	col: [ 2, "<table><colgroup>", "</colgroup></table>" ],
+	tr: [ 2, "<table><tbody>", "</tbody></table>" ],
+	td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ],
+
+	_default: [ 0, "", "" ]
+};
+
+// Support: IE <=9 only
+wrapMap.optgroup = wrapMap.option;
+
+wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead;
+wrapMap.th = wrapMap.td;
+
+
+function getAll( context, tag ) {
+
+	// Support: IE <=9 - 11 only
+	// Use typeof to avoid zero-argument method invocation on host objects (#15151)
+	var ret;
+
+	if ( typeof context.getElementsByTagName !== "undefined" ) {
+		ret = context.getElementsByTagName( tag || "*" );
+
+	} else if ( typeof context.querySelectorAll !== "undefined" ) {
+		ret = context.querySelectorAll( tag || "*" );
+
+	} else {
+		ret = [];
+	}
+
+	if ( tag === undefined || tag && nodeName( context, tag ) ) {
+		return jQuery.merge( [ context ], ret );
+	}
+
+	return ret;
+}
+
+
+// Mark scripts as having already been evaluated
+function setGlobalEval( elems, refElements ) {
+	var i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		dataPriv.set(
+			elems[ i ],
+			"globalEval",
+			!refElements || dataPriv.get( refElements[ i ], "globalEval" )
+		);
+	}
+}
+
+
+var rhtml = /<|&#?\w+;/;
+
+function buildFragment( elems, context, scripts, selection, ignored ) {
+	var elem, tmp, tag, wrap, contains, j,
+		fragment = context.createDocumentFragment(),
+		nodes = [],
+		i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		elem = elems[ i ];
+
+		if ( elem || elem === 0 ) {
+
+			// Add nodes directly
+			if ( jQuery.type( elem ) === "object" ) {
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem );
+
+			// Convert non-html into a text node
+			} else if ( !rhtml.test( elem ) ) {
+				nodes.push( context.createTextNode( elem ) );
+
+			// Convert html into DOM nodes
+			} else {
+				tmp = tmp || fragment.appendChild( context.createElement( "div" ) );
+
+				// Deserialize a standard representation
+				tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase();
+				wrap = wrapMap[ tag ] || wrapMap._default;
+				tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ];
+
+				// Descend through wrappers to the right content
+				j = wrap[ 0 ];
+				while ( j-- ) {
+					tmp = tmp.lastChild;
+				}
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, tmp.childNodes );
+
+				// Remember the top-level container
+				tmp = fragment.firstChild;
+
+				// Ensure the created nodes are orphaned (#12392)
+				tmp.textContent = "";
+			}
+		}
+	}
+
+	// Remove wrapper from fragment
+	fragment.textContent = "";
+
+	i = 0;
+	while ( ( elem = nodes[ i++ ] ) ) {
+
+		// Skip elements already in the context collection (trac-4087)
+		if ( selection && jQuery.inArray( elem, selection ) > -1 ) {
+			if ( ignored ) {
+				ignored.push( elem );
+			}
+			continue;
+		}
+
+		contains = jQuery.contains( elem.ownerDocument, elem );
+
+		// Append to fragment
+		tmp = getAll( fragment.appendChild( elem ), "script" );
+
+		// Preserve script evaluation history
+		if ( contains ) {
+			setGlobalEval( tmp );
+		}
+
+		// Capture executables
+		if ( scripts ) {
+			j = 0;
+			while ( ( elem = tmp[ j++ ] ) ) {
+				if ( rscriptType.test( elem.type || "" ) ) {
+					scripts.push( elem );
+				}
+			}
+		}
+	}
+
+	return fragment;
+}
+
+
+( function() {
+	var fragment = document.createDocumentFragment(),
+		div = fragment.appendChild( document.createElement( "div" ) ),
+		input = document.createElement( "input" );
+
+	// Support: Android 4.0 - 4.3 only
+	// Check state lost if the name is set (#11217)
+	// Support: Windows Web Apps (WWA)
+	// `name` and `type` must use .setAttribute for WWA (#14901)
+	input.setAttribute( "type", "radio" );
+	input.setAttribute( "checked", "checked" );
+	input.setAttribute( "name", "t" );
+
+	div.appendChild( input );
+
+	// Support: Android <=4.1 only
+	// Older WebKit doesn't clone checked state correctly in fragments
+	support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked;
+
+	// Support: IE <=11 only
+	// Make sure textarea (and checkbox) defaultValue is properly cloned
+	div.innerHTML = "<textarea>x</textarea>";
+	support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue;
+} )();
+var documentElement = document.documentElement;
+
+
+
+var
+	rkeyEvent = /^key/,
+	rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/,
+	rtypenamespace = /^([^.]*)(?:\.(.+)|)/;
+
+function returnTrue() {
+	return true;
+}
+
+function returnFalse() {
+	return false;
+}
+
+// Support: IE <=9 only
+// See #13393 for more info
+function safeActiveElement() {
+	try {
+		return document.activeElement;
+	} catch ( err ) { }
+}
+
+function on( elem, types, selector, data, fn, one ) {
+	var origFn, type;
+
+	// Types can be a map of types/handlers
+	if ( typeof types === "object" ) {
+
+		// ( types-Object, selector, data )
+		if ( typeof selector !== "string" ) {
+
+			// ( types-Object, data )
+			data = data || selector;
+			selector = undefined;
+		}
+		for ( type in types ) {
+			on( elem, type, selector, data, types[ type ], one );
+		}
+		return elem;
+	}
+
+	if ( data == null && fn == null ) {
+
+		// ( types, fn )
+		fn = selector;
+		data = selector = undefined;
+	} else if ( fn == null ) {
+		if ( typeof selector === "string" ) {
+
+			// ( types, selector, fn )
+			fn = data;
+			data = undefined;
+		} else {
+
+			// ( types, data, fn )
+			fn = data;
+			data = selector;
+			selector = undefined;
+		}
+	}
+	if ( fn === false ) {
+		fn = returnFalse;
+	} else if ( !fn ) {
+		return elem;
+	}
+
+	if ( one === 1 ) {
+		origFn = fn;
+		fn = function( event ) {
+
+			// Can use an empty set, since event contains the info
+			jQuery().off( event );
+			return origFn.apply( this, arguments );
+		};
+
+		// Use same guid so caller can remove using origFn
+		fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ );
+	}
+	return elem.each( function() {
+		jQuery.event.add( this, types, fn, data, selector );
+	} );
+}
+
+/*
+ * Helper functions for managing events -- not part of the public interface.
+ * Props to Dean Edwards' addEvent library for many of the ideas.
+ */
+jQuery.event = {
+
+	global: {},
+
+	add: function( elem, types, handler, data, selector ) {
+
+		var handleObjIn, eventHandle, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.get( elem );
+
+		// Don't attach events to noData or text/comment nodes (but allow plain objects)
+		if ( !elemData ) {
+			return;
+		}
+
+		// Caller can pass in an object of custom data in lieu of the handler
+		if ( handler.handler ) {
+			handleObjIn = handler;
+			handler = handleObjIn.handler;
+			selector = handleObjIn.selector;
+		}
+
+		// Ensure that invalid selectors throw exceptions at attach time
+		// Evaluate against documentElement in case elem is a non-element node (e.g., document)
+		if ( selector ) {
+			jQuery.find.matchesSelector( documentElement, selector );
+		}
+
+		// Make sure that the handler has a unique ID, used to find/remove it later
+		if ( !handler.guid ) {
+			handler.guid = jQuery.guid++;
+		}
+
+		// Init the element's event structure and main handler, if this is the first
+		if ( !( events = elemData.events ) ) {
+			events = elemData.events = {};
+		}
+		if ( !( eventHandle = elemData.handle ) ) {
+			eventHandle = elemData.handle = function( e ) {
+
+				// Discard the second event of a jQuery.event.trigger() and
+				// when an event is called after a page has unloaded
+				return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ?
+					jQuery.event.dispatch.apply( elem, arguments ) : undefined;
+			};
+		}
+
+		// Handle multiple events separated by a space
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// There *must* be a type, no attaching namespace-only handlers
+			if ( !type ) {
+				continue;
+			}
+
+			// If event changes its type, use the special event handlers for the changed type
+			special = jQuery.event.special[ type ] || {};
+
+			// If selector defined, determine special event api type, otherwise given type
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+
+			// Update special based on newly reset type
+			special = jQuery.event.special[ type ] || {};
+
+			// handleObj is passed to all event handlers
+			handleObj = jQuery.extend( {
+				type: type,
+				origType: origType,
+				data: data,
+				handler: handler,
+				guid: handler.guid,
+				selector: selector,
+				needsContext: selector && jQuery.expr.match.needsContext.test( selector ),
+				namespace: namespaces.join( "." )
+			}, handleObjIn );
+
+			// Init the event handler queue if we're the first
+			if ( !( handlers = events[ type ] ) ) {
+				handlers = events[ type ] = [];
+				handlers.delegateCount = 0;
+
+				// Only use addEventListener if the special events handler returns false
+				if ( !special.setup ||
+					special.setup.call( elem, data, namespaces, eventHandle ) === false ) {
+
+					if ( elem.addEventListener ) {
+						elem.addEventListener( type, eventHandle );
+					}
+				}
+			}
+
+			if ( special.add ) {
+				special.add.call( elem, handleObj );
+
+				if ( !handleObj.handler.guid ) {
+					handleObj.handler.guid = handler.guid;
+				}
+			}
+
+			// Add to the element's handler list, delegates in front
+			if ( selector ) {
+				handlers.splice( handlers.delegateCount++, 0, handleObj );
+			} else {
+				handlers.push( handleObj );
+			}
+
+			// Keep track of which events have ever been used, for event optimization
+			jQuery.event.global[ type ] = true;
+		}
+
+	},
+
+	// Detach an event or set of events from an element
+	remove: function( elem, types, handler, selector, mappedTypes ) {
+
+		var j, origCount, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.hasData( elem ) && dataPriv.get( elem );
+
+		if ( !elemData || !( events = elemData.events ) ) {
+			return;
+		}
+
+		// Once for each type.namespace in types; type may be omitted
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// Unbind all events (on this namespace, if provided) for the element
+			if ( !type ) {
+				for ( type in events ) {
+					jQuery.event.remove( elem, type + types[ t ], handler, selector, true );
+				}
+				continue;
+			}
+
+			special = jQuery.event.special[ type ] || {};
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+			handlers = events[ type ] || [];
+			tmp = tmp[ 2 ] &&
+				new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" );
+
+			// Remove matching events
+			origCount = j = handlers.length;
+			while ( j-- ) {
+				handleObj = handlers[ j ];
+
+				if ( ( mappedTypes || origType === handleObj.origType ) &&
+					( !handler || handler.guid === handleObj.guid ) &&
+					( !tmp || tmp.test( handleObj.namespace ) ) &&
+					( !selector || selector === handleObj.selector ||
+						selector === "**" && handleObj.selector ) ) {
+					handlers.splice( j, 1 );
+
+					if ( handleObj.selector ) {
+						handlers.delegateCount--;
+					}
+					if ( special.remove ) {
+						special.remove.call( elem, handleObj );
+					}
+				}
+			}
+
+			// Remove generic event handler if we removed something and no more handlers exist
+			// (avoids potential for endless recursion during removal of special event handlers)
+			if ( origCount && !handlers.length ) {
+				if ( !special.teardown ||
+					special.teardown.call( elem, namespaces, elemData.handle ) === false ) {
+
+					jQuery.removeEvent( elem, type, elemData.handle );
+				}
+
+				delete events[ type ];
+			}
+		}
+
+		// Remove data and the expando if it's no longer used
+		if ( jQuery.isEmptyObject( events ) ) {
+			dataPriv.remove( elem, "handle events" );
+		}
+	},
+
+	dispatch: function( nativeEvent ) {
+
+		// Make a writable jQuery.Event from the native event object
+		var event = jQuery.event.fix( nativeEvent );
+
+		var i, j, ret, matched, handleObj, handlerQueue,
+			args = new Array( arguments.length ),
+			handlers = ( dataPriv.get( this, "events" ) || {} )[ event.type ] || [],
+			special = jQuery.event.special[ event.type ] || {};
+
+		// Use the fix-ed jQuery.Event rather than the (read-only) native event
+		args[ 0 ] = event;
+
+		for ( i = 1; i < arguments.length; i++ ) {
+			args[ i ] = arguments[ i ];
+		}
+
+		event.delegateTarget = this;
+
+		// Call the preDispatch hook for the mapped type, and let it bail if desired
+		if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) {
+			return;
+		}
+
+		// Determine handlers
+		handlerQueue = jQuery.event.handlers.call( this, event, handlers );
+
+		// Run delegates first; they may want to stop propagation beneath us
+		i = 0;
+		while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) {
+			event.currentTarget = matched.elem;
+
+			j = 0;
+			while ( ( handleObj = matched.handlers[ j++ ] ) &&
+				!event.isImmediatePropagationStopped() ) {
+
+				// Triggered event must either 1) have no namespace, or 2) have namespace(s)
+				// a subset or equal to those in the bound event (both can have no namespace).
+				if ( !event.rnamespace || event.rnamespace.test( handleObj.namespace ) ) {
+
+					event.handleObj = handleObj;
+					event.data = handleObj.data;
+
+					ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle ||
+						handleObj.handler ).apply( matched.elem, args );
+
+					if ( ret !== undefined ) {
+						if ( ( event.result = ret ) === false ) {
+							event.preventDefault();
+							event.stopPropagation();
+						}
+					}
+				}
+			}
+		}
+
+		// Call the postDispatch hook for the mapped type
+		if ( special.postDispatch ) {
+			special.postDispatch.call( this, event );
+		}
+
+		return event.result;
+	},
+
+	handlers: function( event, handlers ) {
+		var i, handleObj, sel, matchedHandlers, matchedSelectors,
+			handlerQueue = [],
+			delegateCount = handlers.delegateCount,
+			cur = event.target;
+
+		// Find delegate handlers
+		if ( delegateCount &&
+
+			// Support: IE <=9
+			// Black-hole SVG <use> instance trees (trac-13180)
+			cur.nodeType &&
+
+			// Support: Firefox <=42
+			// Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861)
+			// https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click
+			// Support: IE 11 only
+			// ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343)
+			!( event.type === "click" && event.button >= 1 ) ) {
+
+			for ( ; cur !== this; cur = cur.parentNode || this ) {
+
+				// Don't check non-elements (#13208)
+				// Don't process clicks on disabled elements (#6911, #8165, #11382, #11764)
+				if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) {
+					matchedHandlers = [];
+					matchedSelectors = {};
+					for ( i = 0; i < delegateCount; i++ ) {
+						handleObj = handlers[ i ];
+
+						// Don't conflict with Object.prototype properties (#13203)
+						sel = handleObj.selector + " ";
+
+						if ( matchedSelectors[ sel ] === undefined ) {
+							matchedSelectors[ sel ] = handleObj.needsContext ?
+								jQuery( sel, this ).index( cur ) > -1 :
+								jQuery.find( sel, this, null, [ cur ] ).length;
+						}
+						if ( matchedSelectors[ sel ] ) {
+							matchedHandlers.push( handleObj );
+						}
+					}
+					if ( matchedHandlers.length ) {
+						handlerQueue.push( { elem: cur, handlers: matchedHandlers } );
+					}
+				}
+			}
+		}
+
+		// Add the remaining (directly-bound) handlers
+		cur = this;
+		if ( delegateCount < handlers.length ) {
+			handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } );
+		}
+
+		return handlerQueue;
+	},
+
+	addProp: function( name, hook ) {
+		Object.defineProperty( jQuery.Event.prototype, name, {
+			enumerable: true,
+			configurable: true,
+
+			get: jQuery.isFunction( hook ) ?
+				function() {
+					if ( this.originalEvent ) {
+							return hook( this.originalEvent );
+					}
+				} :
+				function() {
+					if ( this.originalEvent ) {
+							return this.originalEvent[ name ];
+					}
+				},
+
+			set: function( value ) {
+				Object.defineProperty( this, name, {
+					enumerable: true,
+					configurable: true,
+					writable: true,
+					value: value
+				} );
+			}
+		} );
+	},
+
+	fix: function( originalEvent ) {
+		return originalEvent[ jQuery.expando ] ?
+			originalEvent :
+			new jQuery.Event( originalEvent );
+	},
+
+	special: {
+		load: {
+
+			// Prevent triggered image.load events from bubbling to window.load
+			noBubble: true
+		},
+		focus: {
+
+			// Fire native event if possible so blur/focus sequence is correct
+			trigger: function() {
+				if ( this !== safeActiveElement() && this.focus ) {
+					this.focus();
+					return false;
+				}
+			},
+			delegateType: "focusin"
+		},
+		blur: {
+			trigger: function() {
+				if ( this === safeActiveElement() && this.blur ) {
+					this.blur();
+					return false;
+				}
+			},
+			delegateType: "focusout"
+		},
+		click: {
+
+			// For checkbox, fire native event so checked state will be right
+			trigger: function() {
+				if ( this.type === "checkbox" && this.click && nodeName( this, "input" ) ) {
+					this.click();
+					return false;
+				}
+			},
+
+			// For cross-browser consistency, don't fire native .click() on links
+			_default: function( event ) {
+				return nodeName( event.target, "a" );
+			}
+		},
+
+		beforeunload: {
+			postDispatch: function( event ) {
+
+				// Support: Firefox 20+
+				// Firefox doesn't alert if the returnValue field is not set.
+				if ( event.result !== undefined && event.originalEvent ) {
+					event.originalEvent.returnValue = event.result;
+				}
+			}
+		}
+	}
+};
+
+jQuery.removeEvent = function( elem, type, handle ) {
+
+	// This "if" is needed for plain objects
+	if ( elem.removeEventListener ) {
+		elem.removeEventListener( type, handle );
+	}
+};
+
+jQuery.Event = function( src, props ) {
+
+	// Allow instantiation without the 'new' keyword
+	if ( !( this instanceof jQuery.Event ) ) {
+		return new jQuery.Event( src, props );
+	}
+
+	// Event object
+	if ( src && src.type ) {
+		this.originalEvent = src;
+		this.type = src.type;
+
+		// Events bubbling up the document may have been marked as prevented
+		// by a handler lower down the tree; reflect the correct value.
+		this.isDefaultPrevented = src.defaultPrevented ||
+				src.defaultPrevented === undefined &&
+
+				// Support: Android <=2.3 only
+				src.returnValue === false ?
+			returnTrue :
+			returnFalse;
+
+		// Create target properties
+		// Support: Safari <=6 - 7 only
+		// Target should not be a text node (#504, #13143)
+		this.target = ( src.target && src.target.nodeType === 3 ) ?
+			src.target.parentNode :
+			src.target;
+
+		this.currentTarget = src.currentTarget;
+		this.relatedTarget = src.relatedTarget;
+
+	// Event type
+	} else {
+		this.type = src;
+	}
+
+	// Put explicitly provided properties onto the event object
+	if ( props ) {
+		jQuery.extend( this, props );
+	}
+
+	// Create a timestamp if incoming event doesn't have one
+	this.timeStamp = src && src.timeStamp || jQuery.now();
+
+	// Mark it as fixed
+	this[ jQuery.expando ] = true;
+};
+
+// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding
+// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html
+jQuery.Event.prototype = {
+	constructor: jQuery.Event,
+	isDefaultPrevented: returnFalse,
+	isPropagationStopped: returnFalse,
+	isImmediatePropagationStopped: returnFalse,
+	isSimulated: false,
+
+	preventDefault: function() {
+		var e = this.originalEvent;
+
+		this.isDefaultPrevented = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.preventDefault();
+		}
+	},
+	stopPropagation: function() {
+		var e = this.originalEvent;
+
+		this.isPropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopPropagation();
+		}
+	},
+	stopImmediatePropagation: function() {
+		var e = this.originalEvent;
+
+		this.isImmediatePropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopImmediatePropagation();
+		}
+
+		this.stopPropagation();
+	}
+};
+
+// Includes all common event props including KeyEvent and MouseEvent specific props
+jQuery.each( {
+	altKey: true,
+	bubbles: true,
+	cancelable: true,
+	changedTouches: true,
+	ctrlKey: true,
+	detail: true,
+	eventPhase: true,
+	metaKey: true,
+	pageX: true,
+	pageY: true,
+	shiftKey: true,
+	view: true,
+	"char": true,
+	charCode: true,
+	key: true,
+	keyCode: true,
+	button: true,
+	buttons: true,
+	clientX: true,
+	clientY: true,
+	offsetX: true,
+	offsetY: true,
+	pointerId: true,
+	pointerType: true,
+	screenX: true,
+	screenY: true,
+	targetTouches: true,
+	toElement: true,
+	touches: true,
+
+	which: function( event ) {
+		var button = event.button;
+
+		// Add which for key events
+		if ( event.which == null && rkeyEvent.test( event.type ) ) {
+			return event.charCode != null ? event.charCode : event.keyCode;
+		}
+
+		// Add which for click: 1 === left; 2 === middle; 3 === right
+		if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) {
+			if ( button & 1 ) {
+				return 1;
+			}
+
+			if ( button & 2 ) {
+				return 3;
+			}
+
+			if ( button & 4 ) {
+				return 2;
+			}
+
+			return 0;
+		}
+
+		return event.which;
+	}
+}, jQuery.event.addProp );
+
+// Create mouseenter/leave events using mouseover/out and event-time checks
+// so that event delegation works in jQuery.
+// Do the same for pointerenter/pointerleave and pointerover/pointerout
+//
+// Support: Safari 7 only
+// Safari sends mouseenter too often; see:
+// https://bugs.chromium.org/p/chromium/issues/detail?id=470258
+// for the description of the bug (it existed in older Chrome versions as well).
+jQuery.each( {
+	mouseenter: "mouseover",
+	mouseleave: "mouseout",
+	pointerenter: "pointerover",
+	pointerleave: "pointerout"
+}, function( orig, fix ) {
+	jQuery.event.special[ orig ] = {
+		delegateType: fix,
+		bindType: fix,
+
+		handle: function( event ) {
+			var ret,
+				target = this,
+				related = event.relatedTarget,
+				handleObj = event.handleObj;
+
+			// For mouseenter/leave call the handler if related is outside the target.
+			// NB: No relatedTarget if the mouse left/entered the browser window
+			if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) {
+				event.type = handleObj.origType;
+				ret = handleObj.handler.apply( this, arguments );
+				event.type = fix;
+			}
+			return ret;
+		}
+	};
+} );
+
+jQuery.fn.extend( {
+
+	on: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn );
+	},
+	one: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn, 1 );
+	},
+	off: function( types, selector, fn ) {
+		var handleObj, type;
+		if ( types && types.preventDefault && types.handleObj ) {
+
+			// ( event )  dispatched jQuery.Event
+			handleObj = types.handleObj;
+			jQuery( types.delegateTarget ).off(
+				handleObj.namespace ?
+					handleObj.origType + "." + handleObj.namespace :
+					handleObj.origType,
+				handleObj.selector,
+				handleObj.handler
+			);
+			return this;
+		}
+		if ( typeof types === "object" ) {
+
+			// ( types-object [, selector] )
+			for ( type in types ) {
+				this.off( type, selector, types[ type ] );
+			}
+			return this;
+		}
+		if ( selector === false || typeof selector === "function" ) {
+
+			// ( types [, fn] )
+			fn = selector;
+			selector = undefined;
+		}
+		if ( fn === false ) {
+			fn = returnFalse;
+		}
+		return this.each( function() {
+			jQuery.event.remove( this, types, fn, selector );
+		} );
+	}
+} );
+
+
+var
+
+	/* eslint-disable max-len */
+
+	// See https://github.com/eslint/eslint/issues/3229
+	rxhtmlTag = /<(?!area|br|col|embed|hr|img|input|link|meta|param)(([a-z][^\/\0>\x20\t\r\n\f]*)[^>]*)\/>/gi,
+
+	/* eslint-enable */
+
+	// Support: IE <=10 - 11, Edge 12 - 13
+	// In IE/Edge using regex groups here causes severe slowdowns.
+	// See https://connect.microsoft.com/IE/feedback/details/1736512/
+	rnoInnerhtml = /<script|<style|<link/i,
+
+	// checked="checked" or checked
+	rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i,
+	rscriptTypeMasked = /^true\/(.*)/,
+	rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;
+
+// Prefer a tbody over its parent table for containing new rows
+function manipulationTarget( elem, content ) {
+	if ( nodeName( elem, "table" ) &&
+		nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) {
+
+		return jQuery( ">tbody", elem )[ 0 ] || elem;
+	}
+
+	return elem;
+}
+
+// Replace/restore the type attribute of script elements for safe DOM manipulation
+function disableScript( elem ) {
+	elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type;
+	return elem;
+}
+function restoreScript( elem ) {
+	var match = rscriptTypeMasked.exec( elem.type );
+
+	if ( match ) {
+		elem.type = match[ 1 ];
+	} else {
+		elem.removeAttribute( "type" );
+	}
+
+	return elem;
+}
+
+function cloneCopyEvent( src, dest ) {
+	var i, l, type, pdataOld, pdataCur, udataOld, udataCur, events;
+
+	if ( dest.nodeType !== 1 ) {
+		return;
+	}
+
+	// 1. Copy private data: events, handlers, etc.
+	if ( dataPriv.hasData( src ) ) {
+		pdataOld = dataPriv.access( src );
+		pdataCur = dataPriv.set( dest, pdataOld );
+		events = pdataOld.events;
+
+		if ( events ) {
+			delete pdataCur.handle;
+			pdataCur.events = {};
+
+			for ( type in events ) {
+				for ( i = 0, l = events[ type ].length; i < l; i++ ) {
+					jQuery.event.add( dest, type, events[ type ][ i ] );
+				}
+			}
+		}
+	}
+
+	// 2. Copy user data
+	if ( dataUser.hasData( src ) ) {
+		udataOld = dataUser.access( src );
+		udataCur = jQuery.extend( {}, udataOld );
+
+		dataUser.set( dest, udataCur );
+	}
+}
+
+// Fix IE bugs, see support tests
+function fixInput( src, dest ) {
+	var nodeName = dest.nodeName.toLowerCase();
+
+	// Fails to persist the checked state of a cloned checkbox or radio button.
+	if ( nodeName === "input" && rcheckableType.test( src.type ) ) {
+		dest.checked = src.checked;
+
+	// Fails to return the selected option to the default selected state when cloning options
+	} else if ( nodeName === "input" || nodeName === "textarea" ) {
+		dest.defaultValue = src.defaultValue;
+	}
+}
+
+function domManip( collection, args, callback, ignored ) {
+
+	// Flatten any nested arrays
+	args = concat.apply( [], args );
+
+	var fragment, first, scripts, hasScripts, node, doc,
+		i = 0,
+		l = collection.length,
+		iNoClone = l - 1,
+		value = args[ 0 ],
+		isFunction = jQuery.isFunction( value );
+
+	// We can't cloneNode fragments that contain checked, in WebKit
+	if ( isFunction ||
+			( l > 1 && typeof value === "string" &&
+				!support.checkClone && rchecked.test( value ) ) ) {
+		return collection.each( function( index ) {
+			var self = collection.eq( index );
+			if ( isFunction ) {
+				args[ 0 ] = value.call( this, index, self.html() );
+			}
+			domManip( self, args, callback, ignored );
+		} );
+	}
+
+	if ( l ) {
+		fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored );
+		first = fragment.firstChild;
+
+		if ( fragment.childNodes.length === 1 ) {
+			fragment = first;
+		}
+
+		// Require either new content or an interest in ignored elements to invoke the callback
+		if ( first || ignored ) {
+			scripts = jQuery.map( getAll( fragment, "script" ), disableScript );
+			hasScripts = scripts.length;
+
+			// Use the original fragment for the last item
+			// instead of the first because it can end up
+			// being emptied incorrectly in certain situations (#8070).
+			for ( ; i < l; i++ ) {
+				node = fragment;
+
+				if ( i !== iNoClone ) {
+					node = jQuery.clone( node, true, true );
+
+					// Keep references to cloned scripts for later restoration
+					if ( hasScripts ) {
+
+						// Support: Android <=4.0 only, PhantomJS 1 only
+						// push.apply(_, arraylike) throws on ancient WebKit
+						jQuery.merge( scripts, getAll( node, "script" ) );
+					}
+				}
+
+				callback.call( collection[ i ], node, i );
+			}
+
+			if ( hasScripts ) {
+				doc = scripts[ scripts.length - 1 ].ownerDocument;
+
+				// Reenable scripts
+				jQuery.map( scripts, restoreScript );
+
+				// Evaluate executable scripts on first document insertion
+				for ( i = 0; i < hasScripts; i++ ) {
+					node = scripts[ i ];
+					if ( rscriptType.test( node.type || "" ) &&
+						!dataPriv.access( node, "globalEval" ) &&
+						jQuery.contains( doc, node ) ) {
+
+						if ( node.src ) {
+
+							// Optional AJAX dependency, but won't run scripts if not present
+							if ( jQuery._evalUrl ) {
+								jQuery._evalUrl( node.src );
+							}
+						} else {
+							DOMEval( node.textContent.replace( rcleanScript, "" ), doc );
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return collection;
+}
+
+function remove( elem, selector, keepData ) {
+	var node,
+		nodes = selector ? jQuery.filter( selector, elem ) : elem,
+		i = 0;
+
+	for ( ; ( node = nodes[ i ] ) != null; i++ ) {
+		if ( !keepData && node.nodeType === 1 ) {
+			jQuery.cleanData( getAll( node ) );
+		}
+
+		if ( node.parentNode ) {
+			if ( keepData && jQuery.contains( node.ownerDocument, node ) ) {
+				setGlobalEval( getAll( node, "script" ) );
+			}
+			node.parentNode.removeChild( node );
+		}
+	}
+
+	return elem;
+}
+
+jQuery.extend( {
+	htmlPrefilter: function( html ) {
+		return html.replace( rxhtmlTag, "<$1></$2>" );
+	},
+
+	clone: function( elem, dataAndEvents, deepDataAndEvents ) {
+		var i, l, srcElements, destElements,
+			clone = elem.cloneNode( true ),
+			inPage = jQuery.contains( elem.ownerDocument, elem );
+
+		// Fix IE cloning issues
+		if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) &&
+				!jQuery.isXMLDoc( elem ) ) {
+
+			// We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2
+			destElements = getAll( clone );
+			srcElements = getAll( elem );
+
+			for ( i = 0, l = srcElements.length; i < l; i++ ) {
+				fixInput( srcElements[ i ], destElements[ i ] );
+			}
+		}
+
+		// Copy the events from the original to the clone
+		if ( dataAndEvents ) {
+			if ( deepDataAndEvents ) {
+				srcElements = srcElements || getAll( elem );
+				destElements = destElements || getAll( clone );
+
+				for ( i = 0, l = srcElements.length; i < l; i++ ) {
+					cloneCopyEvent( srcElements[ i ], destElements[ i ] );
+				}
+			} else {
+				cloneCopyEvent( elem, clone );
+			}
+		}
+
+		// Preserve script evaluation history
+		destElements = getAll( clone, "script" );
+		if ( destElements.length > 0 ) {
+			setGlobalEval( destElements, !inPage && getAll( elem, "script" ) );
+		}
+
+		// Return the cloned set
+		return clone;
+	},
+
+	cleanData: function( elems ) {
+		var data, elem, type,
+			special = jQuery.event.special,
+			i = 0;
+
+		for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) {
+			if ( acceptData( elem ) ) {
+				if ( ( data = elem[ dataPriv.expando ] ) ) {
+					if ( data.events ) {
+						for ( type in data.events ) {
+							if ( special[ type ] ) {
+								jQuery.event.remove( elem, type );
+
+							// This is a shortcut to avoid jQuery.event.remove's overhead
+							} else {
+								jQuery.removeEvent( elem, type, data.handle );
+							}
+						}
+					}
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataPriv.expando ] = undefined;
+				}
+				if ( elem[ dataUser.expando ] ) {
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataUser.expando ] = undefined;
+				}
+			}
+		}
+	}
+} );
+
+jQuery.fn.extend( {
+	detach: function( selector ) {
+		return remove( this, selector, true );
+	},
+
+	remove: function( selector ) {
+		return remove( this, selector );
+	},
+
+	text: function( value ) {
+		return access( this, function( value ) {
+			return value === undefined ?
+				jQuery.text( this ) :
+				this.empty().each( function() {
+					if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+						this.textContent = value;
+					}
+				} );
+		}, null, value, arguments.length );
+	},
+
+	append: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.appendChild( elem );
+			}
+		} );
+	},
+
+	prepend: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.insertBefore( elem, target.firstChild );
+			}
+		} );
+	},
+
+	before: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this );
+			}
+		} );
+	},
+
+	after: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this.nextSibling );
+			}
+		} );
+	},
+
+	empty: function() {
+		var elem,
+			i = 0;
+
+		for ( ; ( elem = this[ i ] ) != null; i++ ) {
+			if ( elem.nodeType === 1 ) {
+
+				// Prevent memory leaks
+				jQuery.cleanData( getAll( elem, false ) );
+
+				// Remove any remaining nodes
+				elem.textContent = "";
+			}
+		}
+
+		return this;
+	},
+
+	clone: function( dataAndEvents, deepDataAndEvents ) {
+		dataAndEvents = dataAndEvents == null ? false : dataAndEvents;
+		deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents;
+
+		return this.map( function() {
+			return jQuery.clone( this, dataAndEvents, deepDataAndEvents );
+		} );
+	},
+
+	html: function( value ) {
+		return access( this, function( value ) {
+			var elem = this[ 0 ] || {},
+				i = 0,
+				l = this.length;
+
+			if ( value === undefined && elem.nodeType === 1 ) {
+				return elem.innerHTML;
+			}
+
+			// See if we can take a shortcut and just use innerHTML
+			if ( typeof value === "string" && !rnoInnerhtml.test( value ) &&
+				!wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) {
+
+				value = jQuery.htmlPrefilter( value );
+
+				try {
+					for ( ; i < l; i++ ) {
+						elem = this[ i ] || {};
+
+						// Remove element nodes and prevent memory leaks
+						if ( elem.nodeType === 1 ) {
+							jQuery.cleanData( getAll( elem, false ) );
+							elem.innerHTML = value;
+						}
+					}
+
+					elem = 0;
+
+				// If using innerHTML throws an exception, use the fallback method
+				} catch ( e ) {}
+			}
+
+			if ( elem ) {
+				this.empty().append( value );
+			}
+		}, null, value, arguments.length );
+	},
+
+	replaceWith: function() {
+		var ignored = [];
+
+		// Make the changes, replacing each non-ignored context element with the new content
+		return domManip( this, arguments, function( elem ) {
+			var parent = this.parentNode;
+
+			if ( jQuery.inArray( this, ignored ) < 0 ) {
+				jQuery.cleanData( getAll( this ) );
+				if ( parent ) {
+					parent.replaceChild( elem, this );
+				}
+			}
+
+		// Force callback invocation
+		}, ignored );
+	}
+} );
+
+jQuery.each( {
+	appendTo: "append",
+	prependTo: "prepend",
+	insertBefore: "before",
+	insertAfter: "after",
+	replaceAll: "replaceWith"
+}, function( name, original ) {
+	jQuery.fn[ name ] = function( selector ) {
+		var elems,
+			ret = [],
+			insert = jQuery( selector ),
+			last = insert.length - 1,
+			i = 0;
+
+		for ( ; i <= last; i++ ) {
+			elems = i === last ? this : this.clone( true );
+			jQuery( insert[ i ] )[ original ]( elems );
+
+			// Support: Android <=4.0 only, PhantomJS 1 only
+			// .get() because push.apply(_, arraylike) throws on ancient WebKit
+			push.apply( ret, elems.get() );
+		}
+
+		return this.pushStack( ret );
+	};
+} );
+var rmargin = ( /^margin/ );
+
+var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
+
+var getStyles = function( elem ) {
+
+		// Support: IE <=11 only, Firefox <=30 (#15098, #14150)
+		// IE throws on elements created in popups
+		// FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
+		var view = elem.ownerDocument.defaultView;
+
+		if ( !view || !view.opener ) {
+			view = window;
+		}
+
+		return view.getComputedStyle( elem );
+	};
+
+
+
+( function() {
+
+	// Executing both pixelPosition & boxSizingReliable tests require only one layout
+	// so they're executed at the same time to save the second computation.
+	function computeStyleTests() {
+
+		// This is a singleton, we need to execute it only once
+		if ( !div ) {
+			return;
+		}
+
+		div.style.cssText =
+			"box-sizing:border-box;" +
+			"position:relative;display:block;" +
+			"margin:auto;border:1px;padding:1px;" +
+			"top:1%;width:50%";
+		div.innerHTML = "";
+		documentElement.appendChild( container );
+
+		var divStyle = window.getComputedStyle( div );
+		pixelPositionVal = divStyle.top !== "1%";
+
+		// Support: Android 4.0 - 4.3 only, Firefox <=3 - 44
+		reliableMarginLeftVal = divStyle.marginLeft === "2px";
+		boxSizingReliableVal = divStyle.width === "4px";
+
+		// Support: Android 4.0 - 4.3 only
+		// Some styles come back with percentage values, even though they shouldn't
+		div.style.marginRight = "50%";
+		pixelMarginRightVal = divStyle.marginRight === "4px";
+
+		documentElement.removeChild( container );
+
+		// Nullify the div so it wouldn't be stored in the memory and
+		// it will also be a sign that checks already performed
+		div = null;
+	}
+
+	var pixelPositionVal, boxSizingReliableVal, pixelMarginRightVal, reliableMarginLeftVal,
+		container = document.createElement( "div" ),
+		div = document.createElement( "div" );
+
+	// Finish early in limited (non-browser) environments
+	if ( !div.style ) {
+		return;
+	}
+
+	// Support: IE <=9 - 11 only
+	// Style of cloned element affects source element cloned (#8908)
+	div.style.backgroundClip = "content-box";
+	div.cloneNode( true ).style.backgroundClip = "";
+	support.clearCloneStyle = div.style.backgroundClip === "content-box";
+
+	container.style.cssText = "border:0;width:8px;height:0;top:0;left:-9999px;" +
+		"padding:0;margin-top:1px;position:absolute";
+	container.appendChild( div );
+
+	jQuery.extend( support, {
+		pixelPosition: function() {
+			computeStyleTests();
+			return pixelPositionVal;
+		},
+		boxSizingReliable: function() {
+			computeStyleTests();
+			return boxSizingReliableVal;
+		},
+		pixelMarginRight: function() {
+			computeStyleTests();
+			return pixelMarginRightVal;
+		},
+		reliableMarginLeft: function() {
+			computeStyleTests();
+			return reliableMarginLeftVal;
+		}
+	} );
+} )();
+
+
+function curCSS( elem, name, computed ) {
+	var width, minWidth, maxWidth, ret,
+
+		// Support: Firefox 51+
+		// Retrieving style before computed somehow
+		// fixes an issue with getting wrong values
+		// on detached elements
+		style = elem.style;
+
+	computed = computed || getStyles( elem );
+
+	// getPropertyValue is needed for:
+	//   .css('filter') (IE 9 only, #12537)
+	//   .css('--customProperty) (#3144)
+	if ( computed ) {
+		ret = computed.getPropertyValue( name ) || computed[ name ];
+
+		if ( ret === "" && !jQuery.contains( elem.ownerDocument, elem ) ) {
+			ret = jQuery.style( elem, name );
+		}
+
+		// A tribute to the "awesome hack by Dean Edwards"
+		// Android Browser returns percentage for some values,
+		// but width seems to be reliably pixels.
+		// This is against the CSSOM draft spec:
+		// https://drafts.csswg.org/cssom/#resolved-values
+		if ( !support.pixelMarginRight() && rnumnonpx.test( ret ) && rmargin.test( name ) ) {
+
+			// Remember the original values
+			width = style.width;
+			minWidth = style.minWidth;
+			maxWidth = style.maxWidth;
+
+			// Put in the new values to get a computed value out
+			style.minWidth = style.maxWidth = style.width = ret;
+			ret = computed.width;
+
+			// Revert the changed values
+			style.width = width;
+			style.minWidth = minWidth;
+			style.maxWidth = maxWidth;
+		}
+	}
+
+	return ret !== undefined ?
+
+		// Support: IE <=9 - 11 only
+		// IE returns zIndex value as an integer.
+		ret + "" :
+		ret;
+}
+
+
+function addGetHookIf( conditionFn, hookFn ) {
+
+	// Define the hook, we'll check on the first run if it's really needed.
+	return {
+		get: function() {
+			if ( conditionFn() ) {
+
+				// Hook not needed (or it's not possible to use it due
+				// to missing dependency), remove it.
+				delete this.get;
+				return;
+			}
+
+			// Hook needed; redefine it so that the support test is not executed again.
+			return ( this.get = hookFn ).apply( this, arguments );
+		}
+	};
+}
+
+
+var
+
+	// Swappable if display is none or starts with table
+	// except "table", "table-cell", or "table-caption"
+	// See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
+	rdisplayswap = /^(none|table(?!-c[ea]).+)/,
+	rcustomProp = /^--/,
+	cssShow = { position: "absolute", visibility: "hidden", display: "block" },
+	cssNormalTransform = {
+		letterSpacing: "0",
+		fontWeight: "400"
+	},
+
+	cssPrefixes = [ "Webkit", "Moz", "ms" ],
+	emptyStyle = document.createElement( "div" ).style;
+
+// Return a css property mapped to a potentially vendor prefixed property
+function vendorPropName( name ) {
+
+	// Shortcut for names that are not vendor prefixed
+	if ( name in emptyStyle ) {
+		return name;
+	}
+
+	// Check for vendor prefixed names
+	var capName = name[ 0 ].toUpperCase() + name.slice( 1 ),
+		i = cssPrefixes.length;
+
+	while ( i-- ) {
+		name = cssPrefixes[ i ] + capName;
+		if ( name in emptyStyle ) {
+			return name;
+		}
+	}
+}
+
+// Return a property mapped along what jQuery.cssProps suggests or to
+// a vendor prefixed property.
+function finalPropName( name ) {
+	var ret = jQuery.cssProps[ name ];
+	if ( !ret ) {
+		ret = jQuery.cssProps[ name ] = vendorPropName( name ) || name;
+	}
+	return ret;
+}
+
+function setPositiveNumber( elem, value, subtract ) {
+
+	// Any relative (+/-) values have already been
+	// normalized at this point
+	var matches = rcssNum.exec( value );
+	return matches ?
+
+		// Guard against undefined "subtract", e.g., when used as in cssHooks
+		Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) :
+		value;
+}
+
+function augmentWidthOrHeight( elem, name, extra, isBorderBox, styles ) {
+	var i,
+		val = 0;
+
+	// If we already have the right measurement, avoid augmentation
+	if ( extra === ( isBorderBox ? "border" : "content" ) ) {
+		i = 4;
+
+	// Otherwise initialize for horizontal or vertical properties
+	} else {
+		i = name === "width" ? 1 : 0;
+	}
+
+	for ( ; i < 4; i += 2 ) {
+
+		// Both box models exclude margin, so add it if we want it
+		if ( extra === "margin" ) {
+			val += jQuery.css( elem, extra + cssExpand[ i ], true, styles );
+		}
+
+		if ( isBorderBox ) {
+
+			// border-box includes padding, so remove it if we want content
+			if ( extra === "content" ) {
+				val -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+			}
+
+			// At this point, extra isn't border nor margin, so remove border
+			if ( extra !== "margin" ) {
+				val -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+		} else {
+
+			// At this point, extra isn't content, so add padding
+			val += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+
+			// At this point, extra isn't content nor padding, so add border
+			if ( extra !== "padding" ) {
+				val += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+		}
+	}
+
+	return val;
+}
+
+function getWidthOrHeight( elem, name, extra ) {
+
+	// Start with computed style
+	var valueIsBorderBox,
+		styles = getStyles( elem ),
+		val = curCSS( elem, name, styles ),
+		isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box";
+
+	// Computed unit is not pixels. Stop here and return.
+	if ( rnumnonpx.test( val ) ) {
+		return val;
+	}
+
+	// Check for style in case a browser which returns unreliable values
+	// for getComputedStyle silently falls back to the reliable elem.style
+	valueIsBorderBox = isBorderBox &&
+		( support.boxSizingReliable() || val === elem.style[ name ] );
+
+	// Fall back to offsetWidth/Height when value is "auto"
+	// This happens for inline elements with no explicit setting (gh-3571)
+	if ( val === "auto" ) {
+		val = elem[ "offset" + name[ 0 ].toUpperCase() + name.slice( 1 ) ];
+	}
+
+	// Normalize "", auto, and prepare for extra
+	val = parseFloat( val ) || 0;
+
+	// Use the active box-sizing model to add/subtract irrelevant styles
+	return ( val +
+		augmentWidthOrHeight(
+			elem,
+			name,
+			extra || ( isBorderBox ? "border" : "content" ),
+			valueIsBorderBox,
+			styles
+		)
+	) + "px";
+}
+
+jQuery.extend( {
+
+	// Add in style property hooks for overriding the default
+	// behavior of getting and setting a style property
+	cssHooks: {
+		opacity: {
+			get: function( elem, computed ) {
+				if ( computed ) {
+
+					// We should always get a number back from opacity
+					var ret = curCSS( elem, "opacity" );
+					return ret === "" ? "1" : ret;
+				}
+			}
+		}
+	},
+
+	// Don't automatically add "px" to these possibly-unitless properties
+	cssNumber: {
+		"animationIterationCount": true,
+		"columnCount": true,
+		"fillOpacity": true,
+		"flexGrow": true,
+		"flexShrink": true,
+		"fontWeight": true,
+		"lineHeight": true,
+		"opacity": true,
+		"order": true,
+		"orphans": true,
+		"widows": true,
+		"zIndex": true,
+		"zoom": true
+	},
+
+	// Add in properties whose names you wish to fix before
+	// setting or getting the value
+	cssProps: {
+		"float": "cssFloat"
+	},
+
+	// Get and set the style property on a DOM Node
+	style: function( elem, name, value, extra ) {
+
+		// Don't set styles on text and comment nodes
+		if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) {
+			return;
+		}
+
+		// Make sure that we're working with the right name
+		var ret, type, hooks,
+			origName = jQuery.camelCase( name ),
+			isCustomProp = rcustomProp.test( name ),
+			style = elem.style;
+
+		// Make sure that we're working with the right name. We don't
+		// want to query the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Gets hook for the prefixed version, then unprefixed version
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// Check if we're setting a value
+		if ( value !== undefined ) {
+			type = typeof value;
+
+			// Convert "+=" or "-=" to relative numbers (#7345)
+			if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) {
+				value = adjustCSS( elem, name, ret );
+
+				// Fixes bug #9237
+				type = "number";
+			}
+
+			// Make sure that null and NaN values aren't set (#7116)
+			if ( value == null || value !== value ) {
+				return;
+			}
+
+			// If a number was passed in, add the unit (except for certain CSS properties)
+			if ( type === "number" ) {
+				value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" );
+			}
+
+			// background-* props affect original clone's values
+			if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) {
+				style[ name ] = "inherit";
+			}
+
+			// If a hook was provided, use that value, otherwise just set the specified value
+			if ( !hooks || !( "set" in hooks ) ||
+				( value = hooks.set( elem, value, extra ) ) !== undefined ) {
+
+				if ( isCustomProp ) {
+					style.setProperty( name, value );
+				} else {
+					style[ name ] = value;
+				}
+			}
+
+		} else {
+
+			// If a hook was provided get the non-computed value from there
+			if ( hooks && "get" in hooks &&
+				( ret = hooks.get( elem, false, extra ) ) !== undefined ) {
+
+				return ret;
+			}
+
+			// Otherwise just get the value from the style object
+			return style[ name ];
+		}
+	},
+
+	css: function( elem, name, extra, styles ) {
+		var val, num, hooks,
+			origName = jQuery.camelCase( name ),
+			isCustomProp = rcustomProp.test( name );
+
+		// Make sure that we're working with the right name. We don't
+		// want to modify the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Try prefixed name followed by the unprefixed name
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// If a hook was provided get the computed value from there
+		if ( hooks && "get" in hooks ) {
+			val = hooks.get( elem, true, extra );
+		}
+
+		// Otherwise, if a way to get the computed value exists, use that
+		if ( val === undefined ) {
+			val = curCSS( elem, name, styles );
+		}
+
+		// Convert "normal" to computed value
+		if ( val === "normal" && name in cssNormalTransform ) {
+			val = cssNormalTransform[ name ];
+		}
+
+		// Make numeric if forced or a qualifier was provided and val looks numeric
+		if ( extra === "" || extra ) {
+			num = parseFloat( val );
+			return extra === true || isFinite( num ) ? num || 0 : val;
+		}
+
+		return val;
+	}
+} );
+
+jQuery.each( [ "height", "width" ], function( i, name ) {
+	jQuery.cssHooks[ name ] = {
+		get: function( elem, computed, extra ) {
+			if ( computed ) {
+
+				// Certain elements can have dimension info if we invisibly show them
+				// but it must have a current display style that would benefit
+				return rdisplayswap.test( jQuery.css( elem, "display" ) ) &&
+
+					// Support: Safari 8+
+					// Table columns in Safari have non-zero offsetWidth & zero
+					// getBoundingClientRect().width unless display is changed.
+					// Support: IE <=11 only
+					// Running getBoundingClientRect on a disconnected node
+					// in IE throws an error.
+					( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ?
+						swap( elem, cssShow, function() {
+							return getWidthOrHeight( elem, name, extra );
+						} ) :
+						getWidthOrHeight( elem, name, extra );
+			}
+		},
+
+		set: function( elem, value, extra ) {
+			var matches,
+				styles = extra && getStyles( elem ),
+				subtract = extra && augmentWidthOrHeight(
+					elem,
+					name,
+					extra,
+					jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+					styles
+				);
+
+			// Convert to pixels if value adjustment is needed
+			if ( subtract && ( matches = rcssNum.exec( value ) ) &&
+				( matches[ 3 ] || "px" ) !== "px" ) {
+
+				elem.style[ name ] = value;
+				value = jQuery.css( elem, name );
+			}
+
+			return setPositiveNumber( elem, value, subtract );
+		}
+	};
+} );
+
+jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft,
+	function( elem, computed ) {
+		if ( computed ) {
+			return ( parseFloat( curCSS( elem, "marginLeft" ) ) ||
+				elem.getBoundingClientRect().left -
+					swap( elem, { marginLeft: 0 }, function() {
+						return elem.getBoundingClientRect().left;
+					} )
+				) + "px";
+		}
+	}
+);
+
+// These hooks are used by animate to expand properties
+jQuery.each( {
+	margin: "",
+	padding: "",
+	border: "Width"
+}, function( prefix, suffix ) {
+	jQuery.cssHooks[ prefix + suffix ] = {
+		expand: function( value ) {
+			var i = 0,
+				expanded = {},
+
+				// Assumes a single number if not a string
+				parts = typeof value === "string" ? value.split( " " ) : [ value ];
+
+			for ( ; i < 4; i++ ) {
+				expanded[ prefix + cssExpand[ i ] + suffix ] =
+					parts[ i ] || parts[ i - 2 ] || parts[ 0 ];
+			}
+
+			return expanded;
+		}
+	};
+
+	if ( !rmargin.test( prefix ) ) {
+		jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber;
+	}
+} );
+
+jQuery.fn.extend( {
+	css: function( name, value ) {
+		return access( this, function( elem, name, value ) {
+			var styles, len,
+				map = {},
+				i = 0;
+
+			if ( Array.isArray( name ) ) {
+				styles = getStyles( elem );
+				len = name.length;
+
+				for ( ; i < len; i++ ) {
+					map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles );
+				}
+
+				return map;
+			}
+
+			return value !== undefined ?
+				jQuery.style( elem, name, value ) :
+				jQuery.css( elem, name );
+		}, name, value, arguments.length > 1 );
+	}
+} );
+
+
+function Tween( elem, options, prop, end, easing ) {
+	return new Tween.prototype.init( elem, options, prop, end, easing );
+}
+jQuery.Tween = Tween;
+
+Tween.prototype = {
+	constructor: Tween,
+	init: function( elem, options, prop, end, easing, unit ) {
+		this.elem = elem;
+		this.prop = prop;
+		this.easing = easing || jQuery.easing._default;
+		this.options = options;
+		this.start = this.now = this.cur();
+		this.end = end;
+		this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" );
+	},
+	cur: function() {
+		var hooks = Tween.propHooks[ this.prop ];
+
+		return hooks && hooks.get ?
+			hooks.get( this ) :
+			Tween.propHooks._default.get( this );
+	},
+	run: function( percent ) {
+		var eased,
+			hooks = Tween.propHooks[ this.prop ];
+
+		if ( this.options.duration ) {
+			this.pos = eased = jQuery.easing[ this.easing ](
+				percent, this.options.duration * percent, 0, 1, this.options.duration
+			);
+		} else {
+			this.pos = eased = percent;
+		}
+		this.now = ( this.end - this.start ) * eased + this.start;
+
+		if ( this.options.step ) {
+			this.options.step.call( this.elem, this.now, this );
+		}
+
+		if ( hooks && hooks.set ) {
+			hooks.set( this );
+		} else {
+			Tween.propHooks._default.set( this );
+		}
+		return this;
+	}
+};
+
+Tween.prototype.init.prototype = Tween.prototype;
+
+Tween.propHooks = {
+	_default: {
+		get: function( tween ) {
+			var result;
+
+			// Use a property on the element directly when it is not a DOM element,
+			// or when there is no matching style property that exists.
+			if ( tween.elem.nodeType !== 1 ||
+				tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) {
+				return tween.elem[ tween.prop ];
+			}
+
+			// Passing an empty string as a 3rd parameter to .css will automatically
+			// attempt a parseFloat and fallback to a string if the parse fails.
+			// Simple values such as "10px" are parsed to Float;
+			// complex values such as "rotate(1rad)" are returned as-is.
+			result = jQuery.css( tween.elem, tween.prop, "" );
+
+			// Empty strings, null, undefined and "auto" are converted to 0.
+			return !result || result === "auto" ? 0 : result;
+		},
+		set: function( tween ) {
+
+			// Use step hook for back compat.
+			// Use cssHook if its there.
+			// Use .style if available and use plain properties where available.
+			if ( jQuery.fx.step[ tween.prop ] ) {
+				jQuery.fx.step[ tween.prop ]( tween );
+			} else if ( tween.elem.nodeType === 1 &&
+				( tween.elem.style[ jQuery.cssProps[ tween.prop ] ] != null ||
+					jQuery.cssHooks[ tween.prop ] ) ) {
+				jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
+			} else {
+				tween.elem[ tween.prop ] = tween.now;
+			}
+		}
+	}
+};
+
+// Support: IE <=9 only
+// Panic based approach to setting things on disconnected nodes
+Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = {
+	set: function( tween ) {
+		if ( tween.elem.nodeType && tween.elem.parentNode ) {
+			tween.elem[ tween.prop ] = tween.now;
+		}
+	}
+};
+
+jQuery.easing = {
+	linear: function( p ) {
+		return p;
+	},
+	swing: function( p ) {
+		return 0.5 - Math.cos( p * Math.PI ) / 2;
+	},
+	_default: "swing"
+};
+
+jQuery.fx = Tween.prototype.init;
+
+// Back compat <1.8 extension point
+jQuery.fx.step = {};
+
+
+
+
+var
+	fxNow, inProgress,
+	rfxtypes = /^(?:toggle|show|hide)$/,
+	rrun = /queueHooks$/;
+
+function schedule() {
+	if ( inProgress ) {
+		if ( document.hidden === false && window.requestAnimationFrame ) {
+			window.requestAnimationFrame( schedule );
+		} else {
+			window.setTimeout( schedule, jQuery.fx.interval );
+		}
+
+		jQuery.fx.tick();
+	}
+}
+
+// Animations created synchronously will run synchronously
+function createFxNow() {
+	window.setTimeout( function() {
+		fxNow = undefined;
+	} );
+	return ( fxNow = jQuery.now() );
+}
+
+// Generate parameters to create a standard animation
+function genFx( type, includeWidth ) {
+	var which,
+		i = 0,
+		attrs = { height: type };
+
+	// If we include width, step value is 1 to do all cssExpand values,
+	// otherwise step value is 2 to skip over Left and Right
+	includeWidth = includeWidth ? 1 : 0;
+	for ( ; i < 4; i += 2 - includeWidth ) {
+		which = cssExpand[ i ];
+		attrs[ "margin" + which ] = attrs[ "padding" + which ] = type;
+	}
+
+	if ( includeWidth ) {
+		attrs.opacity = attrs.width = type;
+	}
+
+	return attrs;
+}
+
+function createTween( value, prop, animation ) {
+	var tween,
+		collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ),
+		index = 0,
+		length = collection.length;
+	for ( ; index < length; index++ ) {
+		if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) {
+
+			// We're done with this property
+			return tween;
+		}
+	}
+}
+
+function defaultPrefilter( elem, props, opts ) {
+	var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display,
+		isBox = "width" in props || "height" in props,
+		anim = this,
+		orig = {},
+		style = elem.style,
+		hidden = elem.nodeType && isHiddenWithinTree( elem ),
+		dataShow = dataPriv.get( elem, "fxshow" );
+
+	// Queue-skipping animations hijack the fx hooks
+	if ( !opts.queue ) {
+		hooks = jQuery._queueHooks( elem, "fx" );
+		if ( hooks.unqueued == null ) {
+			hooks.unqueued = 0;
+			oldfire = hooks.empty.fire;
+			hooks.empty.fire = function() {
+				if ( !hooks.unqueued ) {
+					oldfire();
+				}
+			};
+		}
+		hooks.unqueued++;
+
+		anim.always( function() {
+
+			// Ensure the complete handler is called before this completes
+			anim.always( function() {
+				hooks.unqueued--;
+				if ( !jQuery.queue( elem, "fx" ).length ) {
+					hooks.empty.fire();
+				}
+			} );
+		} );
+	}
+
+	// Detect show/hide animations
+	for ( prop in props ) {
+		value = props[ prop ];
+		if ( rfxtypes.test( value ) ) {
+			delete props[ prop ];
+			toggle = toggle || value === "toggle";
+			if ( value === ( hidden ? "hide" : "show" ) ) {
+
+				// Pretend to be hidden if this is a "show" and
+				// there is still data from a stopped show/hide
+				if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) {
+					hidden = true;
+
+				// Ignore all other no-op show/hide data
+				} else {
+					continue;
+				}
+			}
+			orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop );
+		}
+	}
+
+	// Bail out if this is a no-op like .hide().hide()
+	propTween = !jQuery.isEmptyObject( props );
+	if ( !propTween && jQuery.isEmptyObject( orig ) ) {
+		return;
+	}
+
+	// Restrict "overflow" and "display" styles during box animations
+	if ( isBox && elem.nodeType === 1 ) {
+
+		// Support: IE <=9 - 11, Edge 12 - 13
+		// Record all 3 overflow attributes because IE does not infer the shorthand
+		// from identically-valued overflowX and overflowY
+		opts.overflow = [ style.overflow, style.overflowX, style.overflowY ];
+
+		// Identify a display type, preferring old show/hide data over the CSS cascade
+		restoreDisplay = dataShow && dataShow.display;
+		if ( restoreDisplay == null ) {
+			restoreDisplay = dataPriv.get( elem, "display" );
+		}
+		display = jQuery.css( elem, "display" );
+		if ( display === "none" ) {
+			if ( restoreDisplay ) {
+				display = restoreDisplay;
+			} else {
+
+				// Get nonempty value(s) by temporarily forcing visibility
+				showHide( [ elem ], true );
+				restoreDisplay = elem.style.display || restoreDisplay;
+				display = jQuery.css( elem, "display" );
+				showHide( [ elem ] );
+			}
+		}
+
+		// Animate inline elements as inline-block
+		if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) {
+			if ( jQuery.css( elem, "float" ) === "none" ) {
+
+				// Restore the original display value at the end of pure show/hide animations
+				if ( !propTween ) {
+					anim.done( function() {
+						style.display = restoreDisplay;
+					} );
+					if ( restoreDisplay == null ) {
+						display = style.display;
+						restoreDisplay = display === "none" ? "" : display;
+					}
+				}
+				style.display = "inline-block";
+			}
+		}
+	}
+
+	if ( opts.overflow ) {
+		style.overflow = "hidden";
+		anim.always( function() {
+			style.overflow = opts.overflow[ 0 ];
+			style.overflowX = opts.overflow[ 1 ];
+			style.overflowY = opts.overflow[ 2 ];
+		} );
+	}
+
+	// Implement show/hide animations
+	propTween = false;
+	for ( prop in orig ) {
+
+		// General show/hide setup for this element animation
+		if ( !propTween ) {
+			if ( dataShow ) {
+				if ( "hidden" in dataShow ) {
+					hidden = dataShow.hidden;
+				}
+			} else {
+				dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } );
+			}
+
+			// Store hidden/visible for toggle so `.stop().toggle()` "reverses"
+			if ( toggle ) {
+				dataShow.hidden = !hidden;
+			}
+
+			// Show elements before animating them
+			if ( hidden ) {
+				showHide( [ elem ], true );
+			}
+
+			/* eslint-disable no-loop-func */
+
+			anim.done( function() {
+
+			/* eslint-enable no-loop-func */
+
+				// The final step of a "hide" animation is actually hiding the element
+				if ( !hidden ) {
+					showHide( [ elem ] );
+				}
+				dataPriv.remove( elem, "fxshow" );
+				for ( prop in orig ) {
+					jQuery.style( elem, prop, orig[ prop ] );
+				}
+			} );
+		}
+
+		// Per-property setup
+		propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim );
+		if ( !( prop in dataShow ) ) {
+			dataShow[ prop ] = propTween.start;
+			if ( hidden ) {
+				propTween.end = propTween.start;
+				propTween.start = 0;
+			}
+		}
+	}
+}
+
+function propFilter( props, specialEasing ) {
+	var index, name, easing, value, hooks;
+
+	// camelCase, specialEasing and expand cssHook pass
+	for ( index in props ) {
+		name = jQuery.camelCase( index );
+		easing = specialEasing[ name ];
+		value = props[ index ];
+		if ( Array.isArray( value ) ) {
+			easing = value[ 1 ];
+			value = props[ index ] = value[ 0 ];
+		}
+
+		if ( index !== name ) {
+			props[ name ] = value;
+			delete props[ index ];
+		}
+
+		hooks = jQuery.cssHooks[ name ];
+		if ( hooks && "expand" in hooks ) {
+			value = hooks.expand( value );
+			delete props[ name ];
+
+			// Not quite $.extend, this won't overwrite existing keys.
+			// Reusing 'index' because we have the correct "name"
+			for ( index in value ) {
+				if ( !( index in props ) ) {
+					props[ index ] = value[ index ];
+					specialEasing[ index ] = easing;
+				}
+			}
+		} else {
+			specialEasing[ name ] = easing;
+		}
+	}
+}
+
+function Animation( elem, properties, options ) {
+	var result,
+		stopped,
+		index = 0,
+		length = Animation.prefilters.length,
+		deferred = jQuery.Deferred().always( function() {
+
+			// Don't match elem in the :animated selector
+			delete tick.elem;
+		} ),
+		tick = function() {
+			if ( stopped ) {
+				return false;
+			}
+			var currentTime = fxNow || createFxNow(),
+				remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
+
+				// Support: Android 2.3 only
+				// Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
+				temp = remaining / animation.duration || 0,
+				percent = 1 - temp,
+				index = 0,
+				length = animation.tweens.length;
+
+			for ( ; index < length; index++ ) {
+				animation.tweens[ index ].run( percent );
+			}
+
+			deferred.notifyWith( elem, [ animation, percent, remaining ] );
+
+			// If there's more to do, yield
+			if ( percent < 1 && length ) {
+				return remaining;
+			}
+
+			// If this was an empty animation, synthesize a final progress notification
+			if ( !length ) {
+				deferred.notifyWith( elem, [ animation, 1, 0 ] );
+			}
+
+			// Resolve the animation and report its conclusion
+			deferred.resolveWith( elem, [ animation ] );
+			return false;
+		},
+		animation = deferred.promise( {
+			elem: elem,
+			props: jQuery.extend( {}, properties ),
+			opts: jQuery.extend( true, {
+				specialEasing: {},
+				easing: jQuery.easing._default
+			}, options ),
+			originalProperties: properties,
+			originalOptions: options,
+			startTime: fxNow || createFxNow(),
+			duration: options.duration,
+			tweens: [],
+			createTween: function( prop, end ) {
+				var tween = jQuery.Tween( elem, animation.opts, prop, end,
+						animation.opts.specialEasing[ prop ] || animation.opts.easing );
+				animation.tweens.push( tween );
+				return tween;
+			},
+			stop: function( gotoEnd ) {
+				var index = 0,
+
+					// If we are going to the end, we want to run all the tweens
+					// otherwise we skip this part
+					length = gotoEnd ? animation.tweens.length : 0;
+				if ( stopped ) {
+					return this;
+				}
+				stopped = true;
+				for ( ; index < length; index++ ) {
+					animation.tweens[ index ].run( 1 );
+				}
+
+				// Resolve when we played the last frame; otherwise, reject
+				if ( gotoEnd ) {
+					deferred.notifyWith( elem, [ animation, 1, 0 ] );
+					deferred.resolveWith( elem, [ animation, gotoEnd ] );
+				} else {
+					deferred.rejectWith( elem, [ animation, gotoEnd ] );
+				}
+				return this;
+			}
+		} ),
+		props = animation.props;
+
+	propFilter( props, animation.opts.specialEasing );
+
+	for ( ; index < length; index++ ) {
+		result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts );
+		if ( result ) {
+			if ( jQuery.isFunction( result.stop ) ) {
+				jQuery._queueHooks( animation.elem, animation.opts.queue ).stop =
+					jQuery.proxy( result.stop, result );
+			}
+			return result;
+		}
+	}
+
+	jQuery.map( props, createTween, animation );
+
+	if ( jQuery.isFunction( animation.opts.start ) ) {
+		animation.opts.start.call( elem, animation );
+	}
+
+	// Attach callbacks from options
+	animation
+		.progress( animation.opts.progress )
+		.done( animation.opts.done, animation.opts.complete )
+		.fail( animation.opts.fail )
+		.always( animation.opts.always );
+
+	jQuery.fx.timer(
+		jQuery.extend( tick, {
+			elem: elem,
+			anim: animation,
+			queue: animation.opts.queue
+		} )
+	);
+
+	return animation;
+}
+
+jQuery.Animation = jQuery.extend( Animation, {
+
+	tweeners: {
+		"*": [ function( prop, value ) {
+			var tween = this.createTween( prop, value );
+			adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween );
+			return tween;
+		} ]
+	},
+
+	tweener: function( props, callback ) {
+		if ( jQuery.isFunction( props ) ) {
+			callback = props;
+			props = [ "*" ];
+		} else {
+			props = props.match( rnothtmlwhite );
+		}
+
+		var prop,
+			index = 0,
+			length = props.length;
+
+		for ( ; index < length; index++ ) {
+			prop = props[ index ];
+			Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || [];
+			Animation.tweeners[ prop ].unshift( callback );
+		}
+	},
+
+	prefilters: [ defaultPrefilter ],
+
+	prefilter: function( callback, prepend ) {
+		if ( prepend ) {
+			Animation.prefilters.unshift( callback );
+		} else {
+			Animation.prefilters.push( callback );
+		}
+	}
+} );
+
+jQuery.speed = function( speed, easing, fn ) {
+	var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : {
+		complete: fn || !fn && easing ||
+			jQuery.isFunction( speed ) && speed,
+		duration: speed,
+		easing: fn && easing || easing && !jQuery.isFunction( easing ) && easing
+	};
+
+	// Go to the end state if fx are off
+	if ( jQuery.fx.off ) {
+		opt.duration = 0;
+
+	} else {
+		if ( typeof opt.duration !== "number" ) {
+			if ( opt.duration in jQuery.fx.speeds ) {
+				opt.duration = jQuery.fx.speeds[ opt.duration ];
+
+			} else {
+				opt.duration = jQuery.fx.speeds._default;
+			}
+		}
+	}
+
+	// Normalize opt.queue - true/undefined/null -> "fx"
+	if ( opt.queue == null || opt.queue === true ) {
+		opt.queue = "fx";
+	}
+
+	// Queueing
+	opt.old = opt.complete;
+
+	opt.complete = function() {
+		if ( jQuery.isFunction( opt.old ) ) {
+			opt.old.call( this );
+		}
+
+		if ( opt.queue ) {
+			jQuery.dequeue( this, opt.queue );
+		}
+	};
+
+	return opt;
+};
+
+jQuery.fn.extend( {
+	fadeTo: function( speed, to, easing, callback ) {
+
+		// Show any hidden elements after setting opacity to 0
+		return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show()
+
+			// Animate to the value specified
+			.end().animate( { opacity: to }, speed, easing, callback );
+	},
+	animate: function( prop, speed, easing, callback ) {
+		var empty = jQuery.isEmptyObject( prop ),
+			optall = jQuery.speed( speed, easing, callback ),
+			doAnimation = function() {
+
+				// Operate on a copy of prop so per-property easing won't be lost
+				var anim = Animation( this, jQuery.extend( {}, prop ), optall );
+
+				// Empty animations, or finishing resolves immediately
+				if ( empty || dataPriv.get( this, "finish" ) ) {
+					anim.stop( true );
+				}
+			};
+			doAnimation.finish = doAnimation;
+
+		return empty || optall.queue === false ?
+			this.each( doAnimation ) :
+			this.queue( optall.queue, doAnimation );
+	},
+	stop: function( type, clearQueue, gotoEnd ) {
+		var stopQueue = function( hooks ) {
+			var stop = hooks.stop;
+			delete hooks.stop;
+			stop( gotoEnd );
+		};
+
+		if ( typeof type !== "string" ) {
+			gotoEnd = clearQueue;
+			clearQueue = type;
+			type = undefined;
+		}
+		if ( clearQueue && type !== false ) {
+			this.queue( type || "fx", [] );
+		}
+
+		return this.each( function() {
+			var dequeue = true,
+				index = type != null && type + "queueHooks",
+				timers = jQuery.timers,
+				data = dataPriv.get( this );
+
+			if ( index ) {
+				if ( data[ index ] && data[ index ].stop ) {
+					stopQueue( data[ index ] );
+				}
+			} else {
+				for ( index in data ) {
+					if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) {
+						stopQueue( data[ index ] );
+					}
+				}
+			}
+
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this &&
+					( type == null || timers[ index ].queue === type ) ) {
+
+					timers[ index ].anim.stop( gotoEnd );
+					dequeue = false;
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Start the next in the queue if the last step wasn't forced.
+			// Timers currently will call their complete callbacks, which
+			// will dequeue but only if they were gotoEnd.
+			if ( dequeue || !gotoEnd ) {
+				jQuery.dequeue( this, type );
+			}
+		} );
+	},
+	finish: function( type ) {
+		if ( type !== false ) {
+			type = type || "fx";
+		}
+		return this.each( function() {
+			var index,
+				data = dataPriv.get( this ),
+				queue = data[ type + "queue" ],
+				hooks = data[ type + "queueHooks" ],
+				timers = jQuery.timers,
+				length = queue ? queue.length : 0;
+
+			// Enable finishing flag on private data
+			data.finish = true;
+
+			// Empty the queue first
+			jQuery.queue( this, type, [] );
+
+			if ( hooks && hooks.stop ) {
+				hooks.stop.call( this, true );
+			}
+
+			// Look for any active animations, and finish them
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this && timers[ index ].queue === type ) {
+					timers[ index ].anim.stop( true );
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Look for any animations in the old queue and finish them
+			for ( index = 0; index < length; index++ ) {
+				if ( queue[ index ] && queue[ index ].finish ) {
+					queue[ index ].finish.call( this );
+				}
+			}
+
+			// Turn off finishing flag
+			delete data.finish;
+		} );
+	}
+} );
+
+jQuery.each( [ "toggle", "show", "hide" ], function( i, name ) {
+	var cssFn = jQuery.fn[ name ];
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return speed == null || typeof speed === "boolean" ?
+			cssFn.apply( this, arguments ) :
+			this.animate( genFx( name, true ), speed, easing, callback );
+	};
+} );
+
+// Generate shortcuts for custom animations
+jQuery.each( {
+	slideDown: genFx( "show" ),
+	slideUp: genFx( "hide" ),
+	slideToggle: genFx( "toggle" ),
+	fadeIn: { opacity: "show" },
+	fadeOut: { opacity: "hide" },
+	fadeToggle: { opacity: "toggle" }
+}, function( name, props ) {
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return this.animate( props, speed, easing, callback );
+	};
+} );
+
+jQuery.timers = [];
+jQuery.fx.tick = function() {
+	var timer,
+		i = 0,
+		timers = jQuery.timers;
+
+	fxNow = jQuery.now();
+
+	for ( ; i < timers.length; i++ ) {
+		timer = timers[ i ];
+
+		// Run the timer and safely remove it when done (allowing for external removal)
+		if ( !timer() && timers[ i ] === timer ) {
+			timers.splice( i--, 1 );
+		}
+	}
+
+	if ( !timers.length ) {
+		jQuery.fx.stop();
+	}
+	fxNow = undefined;
+};
+
+jQuery.fx.timer = function( timer ) {
+	jQuery.timers.push( timer );
+	jQuery.fx.start();
+};
+
+jQuery.fx.interval = 13;
+jQuery.fx.start = function() {
+	if ( inProgress ) {
+		return;
+	}
+
+	inProgress = true;
+	schedule();
+};
+
+jQuery.fx.stop = function() {
+	inProgress = null;
+};
+
+jQuery.fx.speeds = {
+	slow: 600,
+	fast: 200,
+
+	// Default speed
+	_default: 400
+};
+
+
+// Based off of the plugin by Clint Helfers, with permission.
+// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/
+jQuery.fn.delay = function( time, type ) {
+	time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
+	type = type || "fx";
+
+	return this.queue( type, function( next, hooks ) {
+		var timeout = window.setTimeout( next, time );
+		hooks.stop = function() {
+			window.clearTimeout( timeout );
+		};
+	} );
+};
+
+
+( function() {
+	var input = document.createElement( "input" ),
+		select = document.createElement( "select" ),
+		opt = select.appendChild( document.createElement( "option" ) );
+
+	input.type = "checkbox";
+
+	// Support: Android <=4.3 only
+	// Default value for a checkbox should be "on"
+	support.checkOn = input.value !== "";
+
+	// Support: IE <=11 only
+	// Must access selectedIndex to make default options select
+	support.optSelected = opt.selected;
+
+	// Support: IE <=11 only
+	// An input loses its value after becoming a radio
+	input = document.createElement( "input" );
+	input.value = "t";
+	input.type = "radio";
+	support.radioValue = input.value === "t";
+} )();
+
+
+var boolHook,
+	attrHandle = jQuery.expr.attrHandle;
+
+jQuery.fn.extend( {
+	attr: function( name, value ) {
+		return access( this, jQuery.attr, name, value, arguments.length > 1 );
+	},
+
+	removeAttr: function( name ) {
+		return this.each( function() {
+			jQuery.removeAttr( this, name );
+		} );
+	}
+} );
+
+jQuery.extend( {
+	attr: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set attributes on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		// Fallback to prop when attributes are not supported
+		if ( typeof elem.getAttribute === "undefined" ) {
+			return jQuery.prop( elem, name, value );
+		}
+
+		// Attribute hooks are determined by the lowercase version
+		// Grab necessary hook if one is defined
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+			hooks = jQuery.attrHooks[ name.toLowerCase() ] ||
+				( jQuery.expr.match.bool.test( name ) ? boolHook : undefined );
+		}
+
+		if ( value !== undefined ) {
+			if ( value === null ) {
+				jQuery.removeAttr( elem, name );
+				return;
+			}
+
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			elem.setAttribute( name, value + "" );
+			return value;
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		ret = jQuery.find.attr( elem, name );
+
+		// Non-existent attributes return null, we normalize to undefined
+		return ret == null ? undefined : ret;
+	},
+
+	attrHooks: {
+		type: {
+			set: function( elem, value ) {
+				if ( !support.radioValue && value === "radio" &&
+					nodeName( elem, "input" ) ) {
+					var val = elem.value;
+					elem.setAttribute( "type", value );
+					if ( val ) {
+						elem.value = val;
+					}
+					return value;
+				}
+			}
+		}
+	},
+
+	removeAttr: function( elem, value ) {
+		var name,
+			i = 0,
+
+			// Attribute names can contain non-HTML whitespace characters
+			// https://html.spec.whatwg.org/multipage/syntax.html#attributes-2
+			attrNames = value && value.match( rnothtmlwhite );
+
+		if ( attrNames && elem.nodeType === 1 ) {
+			while ( ( name = attrNames[ i++ ] ) ) {
+				elem.removeAttribute( name );
+			}
+		}
+	}
+} );
+
+// Hooks for boolean attributes
+boolHook = {
+	set: function( elem, value, name ) {
+		if ( value === false ) {
+
+			// Remove boolean attributes when set to false
+			jQuery.removeAttr( elem, name );
+		} else {
+			elem.setAttribute( name, name );
+		}
+		return name;
+	}
+};
+
+jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( i, name ) {
+	var getter = attrHandle[ name ] || jQuery.find.attr;
+
+	attrHandle[ name ] = function( elem, name, isXML ) {
+		var ret, handle,
+			lowercaseName = name.toLowerCase();
+
+		if ( !isXML ) {
+
+			// Avoid an infinite loop by temporarily removing this function from the getter
+			handle = attrHandle[ lowercaseName ];
+			attrHandle[ lowercaseName ] = ret;
+			ret = getter( elem, name, isXML ) != null ?
+				lowercaseName :
+				null;
+			attrHandle[ lowercaseName ] = handle;
+		}
+		return ret;
+	};
+} );
+
+
+
+
+var rfocusable = /^(?:input|select|textarea|button)$/i,
+	rclickable = /^(?:a|area)$/i;
+
+jQuery.fn.extend( {
+	prop: function( name, value ) {
+		return access( this, jQuery.prop, name, value, arguments.length > 1 );
+	},
+
+	removeProp: function( name ) {
+		return this.each( function() {
+			delete this[ jQuery.propFix[ name ] || name ];
+		} );
+	}
+} );
+
+jQuery.extend( {
+	prop: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set properties on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+
+			// Fix name and attach hooks
+			name = jQuery.propFix[ name ] || name;
+			hooks = jQuery.propHooks[ name ];
+		}
+
+		if ( value !== undefined ) {
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			return ( elem[ name ] = value );
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		return elem[ name ];
+	},
+
+	propHooks: {
+		tabIndex: {
+			get: function( elem ) {
+
+				// Support: IE <=9 - 11 only
+				// elem.tabIndex doesn't always return the
+				// correct value when it hasn't been explicitly set
+				// https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/
+				// Use proper attribute retrieval(#12072)
+				var tabindex = jQuery.find.attr( elem, "tabindex" );
+
+				if ( tabindex ) {
+					return parseInt( tabindex, 10 );
+				}
+
+				if (
+					rfocusable.test( elem.nodeName ) ||
+					rclickable.test( elem.nodeName ) &&
+					elem.href
+				) {
+					return 0;
+				}
+
+				return -1;
+			}
+		}
+	},
+
+	propFix: {
+		"for": "htmlFor",
+		"class": "className"
+	}
+} );
+
+// Support: IE <=11 only
+// Accessing the selectedIndex property
+// forces the browser to respect setting selected
+// on the option
+// The getter ensures a default option is selected
+// when in an optgroup
+// eslint rule "no-unused-expressions" is disabled for this code
+// since it considers such accessions noop
+if ( !support.optSelected ) {
+	jQuery.propHooks.selected = {
+		get: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent && parent.parentNode ) {
+				parent.parentNode.selectedIndex;
+			}
+			return null;
+		},
+		set: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent ) {
+				parent.selectedIndex;
+
+				if ( parent.parentNode ) {
+					parent.parentNode.selectedIndex;
+				}
+			}
+		}
+	};
+}
+
+jQuery.each( [
+	"tabIndex",
+	"readOnly",
+	"maxLength",
+	"cellSpacing",
+	"cellPadding",
+	"rowSpan",
+	"colSpan",
+	"useMap",
+	"frameBorder",
+	"contentEditable"
+], function() {
+	jQuery.propFix[ this.toLowerCase() ] = this;
+} );
+
+
+
+
+	// Strip and collapse whitespace according to HTML spec
+	// https://html.spec.whatwg.org/multipage/infrastructure.html#strip-and-collapse-whitespace
+	function stripAndCollapse( value ) {
+		var tokens = value.match( rnothtmlwhite ) || [];
+		return tokens.join( " " );
+	}
+
+
+function getClass( elem ) {
+	return elem.getAttribute && elem.getAttribute( "class" ) || "";
+}
+
+jQuery.fn.extend( {
+	addClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( jQuery.isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).addClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		if ( typeof value === "string" && value ) {
+			classes = value.match( rnothtmlwhite ) || [];
+
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+						if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
+							cur += clazz + " ";
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	removeClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( jQuery.isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		if ( !arguments.length ) {
+			return this.attr( "class", "" );
+		}
+
+		if ( typeof value === "string" && value ) {
+			classes = value.match( rnothtmlwhite ) || [];
+
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+
+				// This expression is here for better compressibility (see addClass)
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+
+						// Remove *all* instances
+						while ( cur.indexOf( " " + clazz + " " ) > -1 ) {
+							cur = cur.replace( " " + clazz + " ", " " );
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	toggleClass: function( value, stateVal ) {
+		var type = typeof value;
+
+		if ( typeof stateVal === "boolean" && type === "string" ) {
+			return stateVal ? this.addClass( value ) : this.removeClass( value );
+		}
+
+		if ( jQuery.isFunction( value ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).toggleClass(
+					value.call( this, i, getClass( this ), stateVal ),
+					stateVal
+				);
+			} );
+		}
+
+		return this.each( function() {
+			var className, i, self, classNames;
+
+			if ( type === "string" ) {
+
+				// Toggle individual class names
+				i = 0;
+				self = jQuery( this );
+				classNames = value.match( rnothtmlwhite ) || [];
+
+				while ( ( className = classNames[ i++ ] ) ) {
+
+					// Check each className given, space separated list
+					if ( self.hasClass( className ) ) {
+						self.removeClass( className );
+					} else {
+						self.addClass( className );
+					}
+				}
+
+			// Toggle whole class name
+			} else if ( value === undefined || type === "boolean" ) {
+				className = getClass( this );
+				if ( className ) {
+
+					// Store className if set
+					dataPriv.set( this, "__className__", className );
+				}
+
+				// If the element has a class name or if we're passed `false`,
+				// then remove the whole classname (if there was one, the above saved it).
+				// Otherwise bring back whatever was previously saved (if anything),
+				// falling back to the empty string if nothing was stored.
+				if ( this.setAttribute ) {
+					this.setAttribute( "class",
+						className || value === false ?
+						"" :
+						dataPriv.get( this, "__className__" ) || ""
+					);
+				}
+			}
+		} );
+	},
+
+	hasClass: function( selector ) {
+		var className, elem,
+			i = 0;
+
+		className = " " + selector + " ";
+		while ( ( elem = this[ i++ ] ) ) {
+			if ( elem.nodeType === 1 &&
+				( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) {
+					return true;
+			}
+		}
+
+		return false;
+	}
+} );
+
+
+
+
+var rreturn = /\r/g;
+
+jQuery.fn.extend( {
+	val: function( value ) {
+		var hooks, ret, isFunction,
+			elem = this[ 0 ];
+
+		if ( !arguments.length ) {
+			if ( elem ) {
+				hooks = jQuery.valHooks[ elem.type ] ||
+					jQuery.valHooks[ elem.nodeName.toLowerCase() ];
+
+				if ( hooks &&
+					"get" in hooks &&
+					( ret = hooks.get( elem, "value" ) ) !== undefined
+				) {
+					return ret;
+				}
+
+				ret = elem.value;
+
+				// Handle most common string cases
+				if ( typeof ret === "string" ) {
+					return ret.replace( rreturn, "" );
+				}
+
+				// Handle cases where value is null/undef or number
+				return ret == null ? "" : ret;
+			}
+
+			return;
+		}
+
+		isFunction = jQuery.isFunction( value );
+
+		return this.each( function( i ) {
+			var val;
+
+			if ( this.nodeType !== 1 ) {
+				return;
+			}
+
+			if ( isFunction ) {
+				val = value.call( this, i, jQuery( this ).val() );
+			} else {
+				val = value;
+			}
+
+			// Treat null/undefined as ""; convert numbers to string
+			if ( val == null ) {
+				val = "";
+
+			} else if ( typeof val === "number" ) {
+				val += "";
+
+			} else if ( Array.isArray( val ) ) {
+				val = jQuery.map( val, function( value ) {
+					return value == null ? "" : value + "";
+				} );
+			}
+
+			hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ];
+
+			// If set returns undefined, fall back to normal setting
+			if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) {
+				this.value = val;
+			}
+		} );
+	}
+} );
+
+jQuery.extend( {
+	valHooks: {
+		option: {
+			get: function( elem ) {
+
+				var val = jQuery.find.attr( elem, "value" );
+				return val != null ?
+					val :
+
+					// Support: IE <=10 - 11 only
+					// option.text throws exceptions (#14686, #14858)
+					// Strip and collapse whitespace
+					// https://html.spec.whatwg.org/#strip-and-collapse-whitespace
+					stripAndCollapse( jQuery.text( elem ) );
+			}
+		},
+		select: {
+			get: function( elem ) {
+				var value, option, i,
+					options = elem.options,
+					index = elem.selectedIndex,
+					one = elem.type === "select-one",
+					values = one ? null : [],
+					max = one ? index + 1 : options.length;
+
+				if ( index < 0 ) {
+					i = max;
+
+				} else {
+					i = one ? index : 0;
+				}
+
+				// Loop through all the selected options
+				for ( ; i < max; i++ ) {
+					option = options[ i ];
+
+					// Support: IE <=9 only
+					// IE8-9 doesn't update selected after form reset (#2551)
+					if ( ( option.selected || i === index ) &&
+
+							// Don't return options that are disabled or in a disabled optgroup
+							!option.disabled &&
+							( !option.parentNode.disabled ||
+								!nodeName( option.parentNode, "optgroup" ) ) ) {
+
+						// Get the specific value for the option
+						value = jQuery( option ).val();
+
+						// We don't need an array for one selects
+						if ( one ) {
+							return value;
+						}
+
+						// Multi-Selects return an array
+						values.push( value );
+					}
+				}
+
+				return values;
+			},
+
+			set: function( elem, value ) {
+				var optionSet, option,
+					options = elem.options,
+					values = jQuery.makeArray( value ),
+					i = options.length;
+
+				while ( i-- ) {
+					option = options[ i ];
+
+					/* eslint-disable no-cond-assign */
+
+					if ( option.selected =
+						jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1
+					) {
+						optionSet = true;
+					}
+
+					/* eslint-enable no-cond-assign */
+				}
+
+				// Force browsers to behave consistently when non-matching value is set
+				if ( !optionSet ) {
+					elem.selectedIndex = -1;
+				}
+				return values;
+			}
+		}
+	}
+} );
+
+// Radios and checkboxes getter/setter
+jQuery.each( [ "radio", "checkbox" ], function() {
+	jQuery.valHooks[ this ] = {
+		set: function( elem, value ) {
+			if ( Array.isArray( value ) ) {
+				return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 );
+			}
+		}
+	};
+	if ( !support.checkOn ) {
+		jQuery.valHooks[ this ].get = function( elem ) {
+			return elem.getAttribute( "value" ) === null ? "on" : elem.value;
+		};
+	}
+} );
+
+
+
+
+// Return jQuery for attributes-only inclusion
+
+
+var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/;
+
+jQuery.extend( jQuery.event, {
+
+	trigger: function( event, data, elem, onlyHandlers ) {
+
+		var i, cur, tmp, bubbleType, ontype, handle, special,
+			eventPath = [ elem || document ],
+			type = hasOwn.call( event, "type" ) ? event.type : event,
+			namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : [];
+
+		cur = tmp = elem = elem || document;
+
+		// Don't do events on text and comment nodes
+		if ( elem.nodeType === 3 || elem.nodeType === 8 ) {
+			return;
+		}
+
+		// focus/blur morphs to focusin/out; ensure we're not firing them right now
+		if ( rfocusMorph.test( type + jQuery.event.triggered ) ) {
+			return;
+		}
+
+		if ( type.indexOf( "." ) > -1 ) {
+
+			// Namespaced trigger; create a regexp to match event type in handle()
+			namespaces = type.split( "." );
+			type = namespaces.shift();
+			namespaces.sort();
+		}
+		ontype = type.indexOf( ":" ) < 0 && "on" + type;
+
+		// Caller can pass in a jQuery.Event object, Object, or just an event type string
+		event = event[ jQuery.expando ] ?
+			event :
+			new jQuery.Event( type, typeof event === "object" && event );
+
+		// Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true)
+		event.isTrigger = onlyHandlers ? 2 : 3;
+		event.namespace = namespaces.join( "." );
+		event.rnamespace = event.namespace ?
+			new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) :
+			null;
+
+		// Clean up the event in case it is being reused
+		event.result = undefined;
+		if ( !event.target ) {
+			event.target = elem;
+		}
+
+		// Clone any incoming data and prepend the event, creating the handler arg list
+		data = data == null ?
+			[ event ] :
+			jQuery.makeArray( data, [ event ] );
+
+		// Allow special events to draw outside the lines
+		special = jQuery.event.special[ type ] || {};
+		if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) {
+			return;
+		}
+
+		// Determine event propagation path in advance, per W3C events spec (#9951)
+		// Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
+		if ( !onlyHandlers && !special.noBubble && !jQuery.isWindow( elem ) ) {
+
+			bubbleType = special.delegateType || type;
+			if ( !rfocusMorph.test( bubbleType + type ) ) {
+				cur = cur.parentNode;
+			}
+			for ( ; cur; cur = cur.parentNode ) {
+				eventPath.push( cur );
+				tmp = cur;
+			}
+
+			// Only add window if we got to document (e.g., not plain obj or detached DOM)
+			if ( tmp === ( elem.ownerDocument || document ) ) {
+				eventPath.push( tmp.defaultView || tmp.parentWindow || window );
+			}
+		}
+
+		// Fire handlers on the event path
+		i = 0;
+		while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) {
+
+			event.type = i > 1 ?
+				bubbleType :
+				special.bindType || type;
+
+			// jQuery handler
+			handle = ( dataPriv.get( cur, "events" ) || {} )[ event.type ] &&
+				dataPriv.get( cur, "handle" );
+			if ( handle ) {
+				handle.apply( cur, data );
+			}
+
+			// Native handler
+			handle = ontype && cur[ ontype ];
+			if ( handle && handle.apply && acceptData( cur ) ) {
+				event.result = handle.apply( cur, data );
+				if ( event.result === false ) {
+					event.preventDefault();
+				}
+			}
+		}
+		event.type = type;
+
+		// If nobody prevented the default action, do it now
+		if ( !onlyHandlers && !event.isDefaultPrevented() ) {
+
+			if ( ( !special._default ||
+				special._default.apply( eventPath.pop(), data ) === false ) &&
+				acceptData( elem ) ) {
+
+				// Call a native DOM method on the target with the same name as the event.
+				// Don't do default actions on window, that's where global variables be (#6170)
+				if ( ontype && jQuery.isFunction( elem[ type ] ) && !jQuery.isWindow( elem ) ) {
+
+					// Don't re-trigger an onFOO event when we call its FOO() method
+					tmp = elem[ ontype ];
+
+					if ( tmp ) {
+						elem[ ontype ] = null;
+					}
+
+					// Prevent re-triggering of the same event, since we already bubbled it above
+					jQuery.event.triggered = type;
+					elem[ type ]();
+					jQuery.event.triggered = undefined;
+
+					if ( tmp ) {
+						elem[ ontype ] = tmp;
+					}
+				}
+			}
+		}
+
+		return event.result;
+	},
+
+	// Piggyback on a donor event to simulate a different one
+	// Used only for `focus(in | out)` events
+	simulate: function( type, elem, event ) {
+		var e = jQuery.extend(
+			new jQuery.Event(),
+			event,
+			{
+				type: type,
+				isSimulated: true
+			}
+		);
+
+		jQuery.event.trigger( e, null, elem );
+	}
+
+} );
+
+jQuery.fn.extend( {
+
+	trigger: function( type, data ) {
+		return this.each( function() {
+			jQuery.event.trigger( type, data, this );
+		} );
+	},
+	triggerHandler: function( type, data ) {
+		var elem = this[ 0 ];
+		if ( elem ) {
+			return jQuery.event.trigger( type, data, elem, true );
+		}
+	}
+} );
+
+
+jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " +
+	"mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " +
+	"change select submit keydown keypress keyup contextmenu" ).split( " " ),
+	function( i, name ) {
+
+	// Handle event binding
+	jQuery.fn[ name ] = function( data, fn ) {
+		return arguments.length > 0 ?
+			this.on( name, null, data, fn ) :
+			this.trigger( name );
+	};
+} );
+
+jQuery.fn.extend( {
+	hover: function( fnOver, fnOut ) {
+		return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver );
+	}
+} );
+
+
+
+
+support.focusin = "onfocusin" in window;
+
+
+// Support: Firefox <=44
+// Firefox doesn't have focus(in | out) events
+// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787
+//
+// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1
+// focus(in | out) events fire after focus & blur events,
+// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order
+// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857
+if ( !support.focusin ) {
+	jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) {
+
+		// Attach a single capturing handler on the document while someone wants focusin/focusout
+		var handler = function( event ) {
+			jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) );
+		};
+
+		jQuery.event.special[ fix ] = {
+			setup: function() {
+				var doc = this.ownerDocument || this,
+					attaches = dataPriv.access( doc, fix );
+
+				if ( !attaches ) {
+					doc.addEventListener( orig, handler, true );
+				}
+				dataPriv.access( doc, fix, ( attaches || 0 ) + 1 );
+			},
+			teardown: function() {
+				var doc = this.ownerDocument || this,
+					attaches = dataPriv.access( doc, fix ) - 1;
+
+				if ( !attaches ) {
+					doc.removeEventListener( orig, handler, true );
+					dataPriv.remove( doc, fix );
+
+				} else {
+					dataPriv.access( doc, fix, attaches );
+				}
+			}
+		};
+	} );
+}
+var location = window.location;
+
+var nonce = jQuery.now();
+
+var rquery = ( /\?/ );
+
+
+
+// Cross-browser xml parsing
+jQuery.parseXML = function( data ) {
+	var xml;
+	if ( !data || typeof data !== "string" ) {
+		return null;
+	}
+
+	// Support: IE 9 - 11 only
+	// IE throws on parseFromString with invalid input.
+	try {
+		xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" );
+	} catch ( e ) {
+		xml = undefined;
+	}
+
+	if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) {
+		jQuery.error( "Invalid XML: " + data );
+	}
+	return xml;
+};
+
+
+var
+	rbracket = /\[\]$/,
+	rCRLF = /\r?\n/g,
+	rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i,
+	rsubmittable = /^(?:input|select|textarea|keygen)/i;
+
+function buildParams( prefix, obj, traditional, add ) {
+	var name;
+
+	if ( Array.isArray( obj ) ) {
+
+		// Serialize array item.
+		jQuery.each( obj, function( i, v ) {
+			if ( traditional || rbracket.test( prefix ) ) {
+
+				// Treat each array item as a scalar.
+				add( prefix, v );
+
+			} else {
+
+				// Item is non-scalar (array or object), encode its numeric index.
+				buildParams(
+					prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]",
+					v,
+					traditional,
+					add
+				);
+			}
+		} );
+
+	} else if ( !traditional && jQuery.type( obj ) === "object" ) {
+
+		// Serialize object item.
+		for ( name in obj ) {
+			buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add );
+		}
+
+	} else {
+
+		// Serialize scalar item.
+		add( prefix, obj );
+	}
+}
+
+// Serialize an array of form elements or a set of
+// key/values into a query string
+jQuery.param = function( a, traditional ) {
+	var prefix,
+		s = [],
+		add = function( key, valueOrFunction ) {
+
+			// If value is a function, invoke it and use its return value
+			var value = jQuery.isFunction( valueOrFunction ) ?
+				valueOrFunction() :
+				valueOrFunction;
+
+			s[ s.length ] = encodeURIComponent( key ) + "=" +
+				encodeURIComponent( value == null ? "" : value );
+		};
+
+	// If an array was passed in, assume that it is an array of form elements.
+	if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) {
+
+		// Serialize the form elements
+		jQuery.each( a, function() {
+			add( this.name, this.value );
+		} );
+
+	} else {
+
+		// If traditional, encode the "old" way (the way 1.3.2 or older
+		// did it), otherwise encode params recursively.
+		for ( prefix in a ) {
+			buildParams( prefix, a[ prefix ], traditional, add );
+		}
+	}
+
+	// Return the resulting serialization
+	return s.join( "&" );
+};
+
+jQuery.fn.extend( {
+	serialize: function() {
+		return jQuery.param( this.serializeArray() );
+	},
+	serializeArray: function() {
+		return this.map( function() {
+
+			// Can add propHook for "elements" to filter or add form elements
+			var elements = jQuery.prop( this, "elements" );
+			return elements ? jQuery.makeArray( elements ) : this;
+		} )
+		.filter( function() {
+			var type = this.type;
+
+			// Use .is( ":disabled" ) so that fieldset[disabled] works
+			return this.name && !jQuery( this ).is( ":disabled" ) &&
+				rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
+				( this.checked || !rcheckableType.test( type ) );
+		} )
+		.map( function( i, elem ) {
+			var val = jQuery( this ).val();
+
+			if ( val == null ) {
+				return null;
+			}
+
+			if ( Array.isArray( val ) ) {
+				return jQuery.map( val, function( val ) {
+					return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+				} );
+			}
+
+			return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+		} ).get();
+	}
+} );
+
+
+var
+	r20 = /%20/g,
+	rhash = /#.*$/,
+	rantiCache = /([?&])_=[^&]*/,
+	rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
+
+	// #7653, #8125, #8152: local protocol detection
+	rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
+	rnoContent = /^(?:GET|HEAD)$/,
+	rprotocol = /^\/\//,
+
+	/* Prefilters
+	 * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example)
+	 * 2) These are called:
+	 *    - BEFORE asking for a transport
+	 *    - AFTER param serialization (s.data is a string if s.processData is true)
+	 * 3) key is the dataType
+	 * 4) the catchall symbol "*" can be used
+	 * 5) execution will start with transport dataType and THEN continue down to "*" if needed
+	 */
+	prefilters = {},
+
+	/* Transports bindings
+	 * 1) key is the dataType
+	 * 2) the catchall symbol "*" can be used
+	 * 3) selection will start with transport dataType and THEN go to "*" if needed
+	 */
+	transports = {},
+
+	// Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
+	allTypes = "*/".concat( "*" ),
+
+	// Anchor tag for parsing the document origin
+	originAnchor = document.createElement( "a" );
+	originAnchor.href = location.href;
+
+// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
+function addToPrefiltersOrTransports( structure ) {
+
+	// dataTypeExpression is optional and defaults to "*"
+	return function( dataTypeExpression, func ) {
+
+		if ( typeof dataTypeExpression !== "string" ) {
+			func = dataTypeExpression;
+			dataTypeExpression = "*";
+		}
+
+		var dataType,
+			i = 0,
+			dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || [];
+
+		if ( jQuery.isFunction( func ) ) {
+
+			// For each dataType in the dataTypeExpression
+			while ( ( dataType = dataTypes[ i++ ] ) ) {
+
+				// Prepend if requested
+				if ( dataType[ 0 ] === "+" ) {
+					dataType = dataType.slice( 1 ) || "*";
+					( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func );
+
+				// Otherwise append
+				} else {
+					( structure[ dataType ] = structure[ dataType ] || [] ).push( func );
+				}
+			}
+		}
+	};
+}
+
+// Base inspection function for prefilters and transports
+function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) {
+
+	var inspected = {},
+		seekingTransport = ( structure === transports );
+
+	function inspect( dataType ) {
+		var selected;
+		inspected[ dataType ] = true;
+		jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) {
+			var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR );
+			if ( typeof dataTypeOrTransport === "string" &&
+				!seekingTransport && !inspected[ dataTypeOrTransport ] ) {
+
+				options.dataTypes.unshift( dataTypeOrTransport );
+				inspect( dataTypeOrTransport );
+				return false;
+			} else if ( seekingTransport ) {
+				return !( selected = dataTypeOrTransport );
+			}
+		} );
+		return selected;
+	}
+
+	return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" );
+}
+
+// A special extend for ajax options
+// that takes "flat" options (not to be deep extended)
+// Fixes #9887
+function ajaxExtend( target, src ) {
+	var key, deep,
+		flatOptions = jQuery.ajaxSettings.flatOptions || {};
+
+	for ( key in src ) {
+		if ( src[ key ] !== undefined ) {
+			( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ];
+		}
+	}
+	if ( deep ) {
+		jQuery.extend( true, target, deep );
+	}
+
+	return target;
+}
+
+/* Handles responses to an ajax request:
+ * - finds the right dataType (mediates between content-type and expected dataType)
+ * - returns the corresponding response
+ */
+function ajaxHandleResponses( s, jqXHR, responses ) {
+
+	var ct, type, finalDataType, firstDataType,
+		contents = s.contents,
+		dataTypes = s.dataTypes;
+
+	// Remove auto dataType and get content-type in the process
+	while ( dataTypes[ 0 ] === "*" ) {
+		dataTypes.shift();
+		if ( ct === undefined ) {
+			ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" );
+		}
+	}
+
+	// Check if we're dealing with a known content-type
+	if ( ct ) {
+		for ( type in contents ) {
+			if ( contents[ type ] && contents[ type ].test( ct ) ) {
+				dataTypes.unshift( type );
+				break;
+			}
+		}
+	}
+
+	// Check to see if we have a response for the expected dataType
+	if ( dataTypes[ 0 ] in responses ) {
+		finalDataType = dataTypes[ 0 ];
+	} else {
+
+		// Try convertible dataTypes
+		for ( type in responses ) {
+			if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) {
+				finalDataType = type;
+				break;
+			}
+			if ( !firstDataType ) {
+				firstDataType = type;
+			}
+		}
+
+		// Or just use first one
+		finalDataType = finalDataType || firstDataType;
+	}
+
+	// If we found a dataType
+	// We add the dataType to the list if needed
+	// and return the corresponding response
+	if ( finalDataType ) {
+		if ( finalDataType !== dataTypes[ 0 ] ) {
+			dataTypes.unshift( finalDataType );
+		}
+		return responses[ finalDataType ];
+	}
+}
+
+/* Chain conversions given the request and the original response
+ * Also sets the responseXXX fields on the jqXHR instance
+ */
+function ajaxConvert( s, response, jqXHR, isSuccess ) {
+	var conv2, current, conv, tmp, prev,
+		converters = {},
+
+		// Work with a copy of dataTypes in case we need to modify it for conversion
+		dataTypes = s.dataTypes.slice();
+
+	// Create converters map with lowercased keys
+	if ( dataTypes[ 1 ] ) {
+		for ( conv in s.converters ) {
+			converters[ conv.toLowerCase() ] = s.converters[ conv ];
+		}
+	}
+
+	current = dataTypes.shift();
+
+	// Convert to each sequential dataType
+	while ( current ) {
+
+		if ( s.responseFields[ current ] ) {
+			jqXHR[ s.responseFields[ current ] ] = response;
+		}
+
+		// Apply the dataFilter if provided
+		if ( !prev && isSuccess && s.dataFilter ) {
+			response = s.dataFilter( response, s.dataType );
+		}
+
+		prev = current;
+		current = dataTypes.shift();
+
+		if ( current ) {
+
+			// There's only work to do if current dataType is non-auto
+			if ( current === "*" ) {
+
+				current = prev;
+
+			// Convert response if prev dataType is non-auto and differs from current
+			} else if ( prev !== "*" && prev !== current ) {
+
+				// Seek a direct converter
+				conv = converters[ prev + " " + current ] || converters[ "* " + current ];
+
+				// If none found, seek a pair
+				if ( !conv ) {
+					for ( conv2 in converters ) {
+
+						// If conv2 outputs current
+						tmp = conv2.split( " " );
+						if ( tmp[ 1 ] === current ) {
+
+							// If prev can be converted to accepted input
+							conv = converters[ prev + " " + tmp[ 0 ] ] ||
+								converters[ "* " + tmp[ 0 ] ];
+							if ( conv ) {
+
+								// Condense equivalence converters
+								if ( conv === true ) {
+									conv = converters[ conv2 ];
+
+								// Otherwise, insert the intermediate dataType
+								} else if ( converters[ conv2 ] !== true ) {
+									current = tmp[ 0 ];
+									dataTypes.unshift( tmp[ 1 ] );
+								}
+								break;
+							}
+						}
+					}
+				}
+
+				// Apply converter (if not an equivalence)
+				if ( conv !== true ) {
+
+					// Unless errors are allowed to bubble, catch and return them
+					if ( conv && s.throws ) {
+						response = conv( response );
+					} else {
+						try {
+							response = conv( response );
+						} catch ( e ) {
+							return {
+								state: "parsererror",
+								error: conv ? e : "No conversion from " + prev + " to " + current
+							};
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return { state: "success", data: response };
+}
+
+jQuery.extend( {
+
+	// Counter for holding the number of active queries
+	active: 0,
+
+	// Last-Modified header cache for next request
+	lastModified: {},
+	etag: {},
+
+	ajaxSettings: {
+		url: location.href,
+		type: "GET",
+		isLocal: rlocalProtocol.test( location.protocol ),
+		global: true,
+		processData: true,
+		async: true,
+		contentType: "application/x-www-form-urlencoded; charset=UTF-8",
+
+		/*
+		timeout: 0,
+		data: null,
+		dataType: null,
+		username: null,
+		password: null,
+		cache: null,
+		throws: false,
+		traditional: false,
+		headers: {},
+		*/
+
+		accepts: {
+			"*": allTypes,
+			text: "text/plain",
+			html: "text/html",
+			xml: "application/xml, text/xml",
+			json: "application/json, text/javascript"
+		},
+
+		contents: {
+			xml: /\bxml\b/,
+			html: /\bhtml/,
+			json: /\bjson\b/
+		},
+
+		responseFields: {
+			xml: "responseXML",
+			text: "responseText",
+			json: "responseJSON"
+		},
+
+		// Data converters
+		// Keys separate source (or catchall "*") and destination types with a single space
+		converters: {
+
+			// Convert anything to text
+			"* text": String,
+
+			// Text to html (true = no transformation)
+			"text html": true,
+
+			// Evaluate text as a json expression
+			"text json": JSON.parse,
+
+			// Parse text as xml
+			"text xml": jQuery.parseXML
+		},
+
+		// For options that shouldn't be deep extended:
+		// you can add your own custom options here if
+		// and when you create one that shouldn't be
+		// deep extended (see ajaxExtend)
+		flatOptions: {
+			url: true,
+			context: true
+		}
+	},
+
+	// Creates a full fledged settings object into target
+	// with both ajaxSettings and settings fields.
+	// If target is omitted, writes into ajaxSettings.
+	ajaxSetup: function( target, settings ) {
+		return settings ?
+
+			// Building a settings object
+			ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) :
+
+			// Extending ajaxSettings
+			ajaxExtend( jQuery.ajaxSettings, target );
+	},
+
+	ajaxPrefilter: addToPrefiltersOrTransports( prefilters ),
+	ajaxTransport: addToPrefiltersOrTransports( transports ),
+
+	// Main method
+	ajax: function( url, options ) {
+
+		// If url is an object, simulate pre-1.5 signature
+		if ( typeof url === "object" ) {
+			options = url;
+			url = undefined;
+		}
+
+		// Force options to be an object
+		options = options || {};
+
+		var transport,
+
+			// URL without anti-cache param
+			cacheURL,
+
+			// Response headers
+			responseHeadersString,
+			responseHeaders,
+
+			// timeout handle
+			timeoutTimer,
+
+			// Url cleanup var
+			urlAnchor,
+
+			// Request state (becomes false upon send and true upon completion)
+			completed,
+
+			// To know if global events are to be dispatched
+			fireGlobals,
+
+			// Loop variable
+			i,
+
+			// uncached part of the url
+			uncached,
+
+			// Create the final options object
+			s = jQuery.ajaxSetup( {}, options ),
+
+			// Callbacks context
+			callbackContext = s.context || s,
+
+			// Context for global events is callbackContext if it is a DOM node or jQuery collection
+			globalEventContext = s.context &&
+				( callbackContext.nodeType || callbackContext.jquery ) ?
+					jQuery( callbackContext ) :
+					jQuery.event,
+
+			// Deferreds
+			deferred = jQuery.Deferred(),
+			completeDeferred = jQuery.Callbacks( "once memory" ),
+
+			// Status-dependent callbacks
+			statusCode = s.statusCode || {},
+
+			// Headers (they are sent all at once)
+			requestHeaders = {},
+			requestHeadersNames = {},
+
+			// Default abort message
+			strAbort = "canceled",
+
+			// Fake xhr
+			jqXHR = {
+				readyState: 0,
+
+				// Builds headers hashtable if needed
+				getResponseHeader: function( key ) {
+					var match;
+					if ( completed ) {
+						if ( !responseHeaders ) {
+							responseHeaders = {};
+							while ( ( match = rheaders.exec( responseHeadersString ) ) ) {
+								responseHeaders[ match[ 1 ].toLowerCase() ] = match[ 2 ];
+							}
+						}
+						match = responseHeaders[ key.toLowerCase() ];
+					}
+					return match == null ? null : match;
+				},
+
+				// Raw string
+				getAllResponseHeaders: function() {
+					return completed ? responseHeadersString : null;
+				},
+
+				// Caches the header
+				setRequestHeader: function( name, value ) {
+					if ( completed == null ) {
+						name = requestHeadersNames[ name.toLowerCase() ] =
+							requestHeadersNames[ name.toLowerCase() ] || name;
+						requestHeaders[ name ] = value;
+					}
+					return this;
+				},
+
+				// Overrides response content-type header
+				overrideMimeType: function( type ) {
+					if ( completed == null ) {
+						s.mimeType = type;
+					}
+					return this;
+				},
+
+				// Status-dependent callbacks
+				statusCode: function( map ) {
+					var code;
+					if ( map ) {
+						if ( completed ) {
+
+							// Execute the appropriate callbacks
+							jqXHR.always( map[ jqXHR.status ] );
+						} else {
+
+							// Lazy-add the new callbacks in a way that preserves old ones
+							for ( code in map ) {
+								statusCode[ code ] = [ statusCode[ code ], map[ code ] ];
+							}
+						}
+					}
+					return this;
+				},
+
+				// Cancel the request
+				abort: function( statusText ) {
+					var finalText = statusText || strAbort;
+					if ( transport ) {
+						transport.abort( finalText );
+					}
+					done( 0, finalText );
+					return this;
+				}
+			};
+
+		// Attach deferreds
+		deferred.promise( jqXHR );
+
+		// Add protocol if not provided (prefilters might expect it)
+		// Handle falsy url in the settings object (#10093: consistency with old signature)
+		// We also use the url parameter if available
+		s.url = ( ( url || s.url || location.href ) + "" )
+			.replace( rprotocol, location.protocol + "//" );
+
+		// Alias method option to type as per ticket #12004
+		s.type = options.method || options.type || s.method || s.type;
+
+		// Extract dataTypes list
+		s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ];
+
+		// A cross-domain request is in order when the origin doesn't match the current origin.
+		if ( s.crossDomain == null ) {
+			urlAnchor = document.createElement( "a" );
+
+			// Support: IE <=8 - 11, Edge 12 - 13
+			// IE throws exception on accessing the href property if url is malformed,
+			// e.g. http://example.com:80x/
+			try {
+				urlAnchor.href = s.url;
+
+				// Support: IE <=8 - 11 only
+				// Anchor's host property isn't correctly set when s.url is relative
+				urlAnchor.href = urlAnchor.href;
+				s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !==
+					urlAnchor.protocol + "//" + urlAnchor.host;
+			} catch ( e ) {
+
+				// If there is an error parsing the URL, assume it is crossDomain,
+				// it can be rejected by the transport if it is invalid
+				s.crossDomain = true;
+			}
+		}
+
+		// Convert data if not already a string
+		if ( s.data && s.processData && typeof s.data !== "string" ) {
+			s.data = jQuery.param( s.data, s.traditional );
+		}
+
+		// Apply prefilters
+		inspectPrefiltersOrTransports( prefilters, s, options, jqXHR );
+
+		// If request was aborted inside a prefilter, stop there
+		if ( completed ) {
+			return jqXHR;
+		}
+
+		// We can fire global events as of now if asked to
+		// Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
+		fireGlobals = jQuery.event && s.global;
+
+		// Watch for a new set of requests
+		if ( fireGlobals && jQuery.active++ === 0 ) {
+			jQuery.event.trigger( "ajaxStart" );
+		}
+
+		// Uppercase the type
+		s.type = s.type.toUpperCase();
+
+		// Determine if request has content
+		s.hasContent = !rnoContent.test( s.type );
+
+		// Save the URL in case we're toying with the If-Modified-Since
+		// and/or If-None-Match header later on
+		// Remove hash to simplify url manipulation
+		cacheURL = s.url.replace( rhash, "" );
+
+		// More options handling for requests with no content
+		if ( !s.hasContent ) {
+
+			// Remember the hash so we can put it back
+			uncached = s.url.slice( cacheURL.length );
+
+			// If data is available, append data to url
+			if ( s.data ) {
+				cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data;
+
+				// #9682: remove data so that it's not used in an eventual retry
+				delete s.data;
+			}
+
+			// Add or update anti-cache param if needed
+			if ( s.cache === false ) {
+				cacheURL = cacheURL.replace( rantiCache, "$1" );
+				uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce++ ) + uncached;
+			}
+
+			// Put hash and anti-cache on the URL that will be requested (gh-1732)
+			s.url = cacheURL + uncached;
+
+		// Change '%20' to '+' if this is encoded form body content (gh-2658)
+		} else if ( s.data && s.processData &&
+			( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) {
+			s.data = s.data.replace( r20, "+" );
+		}
+
+		// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+		if ( s.ifModified ) {
+			if ( jQuery.lastModified[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] );
+			}
+			if ( jQuery.etag[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] );
+			}
+		}
+
+		// Set the correct header, if data is being sent
+		if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) {
+			jqXHR.setRequestHeader( "Content-Type", s.contentType );
+		}
+
+		// Set the Accepts header for the server, depending on the dataType
+		jqXHR.setRequestHeader(
+			"Accept",
+			s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ?
+				s.accepts[ s.dataTypes[ 0 ] ] +
+					( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) :
+				s.accepts[ "*" ]
+		);
+
+		// Check for headers option
+		for ( i in s.headers ) {
+			jqXHR.setRequestHeader( i, s.headers[ i ] );
+		}
+
+		// Allow custom headers/mimetypes and early abort
+		if ( s.beforeSend &&
+			( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) {
+
+			// Abort if not done already and return
+			return jqXHR.abort();
+		}
+
+		// Aborting is no longer a cancellation
+		strAbort = "abort";
+
+		// Install callbacks on deferreds
+		completeDeferred.add( s.complete );
+		jqXHR.done( s.success );
+		jqXHR.fail( s.error );
+
+		// Get transport
+		transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR );
+
+		// If no transport, we auto-abort
+		if ( !transport ) {
+			done( -1, "No Transport" );
+		} else {
+			jqXHR.readyState = 1;
+
+			// Send global event
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] );
+			}
+
+			// If request was aborted inside ajaxSend, stop there
+			if ( completed ) {
+				return jqXHR;
+			}
+
+			// Timeout
+			if ( s.async && s.timeout > 0 ) {
+				timeoutTimer = window.setTimeout( function() {
+					jqXHR.abort( "timeout" );
+				}, s.timeout );
+			}
+
+			try {
+				completed = false;
+				transport.send( requestHeaders, done );
+			} catch ( e ) {
+
+				// Rethrow post-completion exceptions
+				if ( completed ) {
+					throw e;
+				}
+
+				// Propagate others as results
+				done( -1, e );
+			}
+		}
+
+		// Callback for when everything is done
+		function done( status, nativeStatusText, responses, headers ) {
+			var isSuccess, success, error, response, modified,
+				statusText = nativeStatusText;
+
+			// Ignore repeat invocations
+			if ( completed ) {
+				return;
+			}
+
+			completed = true;
+
+			// Clear timeout if it exists
+			if ( timeoutTimer ) {
+				window.clearTimeout( timeoutTimer );
+			}
+
+			// Dereference transport for early garbage collection
+			// (no matter how long the jqXHR object will be used)
+			transport = undefined;
+
+			// Cache response headers
+			responseHeadersString = headers || "";
+
+			// Set readyState
+			jqXHR.readyState = status > 0 ? 4 : 0;
+
+			// Determine if successful
+			isSuccess = status >= 200 && status < 300 || status === 304;
+
+			// Get response data
+			if ( responses ) {
+				response = ajaxHandleResponses( s, jqXHR, responses );
+			}
+
+			// Convert no matter what (that way responseXXX fields are always set)
+			response = ajaxConvert( s, response, jqXHR, isSuccess );
+
+			// If successful, handle type chaining
+			if ( isSuccess ) {
+
+				// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+				if ( s.ifModified ) {
+					modified = jqXHR.getResponseHeader( "Last-Modified" );
+					if ( modified ) {
+						jQuery.lastModified[ cacheURL ] = modified;
+					}
+					modified = jqXHR.getResponseHeader( "etag" );
+					if ( modified ) {
+						jQuery.etag[ cacheURL ] = modified;
+					}
+				}
+
+				// if no content
+				if ( status === 204 || s.type === "HEAD" ) {
+					statusText = "nocontent";
+
+				// if not modified
+				} else if ( status === 304 ) {
+					statusText = "notmodified";
+
+				// If we have data, let's convert it
+				} else {
+					statusText = response.state;
+					success = response.data;
+					error = response.error;
+					isSuccess = !error;
+				}
+			} else {
+
+				// Extract error from statusText and normalize for non-aborts
+				error = statusText;
+				if ( status || !statusText ) {
+					statusText = "error";
+					if ( status < 0 ) {
+						status = 0;
+					}
+				}
+			}
+
+			// Set data for the fake xhr object
+			jqXHR.status = status;
+			jqXHR.statusText = ( nativeStatusText || statusText ) + "";
+
+			// Success/Error
+			if ( isSuccess ) {
+				deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] );
+			} else {
+				deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] );
+			}
+
+			// Status-dependent callbacks
+			jqXHR.statusCode( statusCode );
+			statusCode = undefined;
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError",
+					[ jqXHR, s, isSuccess ? success : error ] );
+			}
+
+			// Complete
+			completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] );
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] );
+
+				// Handle the global AJAX counter
+				if ( !( --jQuery.active ) ) {
+					jQuery.event.trigger( "ajaxStop" );
+				}
+			}
+		}
+
+		return jqXHR;
+	},
+
+	getJSON: function( url, data, callback ) {
+		return jQuery.get( url, data, callback, "json" );
+	},
+
+	getScript: function( url, callback ) {
+		return jQuery.get( url, undefined, callback, "script" );
+	}
+} );
+
+jQuery.each( [ "get", "post" ], function( i, method ) {
+	jQuery[ method ] = function( url, data, callback, type ) {
+
+		// Shift arguments if data argument was omitted
+		if ( jQuery.isFunction( data ) ) {
+			type = type || callback;
+			callback = data;
+			data = undefined;
+		}
+
+		// The url can be an options object (which then must have .url)
+		return jQuery.ajax( jQuery.extend( {
+			url: url,
+			type: method,
+			dataType: type,
+			data: data,
+			success: callback
+		}, jQuery.isPlainObject( url ) && url ) );
+	};
+} );
+
+
+jQuery._evalUrl = function( url ) {
+	return jQuery.ajax( {
+		url: url,
+
+		// Make this explicit, since user can override this through ajaxSetup (#11264)
+		type: "GET",
+		dataType: "script",
+		cache: true,
+		async: false,
+		global: false,
+		"throws": true
+	} );
+};
+
+
+jQuery.fn.extend( {
+	wrapAll: function( html ) {
+		var wrap;
+
+		if ( this[ 0 ] ) {
+			if ( jQuery.isFunction( html ) ) {
+				html = html.call( this[ 0 ] );
+			}
+
+			// The elements to wrap the target around
+			wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true );
+
+			if ( this[ 0 ].parentNode ) {
+				wrap.insertBefore( this[ 0 ] );
+			}
+
+			wrap.map( function() {
+				var elem = this;
+
+				while ( elem.firstElementChild ) {
+					elem = elem.firstElementChild;
+				}
+
+				return elem;
+			} ).append( this );
+		}
+
+		return this;
+	},
+
+	wrapInner: function( html ) {
+		if ( jQuery.isFunction( html ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).wrapInner( html.call( this, i ) );
+			} );
+		}
+
+		return this.each( function() {
+			var self = jQuery( this ),
+				contents = self.contents();
+
+			if ( contents.length ) {
+				contents.wrapAll( html );
+
+			} else {
+				self.append( html );
+			}
+		} );
+	},
+
+	wrap: function( html ) {
+		var isFunction = jQuery.isFunction( html );
+
+		return this.each( function( i ) {
+			jQuery( this ).wrapAll( isFunction ? html.call( this, i ) : html );
+		} );
+	},
+
+	unwrap: function( selector ) {
+		this.parent( selector ).not( "body" ).each( function() {
+			jQuery( this ).replaceWith( this.childNodes );
+		} );
+		return this;
+	}
+} );
+
+
+jQuery.expr.pseudos.hidden = function( elem ) {
+	return !jQuery.expr.pseudos.visible( elem );
+};
+jQuery.expr.pseudos.visible = function( elem ) {
+	return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length );
+};
+
+
+
+
+jQuery.ajaxSettings.xhr = function() {
+	try {
+		return new window.XMLHttpRequest();
+	} catch ( e ) {}
+};
+
+var xhrSuccessStatus = {
+
+		// File protocol always yields status code 0, assume 200
+		0: 200,
+
+		// Support: IE <=9 only
+		// #1450: sometimes IE returns 1223 when it should be 204
+		1223: 204
+	},
+	xhrSupported = jQuery.ajaxSettings.xhr();
+
+support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported );
+support.ajax = xhrSupported = !!xhrSupported;
+
+jQuery.ajaxTransport( function( options ) {
+	var callback, errorCallback;
+
+	// Cross domain only allowed if supported through XMLHttpRequest
+	if ( support.cors || xhrSupported && !options.crossDomain ) {
+		return {
+			send: function( headers, complete ) {
+				var i,
+					xhr = options.xhr();
+
+				xhr.open(
+					options.type,
+					options.url,
+					options.async,
+					options.username,
+					options.password
+				);
+
+				// Apply custom fields if provided
+				if ( options.xhrFields ) {
+					for ( i in options.xhrFields ) {
+						xhr[ i ] = options.xhrFields[ i ];
+					}
+				}
+
+				// Override mime type if needed
+				if ( options.mimeType && xhr.overrideMimeType ) {
+					xhr.overrideMimeType( options.mimeType );
+				}
+
+				// X-Requested-With header
+				// For cross-domain requests, seeing as conditions for a preflight are
+				// akin to a jigsaw puzzle, we simply never set it to be sure.
+				// (it can always be set on a per-request basis or even using ajaxSetup)
+				// For same-domain requests, won't change header if already provided.
+				if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) {
+					headers[ "X-Requested-With" ] = "XMLHttpRequest";
+				}
+
+				// Set headers
+				for ( i in headers ) {
+					xhr.setRequestHeader( i, headers[ i ] );
+				}
+
+				// Callback
+				callback = function( type ) {
+					return function() {
+						if ( callback ) {
+							callback = errorCallback = xhr.onload =
+								xhr.onerror = xhr.onabort = xhr.onreadystatechange = null;
+
+							if ( type === "abort" ) {
+								xhr.abort();
+							} else if ( type === "error" ) {
+
+								// Support: IE <=9 only
+								// On a manual native abort, IE9 throws
+								// errors on any property access that is not readyState
+								if ( typeof xhr.status !== "number" ) {
+									complete( 0, "error" );
+								} else {
+									complete(
+
+										// File: protocol always yields status 0; see #8605, #14207
+										xhr.status,
+										xhr.statusText
+									);
+								}
+							} else {
+								complete(
+									xhrSuccessStatus[ xhr.status ] || xhr.status,
+									xhr.statusText,
+
+									// Support: IE <=9 only
+									// IE9 has no XHR2 but throws on binary (trac-11426)
+									// For XHR2 non-text, let the caller handle it (gh-2498)
+									( xhr.responseType || "text" ) !== "text"  ||
+									typeof xhr.responseText !== "string" ?
+										{ binary: xhr.response } :
+										{ text: xhr.responseText },
+									xhr.getAllResponseHeaders()
+								);
+							}
+						}
+					};
+				};
+
+				// Listen to events
+				xhr.onload = callback();
+				errorCallback = xhr.onerror = callback( "error" );
+
+				// Support: IE 9 only
+				// Use onreadystatechange to replace onabort
+				// to handle uncaught aborts
+				if ( xhr.onabort !== undefined ) {
+					xhr.onabort = errorCallback;
+				} else {
+					xhr.onreadystatechange = function() {
+
+						// Check readyState before timeout as it changes
+						if ( xhr.readyState === 4 ) {
+
+							// Allow onerror to be called first,
+							// but that will not handle a native abort
+							// Also, save errorCallback to a variable
+							// as xhr.onerror cannot be accessed
+							window.setTimeout( function() {
+								if ( callback ) {
+									errorCallback();
+								}
+							} );
+						}
+					};
+				}
+
+				// Create the abort callback
+				callback = callback( "abort" );
+
+				try {
+
+					// Do send the request (this may raise an exception)
+					xhr.send( options.hasContent && options.data || null );
+				} catch ( e ) {
+
+					// #14683: Only rethrow if this hasn't been notified as an error yet
+					if ( callback ) {
+						throw e;
+					}
+				}
+			},
+
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432)
+jQuery.ajaxPrefilter( function( s ) {
+	if ( s.crossDomain ) {
+		s.contents.script = false;
+	}
+} );
+
+// Install script dataType
+jQuery.ajaxSetup( {
+	accepts: {
+		script: "text/javascript, application/javascript, " +
+			"application/ecmascript, application/x-ecmascript"
+	},
+	contents: {
+		script: /\b(?:java|ecma)script\b/
+	},
+	converters: {
+		"text script": function( text ) {
+			jQuery.globalEval( text );
+			return text;
+		}
+	}
+} );
+
+// Handle cache's special case and crossDomain
+jQuery.ajaxPrefilter( "script", function( s ) {
+	if ( s.cache === undefined ) {
+		s.cache = false;
+	}
+	if ( s.crossDomain ) {
+		s.type = "GET";
+	}
+} );
+
+// Bind script tag hack transport
+jQuery.ajaxTransport( "script", function( s ) {
+
+	// This transport only deals with cross domain requests
+	if ( s.crossDomain ) {
+		var script, callback;
+		return {
+			send: function( _, complete ) {
+				script = jQuery( "<script>" ).prop( {
+					charset: s.scriptCharset,
+					src: s.url
+				} ).on(
+					"load error",
+					callback = function( evt ) {
+						script.remove();
+						callback = null;
+						if ( evt ) {
+							complete( evt.type === "error" ? 404 : 200, evt.type );
+						}
+					}
+				);
+
+				// Use native DOM manipulation to avoid our domManip AJAX trickery
+				document.head.appendChild( script[ 0 ] );
+			},
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+var oldCallbacks = [],
+	rjsonp = /(=)\?(?=&|$)|\?\?/;
+
+// Default jsonp settings
+jQuery.ajaxSetup( {
+	jsonp: "callback",
+	jsonpCallback: function() {
+		var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( nonce++ ) );
+		this[ callback ] = true;
+		return callback;
+	}
+} );
+
+// Detect, normalize options and install callbacks for jsonp requests
+jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) {
+
+	var callbackName, overwritten, responseContainer,
+		jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ?
+			"url" :
+			typeof s.data === "string" &&
+				( s.contentType || "" )
+					.indexOf( "application/x-www-form-urlencoded" ) === 0 &&
+				rjsonp.test( s.data ) && "data"
+		);
+
+	// Handle iff the expected data type is "jsonp" or we have a parameter to set
+	if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) {
+
+		// Get callback name, remembering preexisting value associated with it
+		callbackName = s.jsonpCallback = jQuery.isFunction( s.jsonpCallback ) ?
+			s.jsonpCallback() :
+			s.jsonpCallback;
+
+		// Insert callback into url or form data
+		if ( jsonProp ) {
+			s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName );
+		} else if ( s.jsonp !== false ) {
+			s.url += ( rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName;
+		}
+
+		// Use data converter to retrieve json after script execution
+		s.converters[ "script json" ] = function() {
+			if ( !responseContainer ) {
+				jQuery.error( callbackName + " was not called" );
+			}
+			return responseContainer[ 0 ];
+		};
+
+		// Force json dataType
+		s.dataTypes[ 0 ] = "json";
+
+		// Install callback
+		overwritten = window[ callbackName ];
+		window[ callbackName ] = function() {
+			responseContainer = arguments;
+		};
+
+		// Clean-up function (fires after converters)
+		jqXHR.always( function() {
+
+			// If previous value didn't exist - remove it
+			if ( overwritten === undefined ) {
+				jQuery( window ).removeProp( callbackName );
+
+			// Otherwise restore preexisting value
+			} else {
+				window[ callbackName ] = overwritten;
+			}
+
+			// Save back as free
+			if ( s[ callbackName ] ) {
+
+				// Make sure that re-using the options doesn't screw things around
+				s.jsonpCallback = originalSettings.jsonpCallback;
+
+				// Save the callback name for future use
+				oldCallbacks.push( callbackName );
+			}
+
+			// Call if it was a function and we have a response
+			if ( responseContainer && jQuery.isFunction( overwritten ) ) {
+				overwritten( responseContainer[ 0 ] );
+			}
+
+			responseContainer = overwritten = undefined;
+		} );
+
+		// Delegate to script
+		return "script";
+	}
+} );
+
+
+
+
+// Support: Safari 8 only
+// In Safari 8 documents created via document.implementation.createHTMLDocument
+// collapse sibling forms: the second one becomes a child of the first one.
+// Because of that, this security measure has to be disabled in Safari 8.
+// https://bugs.webkit.org/show_bug.cgi?id=137337
+support.createHTMLDocument = ( function() {
+	var body = document.implementation.createHTMLDocument( "" ).body;
+	body.innerHTML = "<form></form><form></form>";
+	return body.childNodes.length === 2;
+} )();
+
+
+// Argument "data" should be string of html
+// context (optional): If specified, the fragment will be created in this context,
+// defaults to document
+// keepScripts (optional): If true, will include scripts passed in the html string
+jQuery.parseHTML = function( data, context, keepScripts ) {
+	if ( typeof data !== "string" ) {
+		return [];
+	}
+	if ( typeof context === "boolean" ) {
+		keepScripts = context;
+		context = false;
+	}
+
+	var base, parsed, scripts;
+
+	if ( !context ) {
+
+		// Stop scripts or inline event handlers from being executed immediately
+		// by using document.implementation
+		if ( support.createHTMLDocument ) {
+			context = document.implementation.createHTMLDocument( "" );
+
+			// Set the base href for the created document
+			// so any parsed elements with URLs
+			// are based on the document's URL (gh-2965)
+			base = context.createElement( "base" );
+			base.href = document.location.href;
+			context.head.appendChild( base );
+		} else {
+			context = document;
+		}
+	}
+
+	parsed = rsingleTag.exec( data );
+	scripts = !keepScripts && [];
+
+	// Single tag
+	if ( parsed ) {
+		return [ context.createElement( parsed[ 1 ] ) ];
+	}
+
+	parsed = buildFragment( [ data ], context, scripts );
+
+	if ( scripts && scripts.length ) {
+		jQuery( scripts ).remove();
+	}
+
+	return jQuery.merge( [], parsed.childNodes );
+};
+
+
+/**
+ * Load a url into a page
+ */
+jQuery.fn.load = function( url, params, callback ) {
+	var selector, type, response,
+		self = this,
+		off = url.indexOf( " " );
+
+	if ( off > -1 ) {
+		selector = stripAndCollapse( url.slice( off ) );
+		url = url.slice( 0, off );
+	}
+
+	// If it's a function
+	if ( jQuery.isFunction( params ) ) {
+
+		// We assume that it's the callback
+		callback = params;
+		params = undefined;
+
+	// Otherwise, build a param string
+	} else if ( params && typeof params === "object" ) {
+		type = "POST";
+	}
+
+	// If we have elements to modify, make the request
+	if ( self.length > 0 ) {
+		jQuery.ajax( {
+			url: url,
+
+			// If "type" variable is undefined, then "GET" method will be used.
+			// Make value of this field explicit since
+			// user can override it through ajaxSetup method
+			type: type || "GET",
+			dataType: "html",
+			data: params
+		} ).done( function( responseText ) {
+
+			// Save response for use in complete callback
+			response = arguments;
+
+			self.html( selector ?
+
+				// If a selector was specified, locate the right elements in a dummy div
+				// Exclude scripts to avoid IE 'Permission Denied' errors
+				jQuery( "<div>" ).append( jQuery.parseHTML( responseText ) ).find( selector ) :
+
+				// Otherwise use the full result
+				responseText );
+
+		// If the request succeeds, this function gets "data", "status", "jqXHR"
+		// but they are ignored because response was set above.
+		// If it fails, this function gets "jqXHR", "status", "error"
+		} ).always( callback && function( jqXHR, status ) {
+			self.each( function() {
+				callback.apply( this, response || [ jqXHR.responseText, status, jqXHR ] );
+			} );
+		} );
+	}
+
+	return this;
+};
+
+
+
+
+// Attach a bunch of functions for handling common AJAX events
+jQuery.each( [
+	"ajaxStart",
+	"ajaxStop",
+	"ajaxComplete",
+	"ajaxError",
+	"ajaxSuccess",
+	"ajaxSend"
+], function( i, type ) {
+	jQuery.fn[ type ] = function( fn ) {
+		return this.on( type, fn );
+	};
+} );
+
+
+
+
+jQuery.expr.pseudos.animated = function( elem ) {
+	return jQuery.grep( jQuery.timers, function( fn ) {
+		return elem === fn.elem;
+	} ).length;
+};
+
+
+
+
+jQuery.offset = {
+	setOffset: function( elem, options, i ) {
+		var curPosition, curLeft, curCSSTop, curTop, curOffset, curCSSLeft, calculatePosition,
+			position = jQuery.css( elem, "position" ),
+			curElem = jQuery( elem ),
+			props = {};
+
+		// Set position first, in-case top/left are set even on static elem
+		if ( position === "static" ) {
+			elem.style.position = "relative";
+		}
+
+		curOffset = curElem.offset();
+		curCSSTop = jQuery.css( elem, "top" );
+		curCSSLeft = jQuery.css( elem, "left" );
+		calculatePosition = ( position === "absolute" || position === "fixed" ) &&
+			( curCSSTop + curCSSLeft ).indexOf( "auto" ) > -1;
+
+		// Need to be able to calculate position if either
+		// top or left is auto and position is either absolute or fixed
+		if ( calculatePosition ) {
+			curPosition = curElem.position();
+			curTop = curPosition.top;
+			curLeft = curPosition.left;
+
+		} else {
+			curTop = parseFloat( curCSSTop ) || 0;
+			curLeft = parseFloat( curCSSLeft ) || 0;
+		}
+
+		if ( jQuery.isFunction( options ) ) {
+
+			// Use jQuery.extend here to allow modification of coordinates argument (gh-1848)
+			options = options.call( elem, i, jQuery.extend( {}, curOffset ) );
+		}
+
+		if ( options.top != null ) {
+			props.top = ( options.top - curOffset.top ) + curTop;
+		}
+		if ( options.left != null ) {
+			props.left = ( options.left - curOffset.left ) + curLeft;
+		}
+
+		if ( "using" in options ) {
+			options.using.call( elem, props );
+
+		} else {
+			curElem.css( props );
+		}
+	}
+};
+
+jQuery.fn.extend( {
+	offset: function( options ) {
+
+		// Preserve chaining for setter
+		if ( arguments.length ) {
+			return options === undefined ?
+				this :
+				this.each( function( i ) {
+					jQuery.offset.setOffset( this, options, i );
+				} );
+		}
+
+		var doc, docElem, rect, win,
+			elem = this[ 0 ];
+
+		if ( !elem ) {
+			return;
+		}
+
+		// Return zeros for disconnected and hidden (display: none) elements (gh-2310)
+		// Support: IE <=11 only
+		// Running getBoundingClientRect on a
+		// disconnected node in IE throws an error
+		if ( !elem.getClientRects().length ) {
+			return { top: 0, left: 0 };
+		}
+
+		rect = elem.getBoundingClientRect();
+
+		doc = elem.ownerDocument;
+		docElem = doc.documentElement;
+		win = doc.defaultView;
+
+		return {
+			top: rect.top + win.pageYOffset - docElem.clientTop,
+			left: rect.left + win.pageXOffset - docElem.clientLeft
+		};
+	},
+
+	position: function() {
+		if ( !this[ 0 ] ) {
+			return;
+		}
+
+		var offsetParent, offset,
+			elem = this[ 0 ],
+			parentOffset = { top: 0, left: 0 };
+
+		// Fixed elements are offset from window (parentOffset = {top:0, left: 0},
+		// because it is its only offset parent
+		if ( jQuery.css( elem, "position" ) === "fixed" ) {
+
+			// Assume getBoundingClientRect is there when computed position is fixed
+			offset = elem.getBoundingClientRect();
+
+		} else {
+
+			// Get *real* offsetParent
+			offsetParent = this.offsetParent();
+
+			// Get correct offsets
+			offset = this.offset();
+			if ( !nodeName( offsetParent[ 0 ], "html" ) ) {
+				parentOffset = offsetParent.offset();
+			}
+
+			// Add offsetParent borders
+			parentOffset = {
+				top: parentOffset.top + jQuery.css( offsetParent[ 0 ], "borderTopWidth", true ),
+				left: parentOffset.left + jQuery.css( offsetParent[ 0 ], "borderLeftWidth", true )
+			};
+		}
+
+		// Subtract parent offsets and element margins
+		return {
+			top: offset.top - parentOffset.top - jQuery.css( elem, "marginTop", true ),
+			left: offset.left - parentOffset.left - jQuery.css( elem, "marginLeft", true )
+		};
+	},
+
+	// This method will return documentElement in the following cases:
+	// 1) For the element inside the iframe without offsetParent, this method will return
+	//    documentElement of the parent window
+	// 2) For the hidden or detached element
+	// 3) For body or html element, i.e. in case of the html node - it will return itself
+	//
+	// but those exceptions were never presented as a real life use-cases
+	// and might be considered as more preferable results.
+	//
+	// This logic, however, is not guaranteed and can change at any point in the future
+	offsetParent: function() {
+		return this.map( function() {
+			var offsetParent = this.offsetParent;
+
+			while ( offsetParent && jQuery.css( offsetParent, "position" ) === "static" ) {
+				offsetParent = offsetParent.offsetParent;
+			}
+
+			return offsetParent || documentElement;
+		} );
+	}
+} );
+
+// Create scrollLeft and scrollTop methods
+jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( method, prop ) {
+	var top = "pageYOffset" === prop;
+
+	jQuery.fn[ method ] = function( val ) {
+		return access( this, function( elem, method, val ) {
+
+			// Coalesce documents and windows
+			var win;
+			if ( jQuery.isWindow( elem ) ) {
+				win = elem;
+			} else if ( elem.nodeType === 9 ) {
+				win = elem.defaultView;
+			}
+
+			if ( val === undefined ) {
+				return win ? win[ prop ] : elem[ method ];
+			}
+
+			if ( win ) {
+				win.scrollTo(
+					!top ? val : win.pageXOffset,
+					top ? val : win.pageYOffset
+				);
+
+			} else {
+				elem[ method ] = val;
+			}
+		}, method, val, arguments.length );
+	};
+} );
+
+// Support: Safari <=7 - 9.1, Chrome <=37 - 49
+// Add the top/left cssHooks using jQuery.fn.position
+// Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084
+// Blink bug: https://bugs.chromium.org/p/chromium/issues/detail?id=589347
+// getComputedStyle returns percent when specified for top/left/bottom/right;
+// rather than make the css module depend on the offset module, just check for it here
+jQuery.each( [ "top", "left" ], function( i, prop ) {
+	jQuery.cssHooks[ prop ] = addGetHookIf( support.pixelPosition,
+		function( elem, computed ) {
+			if ( computed ) {
+				computed = curCSS( elem, prop );
+
+				// If curCSS returns percentage, fallback to offset
+				return rnumnonpx.test( computed ) ?
+					jQuery( elem ).position()[ prop ] + "px" :
+					computed;
+			}
+		}
+	);
+} );
+
+
+// Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods
+jQuery.each( { Height: "height", Width: "width" }, function( name, type ) {
+	jQuery.each( { padding: "inner" + name, content: type, "": "outer" + name },
+		function( defaultExtra, funcName ) {
+
+		// Margin is only for outerHeight, outerWidth
+		jQuery.fn[ funcName ] = function( margin, value ) {
+			var chainable = arguments.length && ( defaultExtra || typeof margin !== "boolean" ),
+				extra = defaultExtra || ( margin === true || value === true ? "margin" : "border" );
+
+			return access( this, function( elem, type, value ) {
+				var doc;
+
+				if ( jQuery.isWindow( elem ) ) {
+
+					// $( window ).outerWidth/Height return w/h including scrollbars (gh-1729)
+					return funcName.indexOf( "outer" ) === 0 ?
+						elem[ "inner" + name ] :
+						elem.document.documentElement[ "client" + name ];
+				}
+
+				// Get document width or height
+				if ( elem.nodeType === 9 ) {
+					doc = elem.documentElement;
+
+					// Either scroll[Width/Height] or offset[Width/Height] or client[Width/Height],
+					// whichever is greatest
+					return Math.max(
+						elem.body[ "scroll" + name ], doc[ "scroll" + name ],
+						elem.body[ "offset" + name ], doc[ "offset" + name ],
+						doc[ "client" + name ]
+					);
+				}
+
+				return value === undefined ?
+
+					// Get width or height on the element, requesting but not forcing parseFloat
+					jQuery.css( elem, type, extra ) :
+
+					// Set width or height on the element
+					jQuery.style( elem, type, value, extra );
+			}, type, chainable ? margin : undefined, chainable );
+		};
+	} );
+} );
+
+
+jQuery.fn.extend( {
+
+	bind: function( types, data, fn ) {
+		return this.on( types, null, data, fn );
+	},
+	unbind: function( types, fn ) {
+		return this.off( types, null, fn );
+	},
+
+	delegate: function( selector, types, data, fn ) {
+		return this.on( types, selector, data, fn );
+	},
+	undelegate: function( selector, types, fn ) {
+
+		// ( namespace ) or ( selector, types [, fn] )
+		return arguments.length === 1 ?
+			this.off( selector, "**" ) :
+			this.off( types, selector || "**", fn );
+	}
+} );
+
+jQuery.holdReady = function( hold ) {
+	if ( hold ) {
+		jQuery.readyWait++;
+	} else {
+		jQuery.ready( true );
+	}
+};
+jQuery.isArray = Array.isArray;
+jQuery.parseJSON = JSON.parse;
+jQuery.nodeName = nodeName;
+
+
+
+
+// Register as a named AMD module, since jQuery can be concatenated with other
+// files that may use define, but not via a proper concatenation script that
+// understands anonymous AMD modules. A named AMD is safest and most robust
+// way to register. Lowercase jquery is used because AMD module names are
+// derived from file names, and jQuery is normally delivered in a lowercase
+// file name. Do this after creating the global so that if an AMD module wants
+// to call noConflict to hide this version of jQuery, it will work.
+
+// Note that for maximum portability, libraries that are not jQuery should
+// declare themselves as anonymous modules, and avoid setting a global if an
+// AMD loader is present. jQuery is a special case. For more information, see
+// https://github.com/jrburke/requirejs/wiki/Updating-existing-libraries#wiki-anon
+
+if ( typeof define === "function" && define.amd ) {
+	define( "jquery", [], function() {
+		return jQuery;
+	} );
+}
+
+
+
+
+var
+
+	// Map over jQuery in case of overwrite
+	_jQuery = window.jQuery,
+
+	// Map over the $ in case of overwrite
+	_$ = window.$;
+
+jQuery.noConflict = function( deep ) {
+	if ( window.$ === jQuery ) {
+		window.$ = _$;
+	}
+
+	if ( deep && window.jQuery === jQuery ) {
+		window.jQuery = _jQuery;
+	}
+
+	return jQuery;
+};
+
+// Expose jQuery and $ identifiers, even in AMD
+// (#7102#comment:10, https://github.com/jquery/jquery/pull/557)
+// and CommonJS for browser emulators (#13566)
+if ( !noGlobal ) {
+	window.jQuery = window.$ = jQuery;
+}
+
+
+
+
+return jQuery;
+} );
diff --git a/docs/_static/jquery.js b/docs/_static/jquery.js
new file mode 100644
index 0000000..644d35e
--- /dev/null
+++ b/docs/_static/jquery.js
@@ -0,0 +1,4 @@
+/*! jQuery v3.2.1 | (c) JS Foundation and other contributors | jquery.org/license */
+!function(a,b){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=a.document?b(a,!0):function(a){if(!a.document)throw new Error("jQuery requires a window with a document");return b(a)}:b(a)}("undefined"!=typeof window?window:this,function(a,b){"use strict";var c=[],d=a.document,e=Object.getPrototypeOf,f=c.slice,g=c.concat,h=c.push,i=c.indexOf,j={},k=j.toString,l=j.hasOwnProperty,m=l.toString,n=m.call(Object),o={};function p(a,b){b=b||d;var c=b.createElement("script");c.text=a,b.head.appendChild(c).parentNode.removeChild(c)}var q="3.2.1",r=function(a,b){return new r.fn.init(a,b)},s=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g,t=/^-ms-/,u=/-([a-z])/g,v=function(a,b){return b.toUpperCase()};r.fn=r.prototype={jquery:q,constructor:r,length:0,toArray:function(){return f.call(this)},get:function(a){return null==a?f.call(this):a<0?this[a+this.length]:this[a]},pushStack:function(a){var b=r.merge(this.constructor(),a);return b.prevObject=this,b},each:function(a){return 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diff --git a/docs/_static/language_data.js b/docs/_static/language_data.js
new file mode 100644
index 0000000..5266fb1
--- /dev/null
+++ b/docs/_static/language_data.js
@@ -0,0 +1,297 @@
+/*
+ * language_data.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * This script contains the language-specific data used by searchtools.js,
+ * namely the list of stopwords, stemmer, scorer and splitter.
+ *
+ * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+var stopwords = ["a","and","are","as","at","be","but","by","for","if","in","into","is","it","near","no","not","of","on","or","such","that","the","their","then","there","these","they","this","to","was","will","with"];
+
+
+/* Non-minified version JS is _stemmer.js if file is provided */ 
+/**
+ * Porter Stemmer
+ */
+var Stemmer = function() {
+
+  var step2list = {
+    ational: 'ate',
+    tional: 'tion',
+    enci: 'ence',
+    anci: 'ance',
+    izer: 'ize',
+    bli: 'ble',
+    alli: 'al',
+    entli: 'ent',
+    eli: 'e',
+    ousli: 'ous',
+    ization: 'ize',
+    ation: 'ate',
+    ator: 'ate',
+    alism: 'al',
+    iveness: 'ive',
+    fulness: 'ful',
+    ousness: 'ous',
+    aliti: 'al',
+    iviti: 'ive',
+    biliti: 'ble',
+    logi: 'log'
+  };
+
+  var step3list = {
+    icate: 'ic',
+    ative: '',
+    alize: 'al',
+    iciti: 'ic',
+    ical: 'ic',
+    ful: '',
+    ness: ''
+  };
+
+  var c = "[^aeiou]";          // consonant
+  var v = "[aeiouy]";          // vowel
+  var C = c + "[^aeiouy]*";    // consonant sequence
+  var V = v + "[aeiou]*";      // vowel sequence
+
+  var mgr0 = "^(" + C + ")?" + V + C;                      // [C]VC... is m>0
+  var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$";    // [C]VC[V] is m=1
+  var mgr1 = "^(" + C + ")?" + V + C + V + C;              // [C]VCVC... is m>1
+  var s_v   = "^(" + C + ")?" + v;                         // vowel in stem
+
+  this.stemWord = function (w) {
+    var stem;
+    var suffix;
+    var firstch;
+    var origword = w;
+
+    if (w.length < 3)
+      return w;
+
+    var re;
+    var re2;
+    var re3;
+    var re4;
+
+    firstch = w.substr(0,1);
+    if (firstch == "y")
+      w = firstch.toUpperCase() + w.substr(1);
+
+    // Step 1a
+    re = /^(.+?)(ss|i)es$/;
+    re2 = /^(.+?)([^s])s$/;
+
+    if (re.test(w))
+      w = w.replace(re,"$1$2");
+    else if (re2.test(w))
+      w = w.replace(re2,"$1$2");
+
+    // Step 1b
+    re = /^(.+?)eed$/;
+    re2 = /^(.+?)(ed|ing)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      re = new RegExp(mgr0);
+      if (re.test(fp[1])) {
+        re = /.$/;
+        w = w.replace(re,"");
+      }
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1];
+      re2 = new RegExp(s_v);
+      if (re2.test(stem)) {
+        w = stem;
+        re2 = /(at|bl|iz)$/;
+        re3 = new RegExp("([^aeiouylsz])\\1$");
+        re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+        if (re2.test(w))
+          w = w + "e";
+        else if (re3.test(w)) {
+          re = /.$/;
+          w = w.replace(re,"");
+        }
+        else if (re4.test(w))
+          w = w + "e";
+      }
+    }
+
+    // Step 1c
+    re = /^(.+?)y$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(s_v);
+      if (re.test(stem))
+        w = stem + "i";
+    }
+
+    // Step 2
+    re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step2list[suffix];
+    }
+
+    // Step 3
+    re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step3list[suffix];
+    }
+
+    // Step 4
+    re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
+    re2 = /^(.+?)(s|t)(ion)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      if (re.test(stem))
+        w = stem;
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1] + fp[2];
+      re2 = new RegExp(mgr1);
+      if (re2.test(stem))
+        w = stem;
+    }
+
+    // Step 5
+    re = /^(.+?)e$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      re2 = new RegExp(meq1);
+      re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
+        w = stem;
+    }
+    re = /ll$/;
+    re2 = new RegExp(mgr1);
+    if (re.test(w) && re2.test(w)) {
+      re = /.$/;
+      w = w.replace(re,"");
+    }
+
+    // and turn initial Y back to y
+    if (firstch == "y")
+      w = firstch.toLowerCase() + w.substr(1);
+    return w;
+  }
+}
+
+
+
+
+
+var splitChars = (function() {
+    var result = {};
+    var singles = [96, 180, 187, 191, 215, 247, 749, 885, 903, 907, 909, 930, 1014, 1648,
+         1748, 1809, 2416, 2473, 2481, 2526, 2601, 2609, 2612, 2615, 2653, 2702,
+         2706, 2729, 2737, 2740, 2857, 2865, 2868, 2910, 2928, 2948, 2961, 2971,
+         2973, 3085, 3089, 3113, 3124, 3213, 3217, 3241, 3252, 3295, 3341, 3345,
+         3369, 3506, 3516, 3633, 3715, 3721, 3736, 3744, 3748, 3750, 3756, 3761,
+         3781, 3912, 4239, 4347, 4681, 4695, 4697, 4745, 4785, 4799, 4801, 4823,
+         4881, 5760, 5901, 5997, 6313, 7405, 8024, 8026, 8028, 8030, 8117, 8125,
+         8133, 8181, 8468, 8485, 8487, 8489, 8494, 8527, 11311, 11359, 11687, 11695,
+         11703, 11711, 11719, 11727, 11735, 12448, 12539, 43010, 43014, 43019, 43587,
+         43696, 43713, 64286, 64297, 64311, 64317, 64319, 64322, 64325, 65141];
+    var i, j, start, end;
+    for (i = 0; i < singles.length; i++) {
+        result[singles[i]] = true;
+    }
+    var ranges = [[0, 47], [58, 64], [91, 94], [123, 169], [171, 177], [182, 184], [706, 709],
+         [722, 735], [741, 747], [751, 879], [888, 889], [894, 901], [1154, 1161],
+         [1318, 1328], [1367, 1368], [1370, 1376], [1416, 1487], [1515, 1519], [1523, 1568],
+         [1611, 1631], [1642, 1645], [1750, 1764], [1767, 1773], [1789, 1790], [1792, 1807],
+         [1840, 1868], [1958, 1968], [1970, 1983], [2027, 2035], [2038, 2041], [2043, 2047],
+         [2070, 2073], [2075, 2083], [2085, 2087], [2089, 2307], [2362, 2364], [2366, 2383],
+         [2385, 2391], [2402, 2405], [2419, 2424], [2432, 2436], [2445, 2446], [2449, 2450],
+         [2483, 2485], [2490, 2492], [2494, 2509], [2511, 2523], [2530, 2533], [2546, 2547],
+         [2554, 2564], [2571, 2574], [2577, 2578], [2618, 2648], [2655, 2661], [2672, 2673],
+         [2677, 2692], [2746, 2748], [2750, 2767], [2769, 2783], [2786, 2789], [2800, 2820],
+         [2829, 2830], [2833, 2834], [2874, 2876], [2878, 2907], [2914, 2917], [2930, 2946],
+         [2955, 2957], [2966, 2968], [2976, 2978], [2981, 2983], [2987, 2989], [3002, 3023],
+         [3025, 3045], [3059, 3076], [3130, 3132], [3134, 3159], [3162, 3167], [3170, 3173],
+         [3184, 3191], [3199, 3204], [3258, 3260], [3262, 3293], [3298, 3301], [3312, 3332],
+         [3386, 3388], [3390, 3423], [3426, 3429], [3446, 3449], [3456, 3460], [3479, 3481],
+         [3518, 3519], [3527, 3584], [3636, 3647], [3655, 3663], [3674, 3712], [3717, 3718],
+         [3723, 3724], [3726, 3731], [3752, 3753], [3764, 3772], [3774, 3775], [3783, 3791],
+         [3802, 3803], [3806, 3839], [3841, 3871], [3892, 3903], [3949, 3975], [3980, 4095],
+         [4139, 4158], [4170, 4175], [4182, 4185], [4190, 4192], [4194, 4196], [4199, 4205],
+         [4209, 4212], [4226, 4237], [4250, 4255], [4294, 4303], [4349, 4351], [4686, 4687],
+         [4702, 4703], [4750, 4751], [4790, 4791], [4806, 4807], [4886, 4887], [4955, 4968],
+         [4989, 4991], [5008, 5023], [5109, 5120], [5741, 5742], [5787, 5791], [5867, 5869],
+         [5873, 5887], [5906, 5919], [5938, 5951], [5970, 5983], [6001, 6015], [6068, 6102],
+         [6104, 6107], [6109, 6111], [6122, 6127], [6138, 6159], [6170, 6175], [6264, 6271],
+         [6315, 6319], [6390, 6399], [6429, 6469], [6510, 6511], [6517, 6527], [6572, 6592],
+         [6600, 6607], [6619, 6655], [6679, 6687], [6741, 6783], [6794, 6799], [6810, 6822],
+         [6824, 6916], [6964, 6980], [6988, 6991], [7002, 7042], [7073, 7085], [7098, 7167],
+         [7204, 7231], [7242, 7244], [7294, 7400], [7410, 7423], [7616, 7679], [7958, 7959],
+         [7966, 7967], [8006, 8007], [8014, 8015], [8062, 8063], [8127, 8129], [8141, 8143],
+         [8148, 8149], [8156, 8159], [8173, 8177], [8189, 8303], [8306, 8307], [8314, 8318],
+         [8330, 8335], [8341, 8449], [8451, 8454], [8456, 8457], [8470, 8472], [8478, 8483],
+         [8506, 8507], [8512, 8516], [8522, 8525], [8586, 9311], [9372, 9449], [9472, 10101],
+         [10132, 11263], [11493, 11498], [11503, 11516], [11518, 11519], [11558, 11567],
+         [11622, 11630], [11632, 11647], [11671, 11679], [11743, 11822], [11824, 12292],
+         [12296, 12320], [12330, 12336], [12342, 12343], [12349, 12352], [12439, 12444],
+         [12544, 12548], [12590, 12592], [12687, 12689], [12694, 12703], [12728, 12783],
+         [12800, 12831], [12842, 12880], [12896, 12927], [12938, 12976], [12992, 13311],
+         [19894, 19967], [40908, 40959], [42125, 42191], [42238, 42239], [42509, 42511],
+         [42540, 42559], [42592, 42593], [42607, 42622], [42648, 42655], [42736, 42774],
+         [42784, 42785], [42889, 42890], [42893, 43002], [43043, 43055], [43062, 43071],
+         [43124, 43137], [43188, 43215], [43226, 43249], [43256, 43258], [43260, 43263],
+         [43302, 43311], [43335, 43359], [43389, 43395], [43443, 43470], [43482, 43519],
+         [43561, 43583], [43596, 43599], [43610, 43615], [43639, 43641], [43643, 43647],
+         [43698, 43700], [43703, 43704], [43710, 43711], [43715, 43738], [43742, 43967],
+         [44003, 44015], [44026, 44031], [55204, 55215], [55239, 55242], [55292, 55295],
+         [57344, 63743], [64046, 64047], [64110, 64111], [64218, 64255], [64263, 64274],
+         [64280, 64284], [64434, 64466], [64830, 64847], [64912, 64913], [64968, 65007],
+         [65020, 65135], [65277, 65295], [65306, 65312], [65339, 65344], [65371, 65381],
+         [65471, 65473], [65480, 65481], [65488, 65489], [65496, 65497]];
+    for (i = 0; i < ranges.length; i++) {
+        start = ranges[i][0];
+        end = ranges[i][1];
+        for (j = start; j <= end; j++) {
+            result[j] = true;
+        }
+    }
+    return result;
+})();
+
+function splitQuery(query) {
+    var result = [];
+    var start = -1;
+    for (var i = 0; i < query.length; i++) {
+        if (splitChars[query.charCodeAt(i)]) {
+            if (start !== -1) {
+                result.push(query.slice(start, i));
+                start = -1;
+            }
+        } else if (start === -1) {
+            start = i;
+        }
+    }
+    if (start !== -1) {
+        result.push(query.slice(start));
+    }
+    return result;
+}
+
+
diff --git a/docs/_static/minus.png b/docs/_static/minus.png
new file mode 100644
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diff --git a/docs/_static/no_image.png b/docs/_static/no_image.png
new file mode 100644
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diff --git a/docs/_static/plus.png b/docs/_static/plus.png
new file mode 100644
index 0000000..7107cec
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diff --git a/docs/_static/pygments.css b/docs/_static/pygments.css
new file mode 100644
index 0000000..20c4814
--- /dev/null
+++ b/docs/_static/pygments.css
@@ -0,0 +1,69 @@
+.highlight .hll { background-color: #ffffcc }
+.highlight  { background: #eeffcc; }
+.highlight .c { color: #408090; font-style: italic } /* Comment */
+.highlight .err { border: 1px solid #FF0000 } /* Error */
+.highlight .k { color: #007020; font-weight: bold } /* Keyword */
+.highlight .o { color: #666666 } /* Operator */
+.highlight .ch { color: #408090; font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: #408090; font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: #007020 } /* Comment.Preproc */
+.highlight .cpf { color: #408090; font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: #408090; font-style: italic } /* Comment.Single */
+.highlight .cs { color: #408090; background-color: #fff0f0 } /* Comment.Special */
+.highlight .gd { color: #A00000 } /* Generic.Deleted */
+.highlight .ge { font-style: italic } /* Generic.Emph */
+.highlight .gr { color: #FF0000 } /* Generic.Error */
+.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
+.highlight .gi { color: #00A000 } /* Generic.Inserted */
+.highlight .go { color: #333333 } /* Generic.Output */
+.highlight .gp { color: #c65d09; font-weight: bold } /* Generic.Prompt */
+.highlight .gs { font-weight: bold } /* Generic.Strong */
+.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
+.highlight .gt { color: #0044DD } /* Generic.Traceback */
+.highlight .kc { color: #007020; font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: #007020; font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: #007020; font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: #007020 } /* Keyword.Pseudo */
+.highlight .kr { color: #007020; font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: #902000 } /* Keyword.Type */
+.highlight .m { color: #208050 } /* Literal.Number */
+.highlight .s { color: #4070a0 } /* Literal.String */
+.highlight .na { color: #4070a0 } /* Name.Attribute */
+.highlight .nb { color: #007020 } /* Name.Builtin */
+.highlight .nc { color: #0e84b5; font-weight: bold } /* Name.Class */
+.highlight .no { color: #60add5 } /* Name.Constant */
+.highlight .nd { color: #555555; font-weight: bold } /* Name.Decorator */
+.highlight .ni { color: #d55537; font-weight: bold } /* Name.Entity */
+.highlight .ne { color: #007020 } /* Name.Exception */
+.highlight .nf { color: #06287e } /* Name.Function */
+.highlight .nl { color: #002070; font-weight: bold } /* Name.Label */
+.highlight .nn { color: #0e84b5; font-weight: bold } /* Name.Namespace */
+.highlight .nt { color: #062873; font-weight: bold } /* Name.Tag */
+.highlight .nv { color: #bb60d5 } /* Name.Variable */
+.highlight .ow { color: #007020; font-weight: bold } /* Operator.Word */
+.highlight .w { color: #bbbbbb } /* Text.Whitespace */
+.highlight .mb { color: #208050 } /* Literal.Number.Bin */
+.highlight .mf { color: #208050 } /* Literal.Number.Float */
+.highlight .mh { color: #208050 } /* Literal.Number.Hex */
+.highlight .mi { color: #208050 } /* Literal.Number.Integer */
+.highlight .mo { color: #208050 } /* Literal.Number.Oct */
+.highlight .sa { color: #4070a0 } /* Literal.String.Affix */
+.highlight .sb { color: #4070a0 } /* Literal.String.Backtick */
+.highlight .sc { color: #4070a0 } /* Literal.String.Char */
+.highlight .dl { color: #4070a0 } /* Literal.String.Delimiter */
+.highlight .sd { color: #4070a0; font-style: italic } /* Literal.String.Doc */
+.highlight .s2 { color: #4070a0 } /* Literal.String.Double */
+.highlight .se { color: #4070a0; font-weight: bold } /* Literal.String.Escape */
+.highlight .sh { color: #4070a0 } /* Literal.String.Heredoc */
+.highlight .si { color: #70a0d0; font-style: italic } /* Literal.String.Interpol */
+.highlight .sx { color: #c65d09 } /* Literal.String.Other */
+.highlight .sr { color: #235388 } /* Literal.String.Regex */
+.highlight .s1 { color: #4070a0 } /* Literal.String.Single */
+.highlight .ss { color: #517918 } /* Literal.String.Symbol */
+.highlight .bp { color: #007020 } /* Name.Builtin.Pseudo */
+.highlight .fm { color: #06287e } /* Name.Function.Magic */
+.highlight .vc { color: #bb60d5 } /* Name.Variable.Class */
+.highlight .vg { color: #bb60d5 } /* Name.Variable.Global */
+.highlight .vi { color: #bb60d5 } /* Name.Variable.Instance */
+.highlight .vm { color: #bb60d5 } /* Name.Variable.Magic */
+.highlight .il { color: #208050 } /* Literal.Number.Integer.Long */
\ No newline at end of file
diff --git a/docs/_static/searchtools.js b/docs/_static/searchtools.js
new file mode 100644
index 0000000..6031f99
--- /dev/null
+++ b/docs/_static/searchtools.js
@@ -0,0 +1,506 @@
+/*
+ * searchtools.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for the full-text search.
+ *
+ * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+if (!Scorer) {
+  /**
+   * Simple result scoring code.
+   */
+  var Scorer = {
+    // Implement the following function to further tweak the score for each result
+    // The function takes a result array [filename, title, anchor, descr, score]
+    // and returns the new score.
+    /*
+    score: function(result) {
+      return result[4];
+    },
+    */
+
+    // query matches the full name of an object
+    objNameMatch: 11,
+    // or matches in the last dotted part of the object name
+    objPartialMatch: 6,
+    // Additive scores depending on the priority of the object
+    objPrio: {0:  15,   // used to be importantResults
+              1:  5,   // used to be objectResults
+              2: -5},  // used to be unimportantResults
+    //  Used when the priority is not in the mapping.
+    objPrioDefault: 0,
+
+    // query found in title
+    title: 15,
+    partialTitle: 7,
+    // query found in terms
+    term: 5,
+    partialTerm: 2
+  };
+}
+
+if (!splitQuery) {
+  function splitQuery(query) {
+    return query.split(/\s+/);
+  }
+}
+
+/**
+ * Search Module
+ */
+var Search = {
+
+  _index : null,
+  _queued_query : null,
+  _pulse_status : -1,
+
+  htmlToText : function(htmlString) {
+      var htmlElement = document.createElement('span');
+      htmlElement.innerHTML = htmlString;
+      $(htmlElement).find('.headerlink').remove();
+      docContent = $(htmlElement).find('[role=main]')[0];
+      return docContent.textContent || docContent.innerText;
+  },
+
+  init : function() {
+      var params = $.getQueryParameters();
+      if (params.q) {
+          var query = params.q[0];
+          $('input[name="q"]')[0].value = query;
+          this.performSearch(query);
+      }
+  },
+
+  loadIndex : function(url) {
+    $.ajax({type: "GET", url: url, data: null,
+            dataType: "script", cache: true,
+            complete: function(jqxhr, textstatus) {
+              if (textstatus != "success") {
+                document.getElementById("searchindexloader").src = url;
+              }
+            }});
+  },
+
+  setIndex : function(index) {
+    var q;
+    this._index = index;
+    if ((q = this._queued_query) !== null) {
+      this._queued_query = null;
+      Search.query(q);
+    }
+  },
+
+  hasIndex : function() {
+      return this._index !== null;
+  },
+
+  deferQuery : function(query) {
+      this._queued_query = query;
+  },
+
+  stopPulse : function() {
+      this._pulse_status = 0;
+  },
+
+  startPulse : function() {
+    if (this._pulse_status >= 0)
+        return;
+    function pulse() {
+      var i;
+      Search._pulse_status = (Search._pulse_status + 1) % 4;
+      var dotString = '';
+      for (i = 0; i < Search._pulse_status; i++)
+        dotString += '.';
+      Search.dots.text(dotString);
+      if (Search._pulse_status > -1)
+        window.setTimeout(pulse, 500);
+    }
+    pulse();
+  },
+
+  /**
+   * perform a search for something (or wait until index is loaded)
+   */
+  performSearch : function(query) {
+    // create the required interface elements
+    this.out = $('#search-results');
+    this.title = $('<h2>' + _('Searching') + '</h2>').appendTo(this.out);
+    this.dots = $('<span></span>').appendTo(this.title);
+    this.status = $('<p class="search-summary">&nbsp;</p>').appendTo(this.out);
+    this.output = $('<ul class="search"/>').appendTo(this.out);
+
+    $('#search-progress').text(_('Preparing search...'));
+    this.startPulse();
+
+    // index already loaded, the browser was quick!
+    if (this.hasIndex())
+      this.query(query);
+    else
+      this.deferQuery(query);
+  },
+
+  /**
+   * execute search (requires search index to be loaded)
+   */
+  query : function(query) {
+    var i;
+
+    // stem the searchterms and add them to the correct list
+    var stemmer = new Stemmer();
+    var searchterms = [];
+    var excluded = [];
+    var hlterms = [];
+    var tmp = splitQuery(query);
+    var objectterms = [];
+    for (i = 0; i < tmp.length; i++) {
+      if (tmp[i] !== "") {
+          objectterms.push(tmp[i].toLowerCase());
+      }
+
+      if ($u.indexOf(stopwords, tmp[i].toLowerCase()) != -1 || tmp[i].match(/^\d+$/) ||
+          tmp[i] === "") {
+        // skip this "word"
+        continue;
+      }
+      // stem the word
+      var word = stemmer.stemWord(tmp[i].toLowerCase());
+      // prevent stemmer from cutting word smaller than two chars
+      if(word.length < 3 && tmp[i].length >= 3) {
+        word = tmp[i];
+      }
+      var toAppend;
+      // select the correct list
+      if (word[0] == '-') {
+        toAppend = excluded;
+        word = word.substr(1);
+      }
+      else {
+        toAppend = searchterms;
+        hlterms.push(tmp[i].toLowerCase());
+      }
+      // only add if not already in the list
+      if (!$u.contains(toAppend, word))
+        toAppend.push(word);
+    }
+    var highlightstring = '?highlight=' + $.urlencode(hlterms.join(" "));
+
+    // console.debug('SEARCH: searching for:');
+    // console.info('required: ', searchterms);
+    // console.info('excluded: ', excluded);
+
+    // prepare search
+    var terms = this._index.terms;
+    var titleterms = this._index.titleterms;
+
+    // array of [filename, title, anchor, descr, score]
+    var results = [];
+    $('#search-progress').empty();
+
+    // lookup as object
+    for (i = 0; i < objectterms.length; i++) {
+      var others = [].concat(objectterms.slice(0, i),
+                             objectterms.slice(i+1, objectterms.length));
+      results = results.concat(this.performObjectSearch(objectterms[i], others));
+    }
+
+    // lookup as search terms in fulltext
+    results = results.concat(this.performTermsSearch(searchterms, excluded, terms, titleterms));
+
+    // let the scorer override scores with a custom scoring function
+    if (Scorer.score) {
+      for (i = 0; i < results.length; i++)
+        results[i][4] = Scorer.score(results[i]);
+    }
+
+    // now sort the results by score (in opposite order of appearance, since the
+    // display function below uses pop() to retrieve items) and then
+    // alphabetically
+    results.sort(function(a, b) {
+      var left = a[4];
+      var right = b[4];
+      if (left > right) {
+        return 1;
+      } else if (left < right) {
+        return -1;
+      } else {
+        // same score: sort alphabetically
+        left = a[1].toLowerCase();
+        right = b[1].toLowerCase();
+        return (left > right) ? -1 : ((left < right) ? 1 : 0);
+      }
+    });
+
+    // for debugging
+    //Search.lastresults = results.slice();  // a copy
+    //console.info('search results:', Search.lastresults);
+
+    // print the results
+    var resultCount = results.length;
+    function displayNextItem() {
+      // results left, load the summary and display it
+      if (results.length) {
+        var item = results.pop();
+        var listItem = $('<li style="display:none"></li>');
+        if (DOCUMENTATION_OPTIONS.FILE_SUFFIX === '') {
+          // dirhtml builder
+          var dirname = item[0] + '/';
+          if (dirname.match(/\/index\/$/)) {
+            dirname = dirname.substring(0, dirname.length-6);
+          } else if (dirname == 'index/') {
+            dirname = '';
+          }
+          listItem.append($('<a/>').attr('href',
+            DOCUMENTATION_OPTIONS.URL_ROOT + dirname +
+            highlightstring + item[2]).html(item[1]));
+        } else {
+          // normal html builders
+          listItem.append($('<a/>').attr('href',
+            item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX +
+            highlightstring + item[2]).html(item[1]));
+        }
+        if (item[3]) {
+          listItem.append($('<span> (' + item[3] + ')</span>'));
+          Search.output.append(listItem);
+          listItem.slideDown(5, function() {
+            displayNextItem();
+          });
+        } else if (DOCUMENTATION_OPTIONS.HAS_SOURCE) {
+          $.ajax({url: DOCUMENTATION_OPTIONS.URL_ROOT + item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX,
+                  dataType: "text",
+                  complete: function(jqxhr, textstatus) {
+                    var data = jqxhr.responseText;
+                    if (data !== '' && data !== undefined) {
+                      listItem.append(Search.makeSearchSummary(data, searchterms, hlterms));
+                    }
+                    Search.output.append(listItem);
+                    listItem.slideDown(5, function() {
+                      displayNextItem();
+                    });
+                  }});
+        } else {
+          // no source available, just display title
+          Search.output.append(listItem);
+          listItem.slideDown(5, function() {
+            displayNextItem();
+          });
+        }
+      }
+      // search finished, update title and status message
+      else {
+        Search.stopPulse();
+        Search.title.text(_('Search Results'));
+        if (!resultCount)
+          Search.status.text(_('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.'));
+        else
+            Search.status.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount));
+        Search.status.fadeIn(500);
+      }
+    }
+    displayNextItem();
+  },
+
+  /**
+   * search for object names
+   */
+  performObjectSearch : function(object, otherterms) {
+    var filenames = this._index.filenames;
+    var docnames = this._index.docnames;
+    var objects = this._index.objects;
+    var objnames = this._index.objnames;
+    var titles = this._index.titles;
+
+    var i;
+    var results = [];
+
+    for (var prefix in objects) {
+      for (var name in objects[prefix]) {
+        var fullname = (prefix ? prefix + '.' : '') + name;
+        var fullnameLower = fullname.toLowerCase()
+        if (fullnameLower.indexOf(object) > -1) {
+          var score = 0;
+          var parts = fullnameLower.split('.');
+          // check for different match types: exact matches of full name or
+          // "last name" (i.e. last dotted part)
+          if (fullnameLower == object || parts[parts.length - 1] == object) {
+            score += Scorer.objNameMatch;
+          // matches in last name
+          } else if (parts[parts.length - 1].indexOf(object) > -1) {
+            score += Scorer.objPartialMatch;
+          }
+          var match = objects[prefix][name];
+          var objname = objnames[match[1]][2];
+          var title = titles[match[0]];
+          // If more than one term searched for, we require other words to be
+          // found in the name/title/description
+          if (otherterms.length > 0) {
+            var haystack = (prefix + ' ' + name + ' ' +
+                            objname + ' ' + title).toLowerCase();
+            var allfound = true;
+            for (i = 0; i < otherterms.length; i++) {
+              if (haystack.indexOf(otherterms[i]) == -1) {
+                allfound = false;
+                break;
+              }
+            }
+            if (!allfound) {
+              continue;
+            }
+          }
+          var descr = objname + _(', in ') + title;
+
+          var anchor = match[3];
+          if (anchor === '')
+            anchor = fullname;
+          else if (anchor == '-')
+            anchor = objnames[match[1]][1] + '-' + fullname;
+          // add custom score for some objects according to scorer
+          if (Scorer.objPrio.hasOwnProperty(match[2])) {
+            score += Scorer.objPrio[match[2]];
+          } else {
+            score += Scorer.objPrioDefault;
+          }
+          results.push([docnames[match[0]], fullname, '#'+anchor, descr, score, filenames[match[0]]]);
+        }
+      }
+    }
+
+    return results;
+  },
+
+  /**
+   * search for full-text terms in the index
+   */
+  performTermsSearch : function(searchterms, excluded, terms, titleterms) {
+    var docnames = this._index.docnames;
+    var filenames = this._index.filenames;
+    var titles = this._index.titles;
+
+    var i, j, file;
+    var fileMap = {};
+    var scoreMap = {};
+    var results = [];
+
+    // perform the search on the required terms
+    for (i = 0; i < searchterms.length; i++) {
+      var word = searchterms[i];
+      var files = [];
+      var _o = [
+        {files: terms[word], score: Scorer.term},
+        {files: titleterms[word], score: Scorer.title}
+      ];
+      // add support for partial matches
+      if (word.length > 2) {
+        for (var w in terms) {
+          if (w.match(word) && !terms[word]) {
+            _o.push({files: terms[w], score: Scorer.partialTerm})
+          }
+        }
+        for (var w in titleterms) {
+          if (w.match(word) && !titleterms[word]) {
+              _o.push({files: titleterms[w], score: Scorer.partialTitle})
+          }
+        }
+      }
+
+      // no match but word was a required one
+      if ($u.every(_o, function(o){return o.files === undefined;})) {
+        break;
+      }
+      // found search word in contents
+      $u.each(_o, function(o) {
+        var _files = o.files;
+        if (_files === undefined)
+          return
+
+        if (_files.length === undefined)
+          _files = [_files];
+        files = files.concat(_files);
+
+        // set score for the word in each file to Scorer.term
+        for (j = 0; j < _files.length; j++) {
+          file = _files[j];
+          if (!(file in scoreMap))
+            scoreMap[file] = {}
+          scoreMap[file][word] = o.score;
+        }
+      });
+
+      // create the mapping
+      for (j = 0; j < files.length; j++) {
+        file = files[j];
+        if (file in fileMap)
+          fileMap[file].push(word);
+        else
+          fileMap[file] = [word];
+      }
+    }
+
+    // now check if the files don't contain excluded terms
+    for (file in fileMap) {
+      var valid = true;
+
+      // check if all requirements are matched
+      var filteredTermCount = // as search terms with length < 3 are discarded: ignore
+        searchterms.filter(function(term){return term.length > 2}).length
+      if (
+        fileMap[file].length != searchterms.length &&
+        fileMap[file].length != filteredTermCount
+      ) continue;
+
+      // ensure that none of the excluded terms is in the search result
+      for (i = 0; i < excluded.length; i++) {
+        if (terms[excluded[i]] == file ||
+            titleterms[excluded[i]] == file ||
+            $u.contains(terms[excluded[i]] || [], file) ||
+            $u.contains(titleterms[excluded[i]] || [], file)) {
+          valid = false;
+          break;
+        }
+      }
+
+      // if we have still a valid result we can add it to the result list
+      if (valid) {
+        // select one (max) score for the file.
+        // for better ranking, we should calculate ranking by using words statistics like basic tf-idf...
+        var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]}));
+        results.push([docnames[file], titles[file], '', null, score, filenames[file]]);
+      }
+    }
+    return results;
+  },
+
+  /**
+   * helper function to return a node containing the
+   * search summary for a given text. keywords is a list
+   * of stemmed words, hlwords is the list of normal, unstemmed
+   * words. the first one is used to find the occurrence, the
+   * latter for highlighting it.
+   */
+  makeSearchSummary : function(htmlText, keywords, hlwords) {
+    var text = Search.htmlToText(htmlText);
+    var textLower = text.toLowerCase();
+    var start = 0;
+    $.each(keywords, function() {
+      var i = textLower.indexOf(this.toLowerCase());
+      if (i > -1)
+        start = i;
+    });
+    start = Math.max(start - 120, 0);
+    var excerpt = ((start > 0) ? '...' : '') +
+      $.trim(text.substr(start, 240)) +
+      ((start + 240 - text.length) ? '...' : '');
+    var rv = $('<div class="context"></div>').text(excerpt);
+    $.each(hlwords, function() {
+      rv = rv.highlightText(this, 'highlighted');
+    });
+    return rv;
+  }
+};
+
+$(document).ready(function() {
+  Search.init();
+});
diff --git a/docs/_static/underscore-1.3.1.js b/docs/_static/underscore-1.3.1.js
new file mode 100644
index 0000000..208d4cd
--- /dev/null
+++ b/docs/_static/underscore-1.3.1.js
@@ -0,0 +1,999 @@
+//     Underscore.js 1.3.1
+//     (c) 2009-2012 Jeremy Ashkenas, DocumentCloud Inc.
+//     Underscore is freely distributable under the MIT license.
+//     Portions of Underscore are inspired or borrowed from Prototype,
+//     Oliver Steele's Functional, and John Resig's Micro-Templating.
+//     For all details and documentation:
+//     http://documentcloud.github.com/underscore
+
+(function() {
+
+  // Baseline setup
+  // --------------
+
+  // Establish the root object, `window` in the browser, or `global` on the server.
+  var root = this;
+
+  // Save the previous value of the `_` variable.
+  var previousUnderscore = root._;
+
+  // Establish the object that gets returned to break out of a loop iteration.
+  var breaker = {};
+
+  // Save bytes in the minified (but not gzipped) version:
+  var ArrayProto = Array.prototype, ObjProto = Object.prototype, FuncProto = Function.prototype;
+
+  // Create quick reference variables for speed access to core prototypes.
+  var slice            = ArrayProto.slice,
+      unshift          = ArrayProto.unshift,
+      toString         = ObjProto.toString,
+      hasOwnProperty   = ObjProto.hasOwnProperty;
+
+  // All **ECMAScript 5** native function implementations that we hope to use
+  // are declared here.
+  var
+    nativeForEach      = ArrayProto.forEach,
+    nativeMap          = ArrayProto.map,
+    nativeReduce       = ArrayProto.reduce,
+    nativeReduceRight  = ArrayProto.reduceRight,
+    nativeFilter       = ArrayProto.filter,
+    nativeEvery        = ArrayProto.every,
+    nativeSome         = ArrayProto.some,
+    nativeIndexOf      = ArrayProto.indexOf,
+    nativeLastIndexOf  = ArrayProto.lastIndexOf,
+    nativeIsArray      = Array.isArray,
+    nativeKeys         = Object.keys,
+    nativeBind         = FuncProto.bind;
+
+  // Create a safe reference to the Underscore object for use below.
+  var _ = function(obj) { return new wrapper(obj); };
+
+  // Export the Underscore object for **Node.js**, with
+  // backwards-compatibility for the old `require()` API. If we're in
+  // the browser, add `_` as a global object via a string identifier,
+  // for Closure Compiler "advanced" mode.
+  if (typeof exports !== 'undefined') {
+    if (typeof module !== 'undefined' && module.exports) {
+      exports = module.exports = _;
+    }
+    exports._ = _;
+  } else {
+    root['_'] = _;
+  }
+
+  // Current version.
+  _.VERSION = '1.3.1';
+
+  // Collection Functions
+  // --------------------
+
+  // The cornerstone, an `each` implementation, aka `forEach`.
+  // Handles objects with the built-in `forEach`, arrays, and raw objects.
+  // Delegates to **ECMAScript 5**'s native `forEach` if available.
+  var each = _.each = _.forEach = function(obj, iterator, context) {
+    if (obj == null) return;
+    if (nativeForEach && obj.forEach === nativeForEach) {
+      obj.forEach(iterator, context);
+    } else if (obj.length === +obj.length) {
+      for (var i = 0, l = obj.length; i < l; i++) {
+        if (i in obj && iterator.call(context, obj[i], i, obj) === breaker) return;
+      }
+    } else {
+      for (var key in obj) {
+        if (_.has(obj, key)) {
+          if (iterator.call(context, obj[key], key, obj) === breaker) return;
+        }
+      }
+    }
+  };
+
+  // Return the results of applying the iterator to each element.
+  // Delegates to **ECMAScript 5**'s native `map` if available.
+  _.map = _.collect = function(obj, iterator, context) {
+    var results = [];
+    if (obj == null) return results;
+    if (nativeMap && obj.map === nativeMap) return obj.map(iterator, context);
+    each(obj, function(value, index, list) {
+      results[results.length] = iterator.call(context, value, index, list);
+    });
+    if (obj.length === +obj.length) results.length = obj.length;
+    return results;
+  };
+
+  // **Reduce** builds up a single result from a list of values, aka `inject`,
+  // or `foldl`. Delegates to **ECMAScript 5**'s native `reduce` if available.
+  _.reduce = _.foldl = _.inject = function(obj, iterator, memo, context) {
+    var initial = arguments.length > 2;
+    if (obj == null) obj = [];
+    if (nativeReduce && obj.reduce === nativeReduce) {
+      if (context) iterator = _.bind(iterator, context);
+      return initial ? obj.reduce(iterator, memo) : obj.reduce(iterator);
+    }
+    each(obj, function(value, index, list) {
+      if (!initial) {
+        memo = value;
+        initial = true;
+      } else {
+        memo = iterator.call(context, memo, value, index, list);
+      }
+    });
+    if (!initial) throw new TypeError('Reduce of empty array with no initial value');
+    return memo;
+  };
+
+  // The right-associative version of reduce, also known as `foldr`.
+  // Delegates to **ECMAScript 5**'s native `reduceRight` if available.
+  _.reduceRight = _.foldr = function(obj, iterator, memo, context) {
+    var initial = arguments.length > 2;
+    if (obj == null) obj = [];
+    if (nativeReduceRight && obj.reduceRight === nativeReduceRight) {
+      if (context) iterator = _.bind(iterator, context);
+      return initial ? obj.reduceRight(iterator, memo) : obj.reduceRight(iterator);
+    }
+    var reversed = _.toArray(obj).reverse();
+    if (context && !initial) iterator = _.bind(iterator, context);
+    return initial ? _.reduce(reversed, iterator, memo, context) : _.reduce(reversed, iterator);
+  };
+
+  // Return the first value which passes a truth test. Aliased as `detect`.
+  _.find = _.detect = function(obj, iterator, context) {
+    var result;
+    any(obj, function(value, index, list) {
+      if (iterator.call(context, value, index, list)) {
+        result = value;
+        return true;
+      }
+    });
+    return result;
+  };
+
+  // Return all the elements that pass a truth test.
+  // Delegates to **ECMAScript 5**'s native `filter` if available.
+  // Aliased as `select`.
+  _.filter = _.select = function(obj, iterator, context) {
+    var results = [];
+    if (obj == null) return results;
+    if (nativeFilter && obj.filter === nativeFilter) return obj.filter(iterator, context);
+    each(obj, function(value, index, list) {
+      if (iterator.call(context, value, index, list)) results[results.length] = value;
+    });
+    return results;
+  };
+
+  // Return all the elements for which a truth test fails.
+  _.reject = function(obj, iterator, context) {
+    var results = [];
+    if (obj == null) return results;
+    each(obj, function(value, index, list) {
+      if (!iterator.call(context, value, index, list)) results[results.length] = value;
+    });
+    return results;
+  };
+
+  // Determine whether all of the elements match a truth test.
+  // Delegates to **ECMAScript 5**'s native `every` if available.
+  // Aliased as `all`.
+  _.every = _.all = function(obj, iterator, context) {
+    var result = true;
+    if (obj == null) return result;
+    if (nativeEvery && obj.every === nativeEvery) return obj.every(iterator, context);
+    each(obj, function(value, index, list) {
+      if (!(result = result && iterator.call(context, value, index, list))) return breaker;
+    });
+    return result;
+  };
+
+  // Determine if at least one element in the object matches a truth test.
+  // Delegates to **ECMAScript 5**'s native `some` if available.
+  // Aliased as `any`.
+  var any = _.some = _.any = function(obj, iterator, context) {
+    iterator || (iterator = _.identity);
+    var result = false;
+    if (obj == null) return result;
+    if (nativeSome && obj.some === nativeSome) return obj.some(iterator, context);
+    each(obj, function(value, index, list) {
+      if (result || (result = iterator.call(context, value, index, list))) return breaker;
+    });
+    return !!result;
+  };
+
+  // Determine if a given value is included in the array or object using `===`.
+  // Aliased as `contains`.
+  _.include = _.contains = function(obj, target) {
+    var found = false;
+    if (obj == null) return found;
+    if (nativeIndexOf && obj.indexOf === nativeIndexOf) return obj.indexOf(target) != -1;
+    found = any(obj, function(value) {
+      return value === target;
+    });
+    return found;
+  };
+
+  // Invoke a method (with arguments) on every item in a collection.
+  _.invoke = function(obj, method) {
+    var args = slice.call(arguments, 2);
+    return _.map(obj, function(value) {
+      return (_.isFunction(method) ? method || value : value[method]).apply(value, args);
+    });
+  };
+
+  // Convenience version of a common use case of `map`: fetching a property.
+  _.pluck = function(obj, key) {
+    return _.map(obj, function(value){ return value[key]; });
+  };
+
+  // Return the maximum element or (element-based computation).
+  _.max = function(obj, iterator, context) {
+    if (!iterator && _.isArray(obj)) return Math.max.apply(Math, obj);
+    if (!iterator && _.isEmpty(obj)) return -Infinity;
+    var result = {computed : -Infinity};
+    each(obj, function(value, index, list) {
+      var computed = iterator ? iterator.call(context, value, index, list) : value;
+      computed >= result.computed && (result = {value : value, computed : computed});
+    });
+    return result.value;
+  };
+
+  // Return the minimum element (or element-based computation).
+  _.min = function(obj, iterator, context) {
+    if (!iterator && _.isArray(obj)) return Math.min.apply(Math, obj);
+    if (!iterator && _.isEmpty(obj)) return Infinity;
+    var result = {computed : Infinity};
+    each(obj, function(value, index, list) {
+      var computed = iterator ? iterator.call(context, value, index, list) : value;
+      computed < result.computed && (result = {value : value, computed : computed});
+    });
+    return result.value;
+  };
+
+  // Shuffle an array.
+  _.shuffle = function(obj) {
+    var shuffled = [], rand;
+    each(obj, function(value, index, list) {
+      if (index == 0) {
+        shuffled[0] = value;
+      } else {
+        rand = Math.floor(Math.random() * (index + 1));
+        shuffled[index] = shuffled[rand];
+        shuffled[rand] = value;
+      }
+    });
+    return shuffled;
+  };
+
+  // Sort the object's values by a criterion produced by an iterator.
+  _.sortBy = function(obj, iterator, context) {
+    return _.pluck(_.map(obj, function(value, index, list) {
+      return {
+        value : value,
+        criteria : iterator.call(context, value, index, list)
+      };
+    }).sort(function(left, right) {
+      var a = left.criteria, b = right.criteria;
+      return a < b ? -1 : a > b ? 1 : 0;
+    }), 'value');
+  };
+
+  // Groups the object's values by a criterion. Pass either a string attribute
+  // to group by, or a function that returns the criterion.
+  _.groupBy = function(obj, val) {
+    var result = {};
+    var iterator = _.isFunction(val) ? val : function(obj) { return obj[val]; };
+    each(obj, function(value, index) {
+      var key = iterator(value, index);
+      (result[key] || (result[key] = [])).push(value);
+    });
+    return result;
+  };
+
+  // Use a comparator function to figure out at what index an object should
+  // be inserted so as to maintain order. Uses binary search.
+  _.sortedIndex = function(array, obj, iterator) {
+    iterator || (iterator = _.identity);
+    var low = 0, high = array.length;
+    while (low < high) {
+      var mid = (low + high) >> 1;
+      iterator(array[mid]) < iterator(obj) ? low = mid + 1 : high = mid;
+    }
+    return low;
+  };
+
+  // Safely convert anything iterable into a real, live array.
+  _.toArray = function(iterable) {
+    if (!iterable)                return [];
+    if (iterable.toArray)         return iterable.toArray();
+    if (_.isArray(iterable))      return slice.call(iterable);
+    if (_.isArguments(iterable))  return slice.call(iterable);
+    return _.values(iterable);
+  };
+
+  // Return the number of elements in an object.
+  _.size = function(obj) {
+    return _.toArray(obj).length;
+  };
+
+  // Array Functions
+  // ---------------
+
+  // Get the first element of an array. Passing **n** will return the first N
+  // values in the array. Aliased as `head`. The **guard** check allows it to work
+  // with `_.map`.
+  _.first = _.head = function(array, n, guard) {
+    return (n != null) && !guard ? slice.call(array, 0, n) : array[0];
+  };
+
+  // Returns everything but the last entry of the array. Especcialy useful on
+  // the arguments object. Passing **n** will return all the values in
+  // the array, excluding the last N. The **guard** check allows it to work with
+  // `_.map`.
+  _.initial = function(array, n, guard) {
+    return slice.call(array, 0, array.length - ((n == null) || guard ? 1 : n));
+  };
+
+  // Get the last element of an array. Passing **n** will return the last N
+  // values in the array. The **guard** check allows it to work with `_.map`.
+  _.last = function(array, n, guard) {
+    if ((n != null) && !guard) {
+      return slice.call(array, Math.max(array.length - n, 0));
+    } else {
+      return array[array.length - 1];
+    }
+  };
+
+  // Returns everything but the first entry of the array. Aliased as `tail`.
+  // Especially useful on the arguments object. Passing an **index** will return
+  // the rest of the values in the array from that index onward. The **guard**
+  // check allows it to work with `_.map`.
+  _.rest = _.tail = function(array, index, guard) {
+    return slice.call(array, (index == null) || guard ? 1 : index);
+  };
+
+  // Trim out all falsy values from an array.
+  _.compact = function(array) {
+    return _.filter(array, function(value){ return !!value; });
+  };
+
+  // Return a completely flattened version of an array.
+  _.flatten = function(array, shallow) {
+    return _.reduce(array, function(memo, value) {
+      if (_.isArray(value)) return memo.concat(shallow ? value : _.flatten(value));
+      memo[memo.length] = value;
+      return memo;
+    }, []);
+  };
+
+  // Return a version of the array that does not contain the specified value(s).
+  _.without = function(array) {
+    return _.difference(array, slice.call(arguments, 1));
+  };
+
+  // Produce a duplicate-free version of the array. If the array has already
+  // been sorted, you have the option of using a faster algorithm.
+  // Aliased as `unique`.
+  _.uniq = _.unique = function(array, isSorted, iterator) {
+    var initial = iterator ? _.map(array, iterator) : array;
+    var result = [];
+    _.reduce(initial, function(memo, el, i) {
+      if (0 == i || (isSorted === true ? _.last(memo) != el : !_.include(memo, el))) {
+        memo[memo.length] = el;
+        result[result.length] = array[i];
+      }
+      return memo;
+    }, []);
+    return result;
+  };
+
+  // Produce an array that contains the union: each distinct element from all of
+  // the passed-in arrays.
+  _.union = function() {
+    return _.uniq(_.flatten(arguments, true));
+  };
+
+  // Produce an array that contains every item shared between all the
+  // passed-in arrays. (Aliased as "intersect" for back-compat.)
+  _.intersection = _.intersect = function(array) {
+    var rest = slice.call(arguments, 1);
+    return _.filter(_.uniq(array), function(item) {
+      return _.every(rest, function(other) {
+        return _.indexOf(other, item) >= 0;
+      });
+    });
+  };
+
+  // Take the difference between one array and a number of other arrays.
+  // Only the elements present in just the first array will remain.
+  _.difference = function(array) {
+    var rest = _.flatten(slice.call(arguments, 1));
+    return _.filter(array, function(value){ return !_.include(rest, value); });
+  };
+
+  // Zip together multiple lists into a single array -- elements that share
+  // an index go together.
+  _.zip = function() {
+    var args = slice.call(arguments);
+    var length = _.max(_.pluck(args, 'length'));
+    var results = new Array(length);
+    for (var i = 0; i < length; i++) results[i] = _.pluck(args, "" + i);
+    return results;
+  };
+
+  // If the browser doesn't supply us with indexOf (I'm looking at you, **MSIE**),
+  // we need this function. Return the position of the first occurrence of an
+  // item in an array, or -1 if the item is not included in the array.
+  // Delegates to **ECMAScript 5**'s native `indexOf` if available.
+  // If the array is large and already in sort order, pass `true`
+  // for **isSorted** to use binary search.
+  _.indexOf = function(array, item, isSorted) {
+    if (array == null) return -1;
+    var i, l;
+    if (isSorted) {
+      i = _.sortedIndex(array, item);
+      return array[i] === item ? i : -1;
+    }
+    if (nativeIndexOf && array.indexOf === nativeIndexOf) return array.indexOf(item);
+    for (i = 0, l = array.length; i < l; i++) if (i in array && array[i] === item) return i;
+    return -1;
+  };
+
+  // Delegates to **ECMAScript 5**'s native `lastIndexOf` if available.
+  _.lastIndexOf = function(array, item) {
+    if (array == null) return -1;
+    if (nativeLastIndexOf && array.lastIndexOf === nativeLastIndexOf) return array.lastIndexOf(item);
+    var i = array.length;
+    while (i--) if (i in array && array[i] === item) return i;
+    return -1;
+  };
+
+  // Generate an integer Array containing an arithmetic progression. A port of
+  // the native Python `range()` function. See
+  // [the Python documentation](http://docs.python.org/library/functions.html#range).
+  _.range = function(start, stop, step) {
+    if (arguments.length <= 1) {
+      stop = start || 0;
+      start = 0;
+    }
+    step = arguments[2] || 1;
+
+    var len = Math.max(Math.ceil((stop - start) / step), 0);
+    var idx = 0;
+    var range = new Array(len);
+
+    while(idx < len) {
+      range[idx++] = start;
+      start += step;
+    }
+
+    return range;
+  };
+
+  // Function (ahem) Functions
+  // ------------------
+
+  // Reusable constructor function for prototype setting.
+  var ctor = function(){};
+
+  // Create a function bound to a given object (assigning `this`, and arguments,
+  // optionally). Binding with arguments is also known as `curry`.
+  // Delegates to **ECMAScript 5**'s native `Function.bind` if available.
+  // We check for `func.bind` first, to fail fast when `func` is undefined.
+  _.bind = function bind(func, context) {
+    var bound, args;
+    if (func.bind === nativeBind && nativeBind) return nativeBind.apply(func, slice.call(arguments, 1));
+    if (!_.isFunction(func)) throw new TypeError;
+    args = slice.call(arguments, 2);
+    return bound = function() {
+      if (!(this instanceof bound)) return func.apply(context, args.concat(slice.call(arguments)));
+      ctor.prototype = func.prototype;
+      var self = new ctor;
+      var result = func.apply(self, args.concat(slice.call(arguments)));
+      if (Object(result) === result) return result;
+      return self;
+    };
+  };
+
+  // Bind all of an object's methods to that object. Useful for ensuring that
+  // all callbacks defined on an object belong to it.
+  _.bindAll = function(obj) {
+    var funcs = slice.call(arguments, 1);
+    if (funcs.length == 0) funcs = _.functions(obj);
+    each(funcs, function(f) { obj[f] = _.bind(obj[f], obj); });
+    return obj;
+  };
+
+  // Memoize an expensive function by storing its results.
+  _.memoize = function(func, hasher) {
+    var memo = {};
+    hasher || (hasher = _.identity);
+    return function() {
+      var key = hasher.apply(this, arguments);
+      return _.has(memo, key) ? memo[key] : (memo[key] = func.apply(this, arguments));
+    };
+  };
+
+  // Delays a function for the given number of milliseconds, and then calls
+  // it with the arguments supplied.
+  _.delay = function(func, wait) {
+    var args = slice.call(arguments, 2);
+    return setTimeout(function(){ return func.apply(func, args); }, wait);
+  };
+
+  // Defers a function, scheduling it to run after the current call stack has
+  // cleared.
+  _.defer = function(func) {
+    return _.delay.apply(_, [func, 1].concat(slice.call(arguments, 1)));
+  };
+
+  // Returns a function, that, when invoked, will only be triggered at most once
+  // during a given window of time.
+  _.throttle = function(func, wait) {
+    var context, args, timeout, throttling, more;
+    var whenDone = _.debounce(function(){ more = throttling = false; }, wait);
+    return function() {
+      context = this; args = arguments;
+      var later = function() {
+        timeout = null;
+        if (more) func.apply(context, args);
+        whenDone();
+      };
+      if (!timeout) timeout = setTimeout(later, wait);
+      if (throttling) {
+        more = true;
+      } else {
+        func.apply(context, args);
+      }
+      whenDone();
+      throttling = true;
+    };
+  };
+
+  // Returns a function, that, as long as it continues to be invoked, will not
+  // be triggered. The function will be called after it stops being called for
+  // N milliseconds.
+  _.debounce = function(func, wait) {
+    var timeout;
+    return function() {
+      var context = this, args = arguments;
+      var later = function() {
+        timeout = null;
+        func.apply(context, args);
+      };
+      clearTimeout(timeout);
+      timeout = setTimeout(later, wait);
+    };
+  };
+
+  // Returns a function that will be executed at most one time, no matter how
+  // often you call it. Useful for lazy initialization.
+  _.once = function(func) {
+    var ran = false, memo;
+    return function() {
+      if (ran) return memo;
+      ran = true;
+      return memo = func.apply(this, arguments);
+    };
+  };
+
+  // Returns the first function passed as an argument to the second,
+  // allowing you to adjust arguments, run code before and after, and
+  // conditionally execute the original function.
+  _.wrap = function(func, wrapper) {
+    return function() {
+      var args = [func].concat(slice.call(arguments, 0));
+      return wrapper.apply(this, args);
+    };
+  };
+
+  // Returns a function that is the composition of a list of functions, each
+  // consuming the return value of the function that follows.
+  _.compose = function() {
+    var funcs = arguments;
+    return function() {
+      var args = arguments;
+      for (var i = funcs.length - 1; i >= 0; i--) {
+        args = [funcs[i].apply(this, args)];
+      }
+      return args[0];
+    };
+  };
+
+  // Returns a function that will only be executed after being called N times.
+  _.after = function(times, func) {
+    if (times <= 0) return func();
+    return function() {
+      if (--times < 1) { return func.apply(this, arguments); }
+    };
+  };
+
+  // Object Functions
+  // ----------------
+
+  // Retrieve the names of an object's properties.
+  // Delegates to **ECMAScript 5**'s native `Object.keys`
+  _.keys = nativeKeys || function(obj) {
+    if (obj !== Object(obj)) throw new TypeError('Invalid object');
+    var keys = [];
+    for (var key in obj) if (_.has(obj, key)) keys[keys.length] = key;
+    return keys;
+  };
+
+  // Retrieve the values of an object's properties.
+  _.values = function(obj) {
+    return _.map(obj, _.identity);
+  };
+
+  // Return a sorted list of the function names available on the object.
+  // Aliased as `methods`
+  _.functions = _.methods = function(obj) {
+    var names = [];
+    for (var key in obj) {
+      if (_.isFunction(obj[key])) names.push(key);
+    }
+    return names.sort();
+  };
+
+  // Extend a given object with all the properties in passed-in object(s).
+  _.extend = function(obj) {
+    each(slice.call(arguments, 1), function(source) {
+      for (var prop in source) {
+        obj[prop] = source[prop];
+      }
+    });
+    return obj;
+  };
+
+  // Fill in a given object with default properties.
+  _.defaults = function(obj) {
+    each(slice.call(arguments, 1), function(source) {
+      for (var prop in source) {
+        if (obj[prop] == null) obj[prop] = source[prop];
+      }
+    });
+    return obj;
+  };
+
+  // Create a (shallow-cloned) duplicate of an object.
+  _.clone = function(obj) {
+    if (!_.isObject(obj)) return obj;
+    return _.isArray(obj) ? obj.slice() : _.extend({}, obj);
+  };
+
+  // Invokes interceptor with the obj, and then returns obj.
+  // The primary purpose of this method is to "tap into" a method chain, in
+  // order to perform operations on intermediate results within the chain.
+  _.tap = function(obj, interceptor) {
+    interceptor(obj);
+    return obj;
+  };
+
+  // Internal recursive comparison function.
+  function eq(a, b, stack) {
+    // Identical objects are equal. `0 === -0`, but they aren't identical.
+    // See the Harmony `egal` proposal: http://wiki.ecmascript.org/doku.php?id=harmony:egal.
+    if (a === b) return a !== 0 || 1 / a == 1 / b;
+    // A strict comparison is necessary because `null == undefined`.
+    if (a == null || b == null) return a === b;
+    // Unwrap any wrapped objects.
+    if (a._chain) a = a._wrapped;
+    if (b._chain) b = b._wrapped;
+    // Invoke a custom `isEqual` method if one is provided.
+    if (a.isEqual && _.isFunction(a.isEqual)) return a.isEqual(b);
+    if (b.isEqual && _.isFunction(b.isEqual)) return b.isEqual(a);
+    // Compare `[[Class]]` names.
+    var className = toString.call(a);
+    if (className != toString.call(b)) return false;
+    switch (className) {
+      // Strings, numbers, dates, and booleans are compared by value.
+      case '[object String]':
+        // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is
+        // equivalent to `new String("5")`.
+        return a == String(b);
+      case '[object Number]':
+        // `NaN`s are equivalent, but non-reflexive. An `egal` comparison is performed for
+        // other numeric values.
+        return a != +a ? b != +b : (a == 0 ? 1 / a == 1 / b : a == +b);
+      case '[object Date]':
+      case '[object Boolean]':
+        // Coerce dates and booleans to numeric primitive values. Dates are compared by their
+        // millisecond representations. Note that invalid dates with millisecond representations
+        // of `NaN` are not equivalent.
+        return +a == +b;
+      // RegExps are compared by their source patterns and flags.
+      case '[object RegExp]':
+        return a.source == b.source &&
+               a.global == b.global &&
+               a.multiline == b.multiline &&
+               a.ignoreCase == b.ignoreCase;
+    }
+    if (typeof a != 'object' || typeof b != 'object') return false;
+    // Assume equality for cyclic structures. The algorithm for detecting cyclic
+    // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`.
+    var length = stack.length;
+    while (length--) {
+      // Linear search. Performance is inversely proportional to the number of
+      // unique nested structures.
+      if (stack[length] == a) return true;
+    }
+    // Add the first object to the stack of traversed objects.
+    stack.push(a);
+    var size = 0, result = true;
+    // Recursively compare objects and arrays.
+    if (className == '[object Array]') {
+      // Compare array lengths to determine if a deep comparison is necessary.
+      size = a.length;
+      result = size == b.length;
+      if (result) {
+        // Deep compare the contents, ignoring non-numeric properties.
+        while (size--) {
+          // Ensure commutative equality for sparse arrays.
+          if (!(result = size in a == size in b && eq(a[size], b[size], stack))) break;
+        }
+      }
+    } else {
+      // Objects with different constructors are not equivalent.
+      if ('constructor' in a != 'constructor' in b || a.constructor != b.constructor) return false;
+      // Deep compare objects.
+      for (var key in a) {
+        if (_.has(a, key)) {
+          // Count the expected number of properties.
+          size++;
+          // Deep compare each member.
+          if (!(result = _.has(b, key) && eq(a[key], b[key], stack))) break;
+        }
+      }
+      // Ensure that both objects contain the same number of properties.
+      if (result) {
+        for (key in b) {
+          if (_.has(b, key) && !(size--)) break;
+        }
+        result = !size;
+      }
+    }
+    // Remove the first object from the stack of traversed objects.
+    stack.pop();
+    return result;
+  }
+
+  // Perform a deep comparison to check if two objects are equal.
+  _.isEqual = function(a, b) {
+    return eq(a, b, []);
+  };
+
+  // Is a given array, string, or object empty?
+  // An "empty" object has no enumerable own-properties.
+  _.isEmpty = function(obj) {
+    if (_.isArray(obj) || _.isString(obj)) return obj.length === 0;
+    for (var key in obj) if (_.has(obj, key)) return false;
+    return true;
+  };
+
+  // Is a given value a DOM element?
+  _.isElement = function(obj) {
+    return !!(obj && obj.nodeType == 1);
+  };
+
+  // Is a given value an array?
+  // Delegates to ECMA5's native Array.isArray
+  _.isArray = nativeIsArray || function(obj) {
+    return toString.call(obj) == '[object Array]';
+  };
+
+  // Is a given variable an object?
+  _.isObject = function(obj) {
+    return obj === Object(obj);
+  };
+
+  // Is a given variable an arguments object?
+  _.isArguments = function(obj) {
+    return toString.call(obj) == '[object Arguments]';
+  };
+  if (!_.isArguments(arguments)) {
+    _.isArguments = function(obj) {
+      return !!(obj && _.has(obj, 'callee'));
+    };
+  }
+
+  // Is a given value a function?
+  _.isFunction = function(obj) {
+    return toString.call(obj) == '[object Function]';
+  };
+
+  // Is a given value a string?
+  _.isString = function(obj) {
+    return toString.call(obj) == '[object String]';
+  };
+
+  // Is a given value a number?
+  _.isNumber = function(obj) {
+    return toString.call(obj) == '[object Number]';
+  };
+
+  // Is the given value `NaN`?
+  _.isNaN = function(obj) {
+    // `NaN` is the only value for which `===` is not reflexive.
+    return obj !== obj;
+  };
+
+  // Is a given value a boolean?
+  _.isBoolean = function(obj) {
+    return obj === true || obj === false || toString.call(obj) == '[object Boolean]';
+  };
+
+  // Is a given value a date?
+  _.isDate = function(obj) {
+    return toString.call(obj) == '[object Date]';
+  };
+
+  // Is the given value a regular expression?
+  _.isRegExp = function(obj) {
+    return toString.call(obj) == '[object RegExp]';
+  };
+
+  // Is a given value equal to null?
+  _.isNull = function(obj) {
+    return obj === null;
+  };
+
+  // Is a given variable undefined?
+  _.isUndefined = function(obj) {
+    return obj === void 0;
+  };
+
+  // Has own property?
+  _.has = function(obj, key) {
+    return hasOwnProperty.call(obj, key);
+  };
+
+  // Utility Functions
+  // -----------------
+
+  // Run Underscore.js in *noConflict* mode, returning the `_` variable to its
+  // previous owner. Returns a reference to the Underscore object.
+  _.noConflict = function() {
+    root._ = previousUnderscore;
+    return this;
+  };
+
+  // Keep the identity function around for default iterators.
+  _.identity = function(value) {
+    return value;
+  };
+
+  // Run a function **n** times.
+  _.times = function (n, iterator, context) {
+    for (var i = 0; i < n; i++) iterator.call(context, i);
+  };
+
+  // Escape a string for HTML interpolation.
+  _.escape = function(string) {
+    return (''+string).replace(/&/g, '&amp;').replace(/</g, '&lt;').replace(/>/g, '&gt;').replace(/"/g, '&quot;').replace(/'/g, '&#x27;').replace(/\//g,'&#x2F;');
+  };
+
+  // Add your own custom functions to the Underscore object, ensuring that
+  // they're correctly added to the OOP wrapper as well.
+  _.mixin = function(obj) {
+    each(_.functions(obj), function(name){
+      addToWrapper(name, _[name] = obj[name]);
+    });
+  };
+
+  // Generate a unique integer id (unique within the entire client session).
+  // Useful for temporary DOM ids.
+  var idCounter = 0;
+  _.uniqueId = function(prefix) {
+    var id = idCounter++;
+    return prefix ? prefix + id : id;
+  };
+
+  // By default, Underscore uses ERB-style template delimiters, change the
+  // following template settings to use alternative delimiters.
+  _.templateSettings = {
+    evaluate    : /<%([\s\S]+?)%>/g,
+    interpolate : /<%=([\s\S]+?)%>/g,
+    escape      : /<%-([\s\S]+?)%>/g
+  };
+
+  // When customizing `templateSettings`, if you don't want to define an
+  // interpolation, evaluation or escaping regex, we need one that is
+  // guaranteed not to match.
+  var noMatch = /.^/;
+
+  // Within an interpolation, evaluation, or escaping, remove HTML escaping
+  // that had been previously added.
+  var unescape = function(code) {
+    return code.replace(/\\\\/g, '\\').replace(/\\'/g, "'");
+  };
+
+  // JavaScript micro-templating, similar to John Resig's implementation.
+  // Underscore templating handles arbitrary delimiters, preserves whitespace,
+  // and correctly escapes quotes within interpolated code.
+  _.template = function(str, data) {
+    var c  = _.templateSettings;
+    var tmpl = 'var __p=[],print=function(){__p.push.apply(__p,arguments);};' +
+      'with(obj||{}){__p.push(\'' +
+      str.replace(/\\/g, '\\\\')
+         .replace(/'/g, "\\'")
+         .replace(c.escape || noMatch, function(match, code) {
+           return "',_.escape(" + unescape(code) + "),'";
+         })
+         .replace(c.interpolate || noMatch, function(match, code) {
+           return "'," + unescape(code) + ",'";
+         })
+         .replace(c.evaluate || noMatch, function(match, code) {
+           return "');" + unescape(code).replace(/[\r\n\t]/g, ' ') + ";__p.push('";
+         })
+         .replace(/\r/g, '\\r')
+         .replace(/\n/g, '\\n')
+         .replace(/\t/g, '\\t')
+         + "');}return __p.join('');";
+    var func = new Function('obj', '_', tmpl);
+    if (data) return func(data, _);
+    return function(data) {
+      return func.call(this, data, _);
+    };
+  };
+
+  // Add a "chain" function, which will delegate to the wrapper.
+  _.chain = function(obj) {
+    return _(obj).chain();
+  };
+
+  // The OOP Wrapper
+  // ---------------
+
+  // If Underscore is called as a function, it returns a wrapped object that
+  // can be used OO-style. This wrapper holds altered versions of all the
+  // underscore functions. Wrapped objects may be chained.
+  var wrapper = function(obj) { this._wrapped = obj; };
+
+  // Expose `wrapper.prototype` as `_.prototype`
+  _.prototype = wrapper.prototype;
+
+  // Helper function to continue chaining intermediate results.
+  var result = function(obj, chain) {
+    return chain ? _(obj).chain() : obj;
+  };
+
+  // A method to easily add functions to the OOP wrapper.
+  var addToWrapper = function(name, func) {
+    wrapper.prototype[name] = function() {
+      var args = slice.call(arguments);
+      unshift.call(args, this._wrapped);
+      return result(func.apply(_, args), this._chain);
+    };
+  };
+
+  // Add all of the Underscore functions to the wrapper object.
+  _.mixin(_);
+
+  // Add all mutator Array functions to the wrapper.
+  each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) {
+    var method = ArrayProto[name];
+    wrapper.prototype[name] = function() {
+      var wrapped = this._wrapped;
+      method.apply(wrapped, arguments);
+      var length = wrapped.length;
+      if ((name == 'shift' || name == 'splice') && length === 0) delete wrapped[0];
+      return result(wrapped, this._chain);
+    };
+  });
+
+  // Add all accessor Array functions to the wrapper.
+  each(['concat', 'join', 'slice'], function(name) {
+    var method = ArrayProto[name];
+    wrapper.prototype[name] = function() {
+      return result(method.apply(this._wrapped, arguments), this._chain);
+    };
+  });
+
+  // Start chaining a wrapped Underscore object.
+  wrapper.prototype.chain = function() {
+    this._chain = true;
+    return this;
+  };
+
+  // Extracts the result from a wrapped and chained object.
+  wrapper.prototype.value = function() {
+    return this._wrapped;
+  };
+
+}).call(this);
diff --git a/docs/_static/underscore.js b/docs/_static/underscore.js
new file mode 100644
index 0000000..5b55f32
--- /dev/null
+++ b/docs/_static/underscore.js
@@ -0,0 +1,31 @@
+// Underscore.js 1.3.1
+// (c) 2009-2012 Jeremy Ashkenas, DocumentCloud Inc.
+// Underscore is freely distributable under the MIT license.
+// Portions of Underscore are inspired or borrowed from Prototype,
+// Oliver Steele's Functional, and John Resig's Micro-Templating.
+// For all details and documentation:
+// http://documentcloud.github.com/underscore
+(function(){function q(a,c,d){if(a===c)return a!==0||1/a==1/c;if(a==null||c==null)return a===c;if(a._chain)a=a._wrapped;if(c._chain)c=c._wrapped;if(a.isEqual&&b.isFunction(a.isEqual))return a.isEqual(c);if(c.isEqual&&b.isFunction(c.isEqual))return c.isEqual(a);var e=l.call(a);if(e!=l.call(c))return false;switch(e){case "[object String]":return a==String(c);case "[object Number]":return a!=+a?c!=+c:a==0?1/a==1/c:a==+c;case "[object Date]":case "[object Boolean]":return+a==+c;case "[object RegExp]":return a.source==
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+u(b)+"),'"}).replace(d.interpolate||t,function(a,b){return"',"+u(b)+",'"}).replace(d.evaluate||t,function(a,b){return"');"+u(b).replace(/[\r\n\t]/g," ")+";__p.push('"}).replace(/\r/g,"\\r").replace(/\n/g,"\\n").replace(/\t/g,"\\t")+"');}return __p.join('');",e=new Function("obj","_",d);return c?e(c,b):function(a){return e.call(this,a,b)}};b.chain=function(a){return b(a).chain()};var m=function(a){this._wrapped=a};b.prototype=m.prototype;var v=function(a,c){return c?b(a).chain():a},K=function(a,c){m.prototype[a]=
+function(){var a=i.call(arguments);H.call(a,this._wrapped);return v(c.apply(b,a),this._chain)}};b.mixin(b);j("pop,push,reverse,shift,sort,splice,unshift".split(","),function(a){var b=k[a];m.prototype[a]=function(){var d=this._wrapped;b.apply(d,arguments);var e=d.length;(a=="shift"||a=="splice")&&e===0&&delete d[0];return v(d,this._chain)}});j(["concat","join","slice"],function(a){var b=k[a];m.prototype[a]=function(){return v(b.apply(this._wrapped,arguments),this._chain)}});m.prototype.chain=function(){this._chain=
+true;return this};m.prototype.value=function(){return this._wrapped}}).call(this);
diff --git a/docs/auto_examples/index.html b/docs/auto_examples/index.html
new file mode 100644
index 0000000..8c7b4e1
--- /dev/null
+++ b/docs/auto_examples/index.html
@@ -0,0 +1,122 @@
+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>Gallery of Charts &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="../_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="../_static/gallery.css" />
+    <script type="text/javascript" id="documentation_options" data-url_root="../" src="../_static/documentation_options.js"></script>
+    <script type="text/javascript" src="../_static/jquery.js"></script>
+    <script type="text/javascript" src="../_static/underscore.js"></script>
+    <script type="text/javascript" src="../_static/doctools.js"></script>
+    <script type="text/javascript" src="../_static/language_data.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="Bar Chart" href="plot_bar.html" />
+    <link rel="prev" title="Auto Generated Documentation" href="../code.html" />
+   
+  <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+  
+  
+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+  <div class="section" id="gallery-of-charts">
+<span id="sphx-glr-auto-examples"></span><h1>Gallery of Charts<a class="headerlink" href="#gallery-of-charts" title="Permalink to this headline">¶</a></h1>
+<p>Below is a gallery of example charts for each charting function in rick.charts.</p>
+<div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a bar chart. "><div class="figure align-default" id="id1">
+<img alt="../_images/sphx_glr_plot_bar_thumb.png" src="../_images/sphx_glr_plot_bar_thumb.png" />
+<p class="caption"><span class="caption-text"><a class="reference internal" href="plot_bar.html#sphx-glr-auto-examples-plot-bar-py"><span class="std std-ref">Bar Chart</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
+</div>
+</div><div class="toctree-wrapper compound">
+</div>
+<div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a time of week chart. "><div class="figure align-default" id="id2">
+<img alt="../_images/sphx_glr_plot_tow_thumb.png" src="../_images/sphx_glr_plot_tow_thumb.png" />
+<p class="caption"><span class="caption-text"><a class="reference internal" href="plot_tow.html#sphx-glr-auto-examples-plot-tow-py"><span class="std std-ref">Time of Week Chart</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
+</div>
+</div><div class="toctree-wrapper compound">
+</div>
+<div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a stacked bar chart. "><div class="figure align-default" id="id3">
+<img alt="../_images/sphx_glr_plot_stacked_thumb.png" src="../_images/sphx_glr_plot_stacked_thumb.png" />
+<p class="caption"><span class="caption-text"><a class="reference internal" href="plot_stacked.html#sphx-glr-auto-examples-plot-stacked-py"><span class="std std-ref">Stacked Bar Chart</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">¶</a></p>
+</div>
+</div><div class="toctree-wrapper compound">
+</div>
+<div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a chloropleth map. "><div class="figure align-default" id="id4">
+<img alt="../_images/sphx_glr_plot_chloropleth_thumb.png" src="../_images/sphx_glr_plot_chloropleth_thumb.png" />
+<p class="caption"><span class="caption-text"><a class="reference internal" href="plot_chloropleth.html#sphx-glr-auto-examples-plot-chloropleth-py"><span class="std std-ref">Chloropleth Map</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">¶</a></p>
+</div>
+</div><div class="toctree-wrapper compound">
+</div>
+<div class="sphx-glr-thumbcontainer" tooltip="Makes an example of a line chart, with an additional baseline plot and custom formatted x axis...."><div class="figure align-default" id="id5">
+<img alt="../_images/sphx_glr_plot_line_thumb.png" src="../_images/sphx_glr_plot_line_thumb.png" />
+<p class="caption"><span class="caption-text"><a class="reference internal" href="plot_line.html#sphx-glr-auto-examples-plot-line-py"><span class="std std-ref">Line Chart</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">¶</a></p>
+</div>
+</div><div class="toctree-wrapper compound">
+</div>
+<div style='clear:both'></div><div class="sphx-glr-footer class sphx-glr-footer-gallery docutils container">
+<div class="sphx-glr-download docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/31f32a41483cb2a88aa2f260f665b07f/auto_examples_python.zip"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">all</span> <span class="pre">examples</span> <span class="pre">in</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">auto_examples_python.zip</span></code></a></p>
+</div>
+<div class="sphx-glr-download docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/445cbc804a8295cbf474c4d0c1b0e4b7/auto_examples_jupyter.zip"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">all</span> <span class="pre">examples</span> <span class="pre">in</span> <span class="pre">Jupyter</span> <span class="pre">notebooks:</span> <span class="pre">auto_examples_jupyter.zip</span></code></a></p>
+</div>
+</div>
+<p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
+</div>
+
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="../index.html">Documentation overview</a><ul>
+      <li>Previous: <a href="../code.html" title="previous chapter">Auto Generated Documentation</a></li>
+      <li>Next: <a href="plot_bar.html" title="next chapter">Bar Chart</a></li>
+  </ul></li>
+</ul>
+</div>
+<div id="searchbox" style="display: none" role="search">
+  <h3 id="searchlabel">Quick search</h3>
+    <div class="searchformwrapper">
+    <form class="search" action="../search.html" method="get">
+      <input type="text" name="q" aria-labelledby="searchlabel" />
+      <input type="submit" value="Go" />
+    </form>
+    </div>
+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
+        </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="footer">
+      &copy;2019, Rick Liu.
+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+      |
+      <a href="../_sources/auto_examples/index.rst.txt"
+          rel="nofollow">Page source</a>
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/auto_examples/plot_bar.html b/docs/auto_examples/plot_bar.html
new file mode 100644
index 0000000..9e3e73b
--- /dev/null
+++ b/docs/auto_examples/plot_bar.html
@@ -0,0 +1,136 @@
+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>Bar Chart &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="../_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="../_static/gallery.css" />
+    <script type="text/javascript" id="documentation_options" data-url_root="../" src="../_static/documentation_options.js"></script>
+    <script type="text/javascript" src="../_static/jquery.js"></script>
+    <script type="text/javascript" src="../_static/underscore.js"></script>
+    <script type="text/javascript" src="../_static/doctools.js"></script>
+    <script type="text/javascript" src="../_static/language_data.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="Time of Week Chart" href="plot_tow.html" />
+    <link rel="prev" title="Gallery of Charts" href="index.html" />
+   
+  <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+  
+  
+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+  <div class="sphx-glr-download-link-note admonition note">
+<p class="admonition-title">Note</p>
+<p>Click <a class="reference internal" href="#sphx-glr-download-auto-examples-plot-bar-py"><span class="std std-ref">here</span></a> to download the full example code</p>
+</div>
+<div class="sphx-glr-example-title section" id="bar-chart">
+<span id="sphx-glr-auto-examples-plot-bar-py"></span><h1>Bar Chart<a class="headerlink" href="#bar-chart" title="Permalink to this headline">¶</a></h1>
+<p>Makes an example of a bar chart.</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">sqlalchemy</span> <span class="k">import</span> <span class="n">create_engine</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">configparser</span>
+<span class="kn">from</span> <span class="nn">psycopg2</span> <span class="k">import</span> <span class="n">connect</span>
+<span class="kn">import</span> <span class="nn">psycopg2.sql</span> <span class="k">as</span> <span class="nn">pg</span>
+<span class="kn">import</span> <span class="nn">pandas.io.sql</span> <span class="k">as</span> <span class="nn">pandasql</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">datetime</span>
+<span class="kn">import</span> <span class="nn">math</span>
+<span class="kn">import</span> <span class="nn">rick</span>
+<span class="kn">import</span> <span class="nn">geopandas</span> <span class="k">as</span> <span class="nn">gpd</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">shapely</span>
+<span class="kn">from</span> <span class="nn">shapely.geometry</span> <span class="k">import</span> <span class="n">Point</span>
+<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">&quot;PROJ_LIB&quot;</span><span class="p">]</span><span class="o">=</span><span class="sa">r</span><span class="s2">&quot;C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share&quot;</span>
+<span class="kn">import</span> <span class="nn">importlib</span>
+<span class="kn">import</span> <span class="nn">matplotlib.ticker</span> <span class="k">as</span> <span class="nn">ticker</span>
+<span class="kn">import</span> <span class="nn">matplotlib.font_manager</span> <span class="k">as</span> <span class="nn">font_manager</span>
+</pre></div>
+</div>
+<div class="section" id="data-collection">
+<h2>Data Collection<a class="headerlink" href="#data-collection" title="Permalink to this headline">¶</a></h2>
+<p>This creates a test dataframe to use</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">pass_data</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;cat&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;PTC&#39;</span><span class="p">,</span><span class="s1">&#39;Taxi&#39;</span><span class="p">,</span>  <span class="s1">&#39;Trip Making Population&#39;</span><span class="p">],</span>
+        <span class="s1">&#39;TTC Pass&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">22</span><span class="p">,</span><span class="mi">16</span><span class="p">,</span><span class="mi">16</span><span class="p">],</span>
+        <span class="p">}</span>
+
+<span class="n">transit_pass</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">pass_data</span><span class="p">,</span><span class="n">columns</span><span class="o">=</span> <span class="p">[</span><span class="s1">&#39;cat&#39;</span><span class="p">,</span> <span class="s1">&#39;TTC Pass&#39;</span><span class="p">])</span>
+<span class="n">transit_pass</span>  <span class="o">=</span> <span class="n">transit_pass</span> <span class="o">.</span><span class="n">reindex</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="n">transit_pass</span> <span class="o">.</span><span class="n">index</span><span class="p">[::</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">rick</span><span class="o">.</span><span class="n">charts</span><span class="o">.</span><span class="n">bar_chart</span><span class="p">(</span><span class="n">transit_pass</span><span class="p">,</span> <span class="n">xlab</span><span class="o">=</span><span class="s1">&#39;Trips&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+<img alt="../_images/sphx_glr_plot_bar_001.png" class="sphx-glr-single-img" src="../_images/sphx_glr_plot_bar_001.png" />
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  27.838 seconds)</p>
+<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-bar-py">
+<div class="sphx-glr-download docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/995c7f269ee840d69de9ff09442efe38/plot_bar.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_bar.py</span></code></a></p>
+</div>
+<div class="sphx-glr-download docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/843c61231a396b66e17c11e1b2c89e18/plot_bar.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_bar.ipynb</span></code></a></p>
+</div>
+</div>
+<p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
+</div>
+</div>
+
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="../index.html">Documentation overview</a><ul>
+  <li><a href="index.html">Gallery of Charts</a><ul>
+      <li>Previous: <a href="index.html" title="previous chapter">Gallery of Charts</a></li>
+      <li>Next: <a href="plot_tow.html" title="next chapter">Time of Week Chart</a></li>
+  </ul></li>
+  </ul></li>
+</ul>
+</div>
+<div id="searchbox" style="display: none" role="search">
+  <h3 id="searchlabel">Quick search</h3>
+    <div class="searchformwrapper">
+    <form class="search" action="../search.html" method="get">
+      <input type="text" name="q" aria-labelledby="searchlabel" />
+      <input type="submit" value="Go" />
+    </form>
+    </div>
+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
+        </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="footer">
+      &copy;2019, Rick Liu.
+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+      |
+      <a href="../_sources/auto_examples/plot_bar.rst.txt"
+          rel="nofollow">Page source</a>
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/auto_examples/plot_chloropleth.html b/docs/auto_examples/plot_chloropleth.html
new file mode 100644
index 0000000..09c0831
--- /dev/null
+++ b/docs/auto_examples/plot_chloropleth.html
@@ -0,0 +1,176 @@
+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>Chloropleth Map &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="../_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="../_static/gallery.css" />
+    <script type="text/javascript" id="documentation_options" data-url_root="../" src="../_static/documentation_options.js"></script>
+    <script type="text/javascript" src="../_static/jquery.js"></script>
+    <script type="text/javascript" src="../_static/underscore.js"></script>
+    <script type="text/javascript" src="../_static/doctools.js"></script>
+    <script type="text/javascript" src="../_static/language_data.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="Line Chart" href="plot_line.html" />
+    <link rel="prev" title="Stacked Bar Chart" href="plot_stacked.html" />
+   
+  <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+  
+  
+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+  <div class="sphx-glr-download-link-note admonition note">
+<p class="admonition-title">Note</p>
+<p>Click <a class="reference internal" href="#sphx-glr-download-auto-examples-plot-chloropleth-py"><span class="std std-ref">here</span></a> to download the full example code</p>
+</div>
+<div class="sphx-glr-example-title section" id="chloropleth-map">
+<span id="sphx-glr-auto-examples-plot-chloropleth-py"></span><h1>Chloropleth Map<a class="headerlink" href="#chloropleth-map" title="Permalink to this headline">¶</a></h1>
+<p>Makes an example of a chloropleth map.</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">sqlalchemy</span> <span class="k">import</span> <span class="n">create_engine</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">configparser</span>
+<span class="kn">from</span> <span class="nn">psycopg2</span> <span class="k">import</span> <span class="n">connect</span>
+<span class="kn">import</span> <span class="nn">psycopg2.sql</span> <span class="k">as</span> <span class="nn">pg</span>
+<span class="kn">import</span> <span class="nn">pandas.io.sql</span> <span class="k">as</span> <span class="nn">pandasql</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">datetime</span>
+<span class="kn">import</span> <span class="nn">math</span>
+<span class="kn">import</span> <span class="nn">rick</span>
+<span class="kn">import</span> <span class="nn">geopandas</span> <span class="k">as</span> <span class="nn">gpd</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">shapely</span>
+<span class="kn">from</span> <span class="nn">shapely.geometry</span> <span class="k">import</span> <span class="n">Point</span>
+<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">&quot;PROJ_LIB&quot;</span><span class="p">]</span><span class="o">=</span><span class="sa">r</span><span class="s2">&quot;C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share&quot;</span>
+<span class="kn">import</span> <span class="nn">importlib</span>
+<span class="kn">import</span> <span class="nn">matplotlib.ticker</span> <span class="k">as</span> <span class="nn">ticker</span>
+<span class="kn">import</span> <span class="nn">matplotlib.font_manager</span> <span class="k">as</span> <span class="nn">font_manager</span>
+<span class="n">CONFIG</span> <span class="o">=</span> <span class="n">configparser</span><span class="o">.</span><span class="n">ConfigParser</span><span class="p">()</span>
+<span class="n">CONFIG</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;C:\Users\rliu4\Documents\Python\config.cfg&#39;</span><span class="p">)</span>
+<span class="n">dbset</span> <span class="o">=</span> <span class="n">CONFIG</span><span class="p">[</span><span class="s1">&#39;DBSETTINGS&#39;</span><span class="p">]</span>
+<span class="n">con</span> <span class="o">=</span> <span class="n">connect</span><span class="p">(</span><span class="o">**</span><span class="n">dbset</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="section" id="data-collection">
+<h2>Data Collection<a class="headerlink" href="#data-collection" title="Permalink to this headline">¶</a></h2>
+<p>This Section grabs and formats the data.</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">query</span> <span class="o">=</span> <span class="s1">&#39;&#39;&#39;</span>
+
+<span class="s1">WITH sum AS (</span>
+<span class="s1">SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood,</span>
+<span class="s1">sum(count) as count  FROM ptc.trip_data_agg_neighbourhood</span>
+<span class="s1">GROUP BY   pickup_datetime, pickup_neighbourhood</span>
+
+<span class="s1">), ward1 AS  (</span>
+
+<span class="s1">SELECT  avg(count) as count, pickup_neighbourhood from sum</span>
+<span class="s1">WHERE (yr=2018 AND mon IN (9))</span>
+<span class="s1">GROUP BY pickup_neighbourhood</span>
+<span class="s1">ORDER BY count</span>
+<span class="s1">), ward2 AS  (</span>
+
+<span class="s1">SELECT avg(count) as count, pickup_neighbourhood from sum</span>
+<span class="s1">WHERE (yr=2016 AND mon IN (10))</span>
+<span class="s1">GROUP BY pickup_neighbourhood</span>
+<span class="s1">ORDER BY count</span>
+<span class="s1">)</span>
+
+<span class="s1">SELECT pickup_neighbourhood,  geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a</span>
+<span class="s1">LEFT JOIN ward1 b USING ( pickup_neighbourhood)</span>
+<span class="s1">LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood</span>
+
+<span class="s1">&#39;&#39;&#39;</span>
+</pre></div>
+</div>
+<p>Rotates data 17 degrees to orient Toronto perpendicularly</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="n">gpd</span><span class="o">.</span><span class="n">GeoDataFrame</span><span class="o">.</span><span class="n">from_postgis</span><span class="p">(</span><span class="n">query</span><span class="p">,</span> <span class="n">con</span><span class="p">,</span> <span class="n">geom_col</span><span class="o">=</span><span class="s1">&#39;geom&#39;</span><span class="p">)</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">to_crs</span><span class="p">({</span><span class="s1">&#39;init&#39;</span> <span class="p">:</span><span class="s1">&#39;epsg:3857&#39;</span><span class="p">})</span>
+
+<span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">data</span><span class="o">.</span><span class="n">iterrows</span><span class="p">():</span>
+    <span class="n">rotated</span> <span class="o">=</span> <span class="n">shapely</span><span class="o">.</span><span class="n">affinity</span><span class="o">.</span><span class="n">rotate</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;geom&#39;</span><span class="p">],</span> <span class="n">angle</span><span class="o">=-</span><span class="mi">17</span><span class="p">,</span> <span class="n">origin</span> <span class="o">=</span> <span class="n">Point</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
+    <span class="n">data</span><span class="o">.</span><span class="n">at</span><span class="p">[</span><span class="n">index</span><span class="p">,</span> <span class="s1">&#39;geom&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">rotated</span>
+</pre></div>
+</div>
+<p>The function only needs these columns, in this order</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">[[</span><span class="s1">&#39;geom&#39;</span><span class="p">,</span> <span class="s1">&#39;growth&#39;</span><span class="p">]]</span>
+</pre></div>
+</div>
+<p>Calls the Function</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">rick</span><span class="o">.</span><span class="n">charts</span><span class="o">.</span><span class="n">chloro_map</span><span class="p">(</span><span class="n">con</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">subway</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">lower</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="n">upper</span> <span class="o">=</span> <span class="mi">300</span><span class="p">,</span> <span class="n">title</span> <span class="o">=</span> <span class="s1">&#39;Growth in Trips&#39;</span><span class="p">,</span>
+                                       <span class="n">island</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>  <span class="n">unit</span> <span class="o">=</span> <span class="s1">&#39;%&#39;</span><span class="p">,</span> <span class="n">nbins</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
+</pre></div>
+</div>
+<img alt="../_images/sphx_glr_plot_chloropleth_001.png" class="sphx-glr-single-img" src="../_images/sphx_glr_plot_chloropleth_001.png" />
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  18.050 seconds)</p>
+<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-chloropleth-py">
+<div class="sphx-glr-download docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/4ac604494bc2591bf2516ad6b2550a56/plot_chloropleth.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_chloropleth.py</span></code></a></p>
+</div>
+<div class="sphx-glr-download docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/be9952544ac3b41f0ea2f1580b7d53bf/plot_chloropleth.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_chloropleth.ipynb</span></code></a></p>
+</div>
+</div>
+<p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
+</div>
+</div>
+
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="../index.html">Documentation overview</a><ul>
+  <li><a href="index.html">Gallery of Charts</a><ul>
+      <li>Previous: <a href="plot_stacked.html" title="previous chapter">Stacked Bar Chart</a></li>
+      <li>Next: <a href="plot_line.html" title="next chapter">Line Chart</a></li>
+  </ul></li>
+  </ul></li>
+</ul>
+</div>
+<div id="searchbox" style="display: none" role="search">
+  <h3 id="searchlabel">Quick search</h3>
+    <div class="searchformwrapper">
+    <form class="search" action="../search.html" method="get">
+      <input type="text" name="q" aria-labelledby="searchlabel" />
+      <input type="submit" value="Go" />
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+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
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+    </div>
+    <div class="footer">
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+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+      |
+      <a href="../_sources/auto_examples/plot_chloropleth.rst.txt"
+          rel="nofollow">Page source</a>
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/auto_examples/plot_line.html b/docs/auto_examples/plot_line.html
new file mode 100644
index 0000000..e50e557
--- /dev/null
+++ b/docs/auto_examples/plot_line.html
@@ -0,0 +1,198 @@
+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>Line Chart &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="../_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="../_static/gallery.css" />
+    <script type="text/javascript" id="documentation_options" data-url_root="../" src="../_static/documentation_options.js"></script>
+    <script type="text/javascript" src="../_static/jquery.js"></script>
+    <script type="text/javascript" src="../_static/underscore.js"></script>
+    <script type="text/javascript" src="../_static/doctools.js"></script>
+    <script type="text/javascript" src="../_static/language_data.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="prev" title="Chloropleth Map" href="plot_chloropleth.html" />
+   
+  <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+  
+  
+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+  <div class="sphx-glr-download-link-note admonition note">
+<p class="admonition-title">Note</p>
+<p>Click <a class="reference internal" href="#sphx-glr-download-auto-examples-plot-line-py"><span class="std std-ref">here</span></a> to download the full example code</p>
+</div>
+<div class="sphx-glr-example-title section" id="line-chart">
+<span id="sphx-glr-auto-examples-plot-line-py"></span><h1>Line Chart<a class="headerlink" href="#line-chart" title="Permalink to this headline">¶</a></h1>
+<p>Makes an example of a line chart, with an additional baseline plot and custom formatted x axis.</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">sqlalchemy</span> <span class="k">import</span> <span class="n">create_engine</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">configparser</span>
+<span class="kn">from</span> <span class="nn">psycopg2</span> <span class="k">import</span> <span class="n">connect</span>
+<span class="kn">import</span> <span class="nn">psycopg2.sql</span> <span class="k">as</span> <span class="nn">pg</span>
+<span class="kn">import</span> <span class="nn">pandas.io.sql</span> <span class="k">as</span> <span class="nn">pandasql</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">datetime</span>
+<span class="kn">import</span> <span class="nn">math</span>
+<span class="kn">import</span> <span class="nn">rick</span>
+<span class="kn">import</span> <span class="nn">geopandas</span> <span class="k">as</span> <span class="nn">gpd</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">shapely</span>
+<span class="kn">from</span> <span class="nn">shapely.geometry</span> <span class="k">import</span> <span class="n">Point</span>
+<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">&quot;PROJ_LIB&quot;</span><span class="p">]</span><span class="o">=</span><span class="sa">r</span><span class="s2">&quot;C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share&quot;</span>
+<span class="kn">import</span> <span class="nn">importlib</span>
+<span class="kn">import</span> <span class="nn">matplotlib.ticker</span> <span class="k">as</span> <span class="nn">ticker</span>
+<span class="kn">import</span> <span class="nn">matplotlib.font_manager</span> <span class="k">as</span> <span class="nn">font_manager</span>
+
+
+<span class="n">CONFIG</span> <span class="o">=</span> <span class="n">configparser</span><span class="o">.</span><span class="n">ConfigParser</span><span class="p">()</span>
+<span class="n">CONFIG</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;C:\Users\rliu4\Documents\Python\config.cfg&#39;</span><span class="p">)</span>
+<span class="n">dbset</span> <span class="o">=</span> <span class="n">CONFIG</span><span class="p">[</span><span class="s1">&#39;DBSETTINGS&#39;</span><span class="p">]</span>
+<span class="n">con</span> <span class="o">=</span> <span class="n">connect</span><span class="p">(</span><span class="o">**</span><span class="n">dbset</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="section" id="data-collection">
+<h2>Data Collection<a class="headerlink" href="#data-collection" title="Permalink to this headline">¶</a></h2>
+<p>This Section grabs and formats the data.</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">query</span><span class="o">=</span><span class="s1">&#39;&#39;&#39;</span>
+<span class="s1">WITH daily_ave AS (</span>
+
+<span class="s1">SELECT * FROM ptc.daily_trips</span>
+<span class="s1">), total AS  (</span>
+<span class="s1">SELECT  extract(month from pickup_datetime) as mon,</span>
+<span class="s1">extract(year from pickup_datetime) as yr,</span>
+
+<span class="s1">CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321</span>
+<span class="s1">WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE</span>
+<span class="s1">avg(count)::integer END as count FROM daily_ave</span>
+<span class="s1">GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)</span>
+<span class="s1">ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)</span>
+<span class="s1">)</span>
+
+
+<span class="s1">SELECT</span>
+<span class="s1">CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, &#39;MM&#39;), &#39;Mon&#39;)||&#39; &#39;||yr::text</span>
+<span class="s1">WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, &#39;MM&#39;), &#39;Mon&#39;)||&#39; &#39;||yr::text</span>
+<span class="s1">ELSE to_char(to_timestamp (mon::text, &#39;MM&#39;), &#39;Mon&#39;)</span>
+<span class="s1">END AS period,</span>
+<span class="s1">count FROM total</span>
+<span class="s1">&#39;&#39;&#39;</span>
+<span class="n">total</span><span class="o">=</span><span class="n">pandasql</span><span class="o">.</span><span class="n">read_sql</span><span class="p">(</span><span class="n">query</span><span class="p">,</span> <span class="n">con</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>Gets the baseline data (to be graphed in grey)</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">query</span><span class="o">=</span><span class="s1">&#39;&#39;&#39;</span>
+<span class="s1">WITH daily_ave AS (</span>
+
+<span class="s1">SELECT * FROM ptc.daily_trips</span>
+<span class="s1">), total AS  (</span>
+<span class="s1">SELECT  extract(month from pickup_datetime) as mon,</span>
+<span class="s1">extract(year from pickup_datetime) as yr,</span>
+
+<span class="s1">CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321</span>
+<span class="s1">WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE</span>
+<span class="s1">avg(count)::integer END as count FROM daily_ave</span>
+<span class="s1">GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)</span>
+<span class="s1">ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)</span>
+<span class="s1">)</span>
+
+
+<span class="s1">SELECT</span>
+<span class="s1">CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, &#39;MM&#39;), &#39;Mon&#39;)||&#39; &#39;||yr::text</span>
+<span class="s1">WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, &#39;MM&#39;), &#39;Mon&#39;)||&#39; &#39;||yr::text</span>
+<span class="s1">ELSE to_char(to_timestamp (mon::text, &#39;MM&#39;), &#39;Mon&#39;)</span>
+<span class="s1">END AS period,</span>
+<span class="s1">count/2 as count FROM total</span>
+<span class="s1">&#39;&#39;&#39;</span>
+<span class="n">total2</span><span class="o">=</span><span class="n">pandasql</span><span class="o">.</span><span class="n">read_sql</span><span class="p">(</span><span class="n">query</span><span class="p">,</span> <span class="n">con</span><span class="p">)</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">props</span> <span class="o">=</span> <span class="n">rick</span><span class="o">.</span><span class="n">charts</span><span class="o">.</span><span class="n">line_chart</span><span class="p">(</span><span class="n">total</span><span class="p">[</span><span class="s1">&#39;count&#39;</span><span class="p">],</span> <span class="s1">&#39;Trips&#39;</span><span class="p">,</span> <span class="s1">&#39;Time&#39;</span><span class="p">,</span> <span class="n">baseline</span> <span class="o">=</span> <span class="n">total2</span><span class="p">[</span><span class="s1">&#39;count&#39;</span><span class="p">])</span>
+</pre></div>
+</div>
+<img alt="../_images/sphx_glr_plot_line_001.png" class="sphx-glr-single-img" src="../_images/sphx_glr_plot_line_001.png" />
+<p>Adds annotations</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.94</span><span class="p">,</span> <span class="mf">0.96</span><span class="p">,</span> <span class="s1">&#39;176,000&#39;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span> <span class="n">wrap</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">9</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="s1">&#39;Libre Franklin&#39;</span><span class="p">,</span>
+         <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;top&#39;</span><span class="p">,</span> <span class="n">ha</span> <span class="o">=</span> <span class="s1">&#39;center&#39;</span><span class="p">,</span> <span class="n">bbox</span><span class="o">=</span><span class="n">props</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">&#39;#660159&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>Adds custom x axis</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">month_lst2</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Sept</span><span class="se">\n</span><span class="s1">2016&#39;</span><span class="p">,</span>  <span class="s1">&#39;Jan</span><span class="se">\n</span><span class="s1">2017&#39;</span><span class="p">,</span>  <span class="s1">&#39;May&#39;</span><span class="p">,</span>  <span class="s1">&#39;Sept&#39;</span><span class="p">,</span>
+               <span class="s1">&#39;Jan</span><span class="se">\n</span><span class="s1">2018&#39;</span><span class="p">,</span> <span class="s1">&#39;May&#39;</span><span class="p">,</span>  <span class="s1">&#39;Sept&#39;</span><span class="p">,</span>
+              <span class="s1">&#39;Jan</span><span class="se">\n</span><span class="s1">2019&#39;</span><span class="p">,</span><span class="s1">&#39;May&#39;</span><span class="p">,]</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mi">35</span><span class="p">,</span><span class="mi">4</span><span class="p">),</span> <span class="n">month_lst2</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">9</span><span class="p">,</span> <span class="n">fontname</span> <span class="o">=</span> <span class="s1">&#39;Libre Franklin&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+<img alt="../_images/sphx_glr_plot_line_002.png" class="sphx-glr-single-img" src="../_images/sphx_glr_plot_line_002.png" />
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.126 seconds)</p>
+<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-line-py">
+<div class="sphx-glr-download docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/21be591842209cda4c2f74d548884a33/plot_line.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_line.py</span></code></a></p>
+</div>
+<div class="sphx-glr-download docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/cc961dc436f413969336b8bd7f359ab4/plot_line.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_line.ipynb</span></code></a></p>
+</div>
+</div>
+<p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
+</div>
+</div>
+
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="../index.html">Documentation overview</a><ul>
+  <li><a href="index.html">Gallery of Charts</a><ul>
+      <li>Previous: <a href="plot_chloropleth.html" title="previous chapter">Chloropleth Map</a></li>
+  </ul></li>
+  </ul></li>
+</ul>
+</div>
+<div id="searchbox" style="display: none" role="search">
+  <h3 id="searchlabel">Quick search</h3>
+    <div class="searchformwrapper">
+    <form class="search" action="../search.html" method="get">
+      <input type="text" name="q" aria-labelledby="searchlabel" />
+      <input type="submit" value="Go" />
+    </form>
+    </div>
+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
+        </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="footer">
+      &copy;2019, Rick Liu.
+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+      |
+      <a href="../_sources/auto_examples/plot_line.rst.txt"
+          rel="nofollow">Page source</a>
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/auto_examples/plot_stacked.html b/docs/auto_examples/plot_stacked.html
new file mode 100644
index 0000000..8bac52b
--- /dev/null
+++ b/docs/auto_examples/plot_stacked.html
@@ -0,0 +1,167 @@
+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>Stacked Bar Chart &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="../_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="../_static/gallery.css" />
+    <script type="text/javascript" id="documentation_options" data-url_root="../" src="../_static/documentation_options.js"></script>
+    <script type="text/javascript" src="../_static/jquery.js"></script>
+    <script type="text/javascript" src="../_static/underscore.js"></script>
+    <script type="text/javascript" src="../_static/doctools.js"></script>
+    <script type="text/javascript" src="../_static/language_data.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="Chloropleth Map" href="plot_chloropleth.html" />
+    <link rel="prev" title="Time of Week Chart" href="plot_tow.html" />
+   
+  <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+  
+  
+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+  <div class="sphx-glr-download-link-note admonition note">
+<p class="admonition-title">Note</p>
+<p>Click <a class="reference internal" href="#sphx-glr-download-auto-examples-plot-stacked-py"><span class="std std-ref">here</span></a> to download the full example code</p>
+</div>
+<div class="sphx-glr-example-title section" id="stacked-bar-chart">
+<span id="sphx-glr-auto-examples-plot-stacked-py"></span><h1>Stacked Bar Chart<a class="headerlink" href="#stacked-bar-chart" title="Permalink to this headline">¶</a></h1>
+<p>Makes an example of a stacked bar chart.</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">sqlalchemy</span> <span class="k">import</span> <span class="n">create_engine</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">configparser</span>
+<span class="kn">from</span> <span class="nn">psycopg2</span> <span class="k">import</span> <span class="n">connect</span>
+<span class="kn">import</span> <span class="nn">psycopg2.sql</span> <span class="k">as</span> <span class="nn">pg</span>
+<span class="kn">import</span> <span class="nn">pandas.io.sql</span> <span class="k">as</span> <span class="nn">pandasql</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">datetime</span>
+<span class="kn">import</span> <span class="nn">math</span>
+<span class="kn">import</span> <span class="nn">rick</span>
+<span class="kn">import</span> <span class="nn">geopandas</span> <span class="k">as</span> <span class="nn">gpd</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">shapely</span>
+<span class="kn">from</span> <span class="nn">shapely.geometry</span> <span class="k">import</span> <span class="n">Point</span>
+<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">&quot;PROJ_LIB&quot;</span><span class="p">]</span><span class="o">=</span><span class="sa">r</span><span class="s2">&quot;C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share&quot;</span>
+<span class="kn">import</span> <span class="nn">importlib</span>
+<span class="kn">import</span> <span class="nn">matplotlib.ticker</span> <span class="k">as</span> <span class="nn">ticker</span>
+<span class="kn">import</span> <span class="nn">matplotlib.font_manager</span> <span class="k">as</span> <span class="nn">font_manager</span>
+
+
+<span class="n">CONFIG</span> <span class="o">=</span> <span class="n">configparser</span><span class="o">.</span><span class="n">ConfigParser</span><span class="p">()</span>
+<span class="n">CONFIG</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;C:\Users\rliu4\Documents\Python\config.cfg&#39;</span><span class="p">)</span>
+<span class="n">dbset</span> <span class="o">=</span> <span class="n">CONFIG</span><span class="p">[</span><span class="s1">&#39;DBSETTINGS&#39;</span><span class="p">]</span>
+<span class="n">con</span> <span class="o">=</span> <span class="n">connect</span><span class="p">(</span><span class="o">**</span><span class="n">dbset</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="section" id="data-collection">
+<h2>Data Collection<a class="headerlink" href="#data-collection" title="Permalink to this headline">¶</a></h2>
+<p>This Section grabs and formats the data.</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">query</span> <span class="o">=</span> <span class="s1">&#39;&#39;&#39;</span>
+
+<span class="s1">WITH sum AS (</span>
+
+<span class="s1">SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25</span>
+<span class="s1">LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short</span>
+
+<span class="s1">WHERE pickup_datetime &gt; &#39;2016-09-30&#39;</span>
+<span class="s1">GROUP BY pickup_datetime, area_name</span>
+<span class="s1">), collect AS (</span>
+<span class="s1">SELECT area_name, avg(count) as count, mon, yr from sum</span>
+<span class="s1">group by area_name,  mon, yr)</span>
+
+<span class="s1">,tot1 AS (</span>
+
+<span class="s1">SELECT area_name, avg(count) as count FROM collect</span>
+<span class="s1">WHERE (yr =2016 AND mon IN (10))</span>
+<span class="s1">GROUP BY area_name</span>
+<span class="s1">), tot2 AS (</span>
+
+<span class="s1">SELECT area_name, avg(count) as count FROM collect</span>
+<span class="s1">WHERE (yr =2018 AND mon IN (9))</span>
+<span class="s1">GROUP BY area_name</span>
+<span class="s1">)</span>
+<span class="s1">SELECT SPLIT_PART(area_name, &#39;Community&#39;, 1) as area_name,</span>
+<span class="s1">b.count as count1, a.count as count2 FROM tot1 b</span>
+<span class="s1">LEFT JOIN tot2 a USING (area_name)</span>
+<span class="s1">ORDER BY count1 ASC</span>
+<span class="s1">&#39;&#39;&#39;</span>
+
+<span class="n">district_cond</span> <span class="o">=</span> <span class="n">pandasql</span><span class="o">.</span><span class="n">read_sql</span><span class="p">(</span><span class="n">query</span><span class="p">,</span> <span class="n">con</span><span class="p">)</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">rick</span><span class="o">.</span><span class="n">charts</span><span class="o">.</span><span class="n">stacked_chart</span><span class="p">(</span><span class="n">district_cond</span><span class="p">,</span> <span class="n">xlab</span> <span class="o">=</span> <span class="s1">&#39;Trips&#39;</span><span class="p">,</span> <span class="n">lab1</span> <span class="o">=</span> <span class="s1">&#39;2016&#39;</span><span class="p">,</span> <span class="n">lab2</span> <span class="o">=</span> <span class="s1">&#39;2018&#39;</span><span class="p">,</span> <span class="n">percent</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+<img alt="../_images/sphx_glr_plot_stacked_001.png" class="sphx-glr-single-img" src="../_images/sphx_glr_plot_stacked_001.png" />
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.557 seconds)</p>
+<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-stacked-py">
+<div class="sphx-glr-download docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/e0de26bd19cb293b54b1f9747d9c4ad5/plot_stacked.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_stacked.py</span></code></a></p>
+</div>
+<div class="sphx-glr-download docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_stacked.ipynb</span></code></a></p>
+</div>
+</div>
+<p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
+</div>
+</div>
+
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="../index.html">Documentation overview</a><ul>
+  <li><a href="index.html">Gallery of Charts</a><ul>
+      <li>Previous: <a href="plot_tow.html" title="previous chapter">Time of Week Chart</a></li>
+      <li>Next: <a href="plot_chloropleth.html" title="next chapter">Chloropleth Map</a></li>
+  </ul></li>
+  </ul></li>
+</ul>
+</div>
+<div id="searchbox" style="display: none" role="search">
+  <h3 id="searchlabel">Quick search</h3>
+    <div class="searchformwrapper">
+    <form class="search" action="../search.html" method="get">
+      <input type="text" name="q" aria-labelledby="searchlabel" />
+      <input type="submit" value="Go" />
+    </form>
+    </div>
+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
+        </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="footer">
+      &copy;2019, Rick Liu.
+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+      |
+      <a href="../_sources/auto_examples/plot_stacked.rst.txt"
+          rel="nofollow">Page source</a>
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/auto_examples/plot_tow.html b/docs/auto_examples/plot_tow.html
new file mode 100644
index 0000000..c689dc2
--- /dev/null
+++ b/docs/auto_examples/plot_tow.html
@@ -0,0 +1,161 @@
+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>Time of Week Chart &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="../_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="../_static/gallery.css" />
+    <script type="text/javascript" id="documentation_options" data-url_root="../" src="../_static/documentation_options.js"></script>
+    <script type="text/javascript" src="../_static/jquery.js"></script>
+    <script type="text/javascript" src="../_static/underscore.js"></script>
+    <script type="text/javascript" src="../_static/doctools.js"></script>
+    <script type="text/javascript" src="../_static/language_data.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="Stacked Bar Chart" href="plot_stacked.html" />
+    <link rel="prev" title="Bar Chart" href="plot_bar.html" />
+   
+  <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+  
+  
+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+  <div class="sphx-glr-download-link-note admonition note">
+<p class="admonition-title">Note</p>
+<p>Click <a class="reference internal" href="#sphx-glr-download-auto-examples-plot-tow-py"><span class="std std-ref">here</span></a> to download the full example code</p>
+</div>
+<div class="sphx-glr-example-title section" id="time-of-week-chart">
+<span id="sphx-glr-auto-examples-plot-tow-py"></span><h1>Time of Week Chart<a class="headerlink" href="#time-of-week-chart" title="Permalink to this headline">¶</a></h1>
+<p>Makes an example of a time of week chart.</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">sqlalchemy</span> <span class="k">import</span> <span class="n">create_engine</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">configparser</span>
+<span class="kn">from</span> <span class="nn">psycopg2</span> <span class="k">import</span> <span class="n">connect</span>
+<span class="kn">import</span> <span class="nn">psycopg2.sql</span> <span class="k">as</span> <span class="nn">pg</span>
+<span class="kn">import</span> <span class="nn">pandas.io.sql</span> <span class="k">as</span> <span class="nn">pandasql</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">datetime</span>
+<span class="kn">import</span> <span class="nn">math</span>
+<span class="kn">import</span> <span class="nn">rick</span>
+<span class="kn">import</span> <span class="nn">geopandas</span> <span class="k">as</span> <span class="nn">gpd</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">shapely</span>
+<span class="kn">from</span> <span class="nn">shapely.geometry</span> <span class="k">import</span> <span class="n">Point</span>
+<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">&quot;PROJ_LIB&quot;</span><span class="p">]</span><span class="o">=</span><span class="sa">r</span><span class="s2">&quot;C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share&quot;</span>
+<span class="kn">import</span> <span class="nn">importlib</span>
+<span class="kn">import</span> <span class="nn">matplotlib.ticker</span> <span class="k">as</span> <span class="nn">ticker</span>
+<span class="kn">import</span> <span class="nn">matplotlib.font_manager</span> <span class="k">as</span> <span class="nn">font_manager</span>
+
+
+<span class="n">CONFIG</span> <span class="o">=</span> <span class="n">configparser</span><span class="o">.</span><span class="n">ConfigParser</span><span class="p">()</span>
+<span class="n">CONFIG</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;C:\Users\rliu4\Documents\Python\config.cfg&#39;</span><span class="p">)</span>
+<span class="n">dbset</span> <span class="o">=</span> <span class="n">CONFIG</span><span class="p">[</span><span class="s1">&#39;DBSETTINGS&#39;</span><span class="p">]</span>
+<span class="n">con</span> <span class="o">=</span> <span class="n">connect</span><span class="p">(</span><span class="o">**</span><span class="n">dbset</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="section" id="data-collection">
+<h2>Data Collection<a class="headerlink" href="#data-collection" title="Permalink to this headline">¶</a></h2>
+<p>This Section grabs and formats the data.</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">query</span> <span class="o">=</span> <span class="s1">&#39;&#39;&#39;</span>
+
+<span class="s1">WITH sum AS (</span>
+
+<span class="s1">SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,</span>
+<span class="s1">extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25</span>
+
+
+<span class="s1">WHERE pickup_datetime &gt; &#39;2018-08-31&#39;</span>
+<span class="s1">GROUP BY pickup_datetime, hr</span>
+
+<span class="s1">)</span>
+<span class="s1">, collect AS (</span>
+<span class="s1">SELECT  avg(count) as count, hr, dow from sum</span>
+<span class="s1">group by hr, dow)</span>
+
+<span class="s1">SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow,</span>
+<span class="s1">CASE WHEN swatch IS NULL THEN &#39;#999999&#39; ELSE swatch END AS swatch</span>
+<span class="s1">FROM collect</span>
+<span class="s1">LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr</span>
+<span class="s1">LEFT JOIN ptc.periods_simple USING (period_uid)</span>
+<span class="s1">ORDER BY dow, hr</span>
+
+<span class="s1">&#39;&#39;&#39;</span>
+<span class="n">count_18</span> <span class="o">=</span> <span class="n">pandasql</span><span class="o">.</span><span class="n">read_sql</span><span class="p">(</span><span class="n">query</span><span class="p">,</span><span class="n">con</span><span class="p">)</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">prop</span> <span class="o">=</span> <span class="n">rick</span><span class="o">.</span><span class="n">charts</span><span class="o">.</span><span class="n">tow_chart</span><span class="p">(</span><span class="n">data</span> <span class="o">=</span> <span class="n">count_18</span><span class="p">[</span><span class="s1">&#39;count&#39;</span><span class="p">],</span> <span class="n">ylab</span><span class="o">=</span><span class="s1">&#39;Trips&#39;</span><span class="p">,</span> <span class="n">ymax</span> <span class="o">=</span> <span class="mi">14000</span><span class="p">,</span> <span class="n">yinc</span><span class="o">=</span> <span class="mi">3500</span><span class="p">)</span>
+</pre></div>
+</div>
+<img alt="../_images/sphx_glr_plot_tow_001.png" class="sphx-glr-single-img" src="../_images/sphx_glr_plot_tow_001.png" />
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.408 seconds)</p>
+<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-tow-py">
+<div class="sphx-glr-download docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/c16f50786857748d9212f35a207c7f3e/plot_tow.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_tow.py</span></code></a></p>
+</div>
+<div class="sphx-glr-download docutils container">
+<p><a class="reference download internal" download="" href="../_downloads/380b7dbff02945ad10807fc2f42a3fae/plot_tow.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_tow.ipynb</span></code></a></p>
+</div>
+</div>
+<p class="sphx-glr-signature"><a class="reference external" href="https://sphinx-gallery.github.io">Gallery generated by Sphinx-Gallery</a></p>
+</div>
+</div>
+
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="../index.html">Documentation overview</a><ul>
+  <li><a href="index.html">Gallery of Charts</a><ul>
+      <li>Previous: <a href="plot_bar.html" title="previous chapter">Bar Chart</a></li>
+      <li>Next: <a href="plot_stacked.html" title="next chapter">Stacked Bar Chart</a></li>
+  </ul></li>
+  </ul></li>
+</ul>
+</div>
+<div id="searchbox" style="display: none" role="search">
+  <h3 id="searchlabel">Quick search</h3>
+    <div class="searchformwrapper">
+    <form class="search" action="../search.html" method="get">
+      <input type="text" name="q" aria-labelledby="searchlabel" />
+      <input type="submit" value="Go" />
+    </form>
+    </div>
+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
+        </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="footer">
+      &copy;2019, Rick Liu.
+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+      |
+      <a href="../_sources/auto_examples/plot_tow.rst.txt"
+          rel="nofollow">Page source</a>
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/auto_examples/sg_execution_times.html b/docs/auto_examples/sg_execution_times.html
new file mode 100644
index 0000000..932a576
--- /dev/null
+++ b/docs/auto_examples/sg_execution_times.html
@@ -0,0 +1,86 @@
+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>Computation times &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="../_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="../_static/gallery.css" />
+    <script type="text/javascript" id="documentation_options" data-url_root="../" src="../_static/documentation_options.js"></script>
+    <script type="text/javascript" src="../_static/jquery.js"></script>
+    <script type="text/javascript" src="../_static/underscore.js"></script>
+    <script type="text/javascript" src="../_static/doctools.js"></script>
+    <script type="text/javascript" src="../_static/language_data.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+   
+  <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+  
+  
+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+  <div class="section" id="computation-times">
+<span id="sphx-glr-auto-examples-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
+<p><strong>00:33.929</strong> total execution time for <strong>auto_examples</strong> files:</p>
+<ul class="simple">
+<li><p><strong>00:27.838</strong>: <a class="reference internal" href="plot_bar.html#sphx-glr-auto-examples-plot-bar-py"><span class="std std-ref">Bar Chart</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_bar.py</span></code>)</p></li>
+<li><p><strong>00:03.557</strong>: <a class="reference internal" href="plot_stacked.html#sphx-glr-auto-examples-plot-stacked-py"><span class="std std-ref">Stacked Bar Chart</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_stacked.py</span></code>)</p></li>
+<li><p><strong>00:01.408</strong>: <a class="reference internal" href="plot_tow.html#sphx-glr-auto-examples-plot-tow-py"><span class="std std-ref">Time of Week Chart</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_tow.py</span></code>)</p></li>
+<li><p><strong>00:01.126</strong>: <a class="reference internal" href="plot_line.html#sphx-glr-auto-examples-plot-line-py"><span class="std std-ref">Line Chart</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_line.py</span></code>)</p></li>
+<li><p><strong>00:00.000</strong>: <a class="reference internal" href="plot_chloropleth.html#sphx-glr-auto-examples-plot-chloropleth-py"><span class="std std-ref">Chloropleth Map</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_chloropleth.py</span></code>)</p></li>
+</ul>
+</div>
+
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="../index.html">Documentation overview</a><ul>
+  </ul></li>
+</ul>
+</div>
+<div id="searchbox" style="display: none" role="search">
+  <h3 id="searchlabel">Quick search</h3>
+    <div class="searchformwrapper">
+    <form class="search" action="../search.html" method="get">
+      <input type="text" name="q" aria-labelledby="searchlabel" />
+      <input type="submit" value="Go" />
+    </form>
+    </div>
+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
+        </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="footer">
+      &copy;2019, Rick Liu.
+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+      |
+      <a href="../_sources/auto_examples/sg_execution_times.rst.txt"
+          rel="nofollow">Page source</a>
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/code.html b/docs/code.html
new file mode 100644
index 0000000..087148c
--- /dev/null
+++ b/docs/code.html
@@ -0,0 +1,281 @@
+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>Auto Generated Documentation &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="_static/gallery.css" />
+    <script type="text/javascript" id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
+    <script type="text/javascript" src="_static/jquery.js"></script>
+    <script type="text/javascript" src="_static/underscore.js"></script>
+    <script type="text/javascript" src="_static/doctools.js"></script>
+    <script type="text/javascript" src="_static/language_data.js"></script>
+    <link rel="index" title="Index" href="genindex.html" />
+    <link rel="search" title="Search" href="search.html" />
+    <link rel="next" title="Gallery of Charts" href="auto_examples/index.html" />
+    <link rel="prev" title="Repeatable Information Charts Kit README" href="index.html" />
+   
+  <link rel="stylesheet" href="_static/custom.css" type="text/css" />
+  
+  
+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+  <div class="section" id="module-rick">
+<span id="auto-generated-documentation"></span><h1>Auto Generated Documentation<a class="headerlink" href="#module-rick" title="Permalink to this headline">¶</a></h1>
+<p>Version 0.8.0</p>
+<dl class="class">
+<dt id="rick.charts">
+<em class="property">class </em><code class="sig-prename descclassname">rick.</code><code class="sig-name descname">charts</code><a class="reference internal" href="_modules/rick.html#charts"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rick.charts" title="Permalink to this definition">¶</a></dt>
+<dd><p>Class defining all the charting functions.</p>
+<dl class="method">
+<dt id="rick.charts.bar_chart">
+<code class="sig-name descname">bar_chart</code><span class="sig-paren">(</span><em class="sig-param">xlab</em>, <em class="sig-param">**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/rick.html#charts.bar_chart"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rick.charts.bar_chart" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates a bar chart</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dataframe</em>) – Data for the bar chart. The dataframe must have 2 columns, the first representing the y ticks, and the second representing the data</p></li>
+<li><p><strong>xlab</strong> (<em>str</em>) – Label for the x axis.</p></li>
+<li><p><strong>xmax</strong> (<em>int</em><em>, </em><em>optional</em><em>, </em><em>default is the max s value</em>) – The max value of the y axis</p></li>
+<li><p><strong>xmin</strong> (<em>int</em><em>, </em><em>optional</em><em>, </em><em>default is 0</em>) – The minimum value of the x axis</p></li>
+<li><p><strong>precision</strong> (<em>int</em><em>, </em><em>optional</em><em>, </em><em>default is -1</em>) – Decimal places in the annotations</p></li>
+<li><p><strong>xinc</strong> (<em>int</em><em>, </em><em>optional</em>) – The increment of ticks on the x axis.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>fig</em> – Matplotlib fig object</p></li>
+<li><p><em>ax</em> – Matplotlib ax object</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="method">
+<dt id="rick.charts.chloro_map">
+<code class="sig-name descname">chloro_map</code><span class="sig-paren">(</span><em class="sig-param">df</em>, <em class="sig-param">lower</em>, <em class="sig-param">upper</em>, <em class="sig-param">title</em>, <em class="sig-param">**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/rick.html#charts.chloro_map"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rick.charts.chloro_map" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates a chloropleth map</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>con</strong> (<em>SQL connection object</em>) – Connection object needed to connect to the RDS</p></li>
+<li><p><strong>df</strong> (<em>GeoPandas Dataframe</em>) – Data for the chloropleth map. The data must only contain 2 columns; the first column has to be the geom column and the second has to be the data that needs to be mapped.</p></li>
+<li><p><strong>lower</strong> (<em>int</em>) – Lower bound for colourmap</p></li>
+<li><p><strong>upper</strong> (<em>int</em>) – Upper bound for the colourmap</p></li>
+<li><p><strong>title</strong> (<em>str</em>) – Legend label</p></li>
+<li><p><strong>subway</strong> (<em>boolean</em><em>, </em><em>optional</em><em>, </em><em>default: False</em>) – True to display subway on the map</p></li>
+<li><p><strong>island</strong> (<em>boolean</em><em>, </em><em>optional</em><em>, </em><em>defailt: True</em>) – False to grey out the Toronto island</p></li>
+<li><p><strong>cmap</strong> (<em>str</em><em>, </em><em>optional</em><em>, </em><em>default: YlOrRd</em>) – Matplotlib colourmap to use for the map</p></li>
+<li><p><strong>unit</strong> (<em>str</em><em>, </em><em>optional</em>) – Unit to append to the end of the legend tick</p></li>
+<li><p><strong>nbins</strong> (<em>int</em><em>, </em><em>optional</em><em>, </em><em>defualt: 2</em>) – Number of ticks in the colourmap</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>fig</em> – Matplotlib fig object</p></li>
+<li><p><em>ax</em> – Matplotlib ax object</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="method">
+<dt id="rick.charts.line_chart">
+<code class="sig-name descname">line_chart</code><span class="sig-paren">(</span><em class="sig-param">ylab</em>, <em class="sig-param">xlab</em>, <em class="sig-param">**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/rick.html#charts.line_chart"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rick.charts.line_chart" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates a line chart. x axis must be modified manually</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>array like</em><em> or </em><em>scalar</em>) – Data for the line chart.</p></li>
+<li><p><strong>ylab</strong> (<em>str</em>) – Label for the y axis.</p></li>
+<li><p><strong>xlab</strong> (<em>str</em>) – Label for the x axis.</p></li>
+<li><p><strong>ymax</strong> (<em>int</em><em>, </em><em>optional</em><em>, </em><em>default is the max y value</em>) – The max value of the y axis</p></li>
+<li><p><strong>ymin</strong> (<em>int</em><em>, </em><em>optional</em><em>, </em><em>default is 0</em>) – The minimum value of the y axis</p></li>
+<li><p><strong>baseline</strong> (<em>array like</em><em> or </em><em>scalar</em><em>, </em><em>optional</em><em>, </em><em>default is None</em>) – Whether another line representing the baseline needs to be plotted</p></li>
+<li><p><strong>yinc</strong> (<em>int</em><em>, </em><em>optional</em>) – The increment of ticks on the y axis.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>fig</em> – Matplotlib fig object</p></li>
+<li><p><em>ax</em> – Matplotlib ax object</p></li>
+<li><p><em>props</em> – Dictionary of the text annotation properties</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="method">
+<dt id="rick.charts.stacked_chart">
+<code class="sig-name descname">stacked_chart</code><span class="sig-paren">(</span><em class="sig-param">xlab</em>, <em class="sig-param">lab1</em>, <em class="sig-param">lab2</em>, <em class="sig-param">**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/rick.html#charts.stacked_chart"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rick.charts.stacked_chart" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates a stacked bar chart comparing 2 sets of data</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dataframe</em>) – Data for the stacked bar chart. The dataframe must have 3 columns, the first representing the y ticks, the second representing the baseline, and the third representing the next series of data.</p></li>
+<li><p><strong>xlab</strong> (<em>str</em>) – Label for the x axis.</p></li>
+<li><p><strong>lab1</strong> (<em>str</em>) – Label in the legend for the baseline</p></li>
+<li><p><strong>lab2</strong> (<em>str</em>) – Label in the legend fot the next data series</p></li>
+<li><p><strong>xmax</strong> (<em>int</em><em>, </em><em>optional</em><em>, </em><em>default is the max s value</em>) – The max value of the y axis</p></li>
+<li><p><strong>xmin</strong> (<em>int</em><em>, </em><em>optional</em><em>, </em><em>default is 0</em>) – The minimum value of the x axis</p></li>
+<li><p><strong>precision</strong> (<em>int</em><em>, </em><em>optional</em><em>, </em><em>default is -1</em>) – Decimal places in the annotations</p></li>
+<li><p><strong>percent</strong> (<em>boolean</em><em>, </em><em>optional</em><em>, </em><em>default is False</em>) – Whether the annotations should be formatted as percentages</p></li>
+<li><p><strong>xinc</strong> (<em>int</em><em>, </em><em>optional</em>) – The increment of ticks on the x axis.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>fig</em> – Matplotlib fig object</p></li>
+<li><p><em>ax</em> – Matplotlib ax object</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="method">
+<dt id="rick.charts.tow_chart">
+<code class="sig-name descname">tow_chart</code><span class="sig-paren">(</span><em class="sig-param">ylab</em>, <em class="sig-param">**kwargs</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/rick.html#charts.tow_chart"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rick.charts.tow_chart" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates a 7 day time of week line chart. Each data point represents 1 hour out of 168 hours.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>array like</em><em> or </em><em>scalar</em>) – Data for the tow chart. Data must only have 168 entries, with row 0 representing Monday at midnight.</p></li>
+<li><p><strong>ylab</strong> (<em>str</em>) – Label for the y axis.</p></li>
+<li><p><strong>ymax</strong> (<em>int</em><em>, </em><em>optional</em><em>, </em><em>default is the max y value</em>) – The max value of the y axis</p></li>
+<li><p><strong>ymin</strong> (<em>int</em><em>, </em><em>optional</em><em>, </em><em>default is 0</em>) – The minimum value of the y axis</p></li>
+<li><p><strong>yinc</strong> (<em>int</em><em>, </em><em>optional</em>) – The increment of ticks on the y axis.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>fig</em> – Matplotlib fig object</p></li>
+<li><p><em>ax</em> – Matplotlib ax object</p></li>
+<li><p><em>props</em> – Dictionary of the text annotation properties</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="class">
+<dt id="rick.colour">
+<em class="property">class </em><code class="sig-prename descclassname">rick.</code><code class="sig-name descname">colour</code><a class="reference internal" href="_modules/rick.html#colour"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rick.colour" title="Permalink to this definition">¶</a></dt>
+<dd><p>Class defining the global colour variables for all functions.</p>
+</dd></dl>
+
+<dl class="class">
+<dt id="rick.font">
+<em class="property">class </em><code class="sig-prename descclassname">rick.</code><code class="sig-name descname">font</code><a class="reference internal" href="_modules/rick.html#font"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rick.font" title="Permalink to this definition">¶</a></dt>
+<dd><p>Class defining the global font variables for all functions.</p>
+</dd></dl>
+
+<dl class="function">
+<dt id="rick.func">
+<code class="sig-prename descclassname">rick.</code><code class="sig-name descname">func</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rick.func" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to set global settings for the charts class.</p>
+</dd></dl>
+
+<dl class="class">
+<dt id="rick.geo">
+<em class="property">class </em><code class="sig-prename descclassname">rick.</code><code class="sig-name descname">geo</code><a class="reference internal" href="_modules/rick.html#geo"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rick.geo" title="Permalink to this definition">¶</a></dt>
+<dd><p>Class for additional gis layers needed for the cloropleth map.</p>
+<dl class="method">
+<dt id="rick.geo.island">
+<code class="sig-name descname">island</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/rick.html#geo.island"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rick.geo.island" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to return a layer of the Toronto island. Since the island is classified in the same neighbourhood as the waterfront, in some cases its not completely accurate to show the island shares the same data as the waterfront.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>con</strong> (<em>SQL connection object</em>) – Connection object needed to connect to the RDS</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Geopandas Dataframe of the Toronto island.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>gdf</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="method">
+<dt id="rick.geo.ttc">
+<code class="sig-name descname">ttc</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/rick.html#geo.ttc"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rick.geo.ttc" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to return the TTC subway layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>con</strong> (<em>SQL connection object</em>) – Connection object needed to connect to the RDS</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Geopandas Dataframe of the Subway Layer</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>gdf</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</div>
+
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="index.html">Documentation overview</a><ul>
+      <li>Previous: <a href="index.html" title="previous chapter">Repeatable Information Charts Kit README</a></li>
+      <li>Next: <a href="auto_examples/index.html" title="next chapter">Gallery of Charts</a></li>
+  </ul></li>
+</ul>
+</div>
+<div id="searchbox" style="display: none" role="search">
+  <h3 id="searchlabel">Quick search</h3>
+    <div class="searchformwrapper">
+    <form class="search" action="search.html" method="get">
+      <input type="text" name="q" aria-labelledby="searchlabel" />
+      <input type="submit" value="Go" />
+    </form>
+    </div>
+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
+        </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="footer">
+      &copy;2019, Rick Liu.
+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+      |
+      <a href="_sources/code.rst.txt"
+          rel="nofollow">Page source</a>
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/genindex.html b/docs/genindex.html
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+++ b/docs/genindex.html
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+
+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>Index &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="_static/gallery.css" />
+    <script type="text/javascript" id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
+    <script type="text/javascript" src="_static/jquery.js"></script>
+    <script type="text/javascript" src="_static/underscore.js"></script>
+    <script type="text/javascript" src="_static/doctools.js"></script>
+    <script type="text/javascript" src="_static/language_data.js"></script>
+    <link rel="index" title="Index" href="#" />
+    <link rel="search" title="Search" href="search.html" />
+   
+  <link rel="stylesheet" href="_static/custom.css" type="text/css" />
+  
+  
+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+
+<h1 id="index">Index</h1>
+
+<div class="genindex-jumpbox">
+ <a href="#B"><strong>B</strong></a>
+ | <a href="#C"><strong>C</strong></a>
+ | <a href="#F"><strong>F</strong></a>
+ | <a href="#G"><strong>G</strong></a>
+ | <a href="#I"><strong>I</strong></a>
+ | <a href="#L"><strong>L</strong></a>
+ | <a href="#R"><strong>R</strong></a>
+ | <a href="#S"><strong>S</strong></a>
+ | <a href="#T"><strong>T</strong></a>
+ 
+</div>
+<h2 id="B">B</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="code.html#rick.charts.bar_chart">bar_chart() (rick.charts method)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="C">C</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="code.html#rick.charts">charts (class in rick)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="code.html#rick.charts.chloro_map">chloro_map() (rick.charts method)</a>
+</li>
+      <li><a href="code.html#rick.colour">colour (class in rick)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="F">F</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="code.html#rick.font">font (class in rick)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="code.html#rick.func">func() (in module rick)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="G">G</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="code.html#rick.geo">geo (class in rick)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="I">I</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="code.html#rick.geo.island">island() (rick.geo method)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="L">L</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="code.html#rick.charts.line_chart">line_chart() (rick.charts method)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="R">R</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="code.html#module-rick">rick (module)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="S">S</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="code.html#rick.charts.stacked_chart">stacked_chart() (rick.charts method)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="T">T</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="code.html#rick.charts.tow_chart">tow_chart() (rick.charts method)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="code.html#rick.geo.ttc">ttc() (rick.geo method)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="index.html">Documentation overview</a><ul>
+  </ul></li>
+</ul>
+</div>
+<div id="searchbox" style="display: none" role="search">
+  <h3 id="searchlabel">Quick search</h3>
+    <div class="searchformwrapper">
+    <form class="search" action="search.html" method="get">
+      <input type="text" name="q" aria-labelledby="searchlabel" />
+      <input type="submit" value="Go" />
+    </form>
+    </div>
+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
+        </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="footer">
+      &copy;2019, Rick Liu.
+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/index.html b/docs/index.html
new file mode 100644
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--- /dev/null
+++ b/docs/index.html
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+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>Repeatable Information Charts Kit README &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="_static/gallery.css" />
+    <script type="text/javascript" id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
+    <script type="text/javascript" src="_static/jquery.js"></script>
+    <script type="text/javascript" src="_static/underscore.js"></script>
+    <script type="text/javascript" src="_static/doctools.js"></script>
+    <script type="text/javascript" src="_static/language_data.js"></script>
+    <link rel="index" title="Index" href="genindex.html" />
+    <link rel="search" title="Search" href="search.html" />
+    <link rel="next" title="Auto Generated Documentation" href="code.html" />
+   
+  <link rel="stylesheet" href="_static/custom.css" type="text/css" />
+  
+  
+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+  <div class="section" id="repeatable-information-charts-kit-readme">
+<h1>Repeatable Information Charts Kit README<a class="headerlink" href="#repeatable-information-charts-kit-readme" title="Permalink to this headline">¶</a></h1>
+<p>This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib fig and ax object so that the figure can be further modified using matplotlib functions.</p>
+<div class="toctree-wrapper compound">
+<p class="caption"><span class="caption-text">Contents:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="code.html">Auto Generated Documentation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="auto_examples/index.html">Gallery of Charts</a><ul>
+</ul>
+</li>
+</ul>
+</div>
+</div>
+<div class="section" id="indices-and-tables">
+<h1>Indices and tables<a class="headerlink" href="#indices-and-tables" title="Permalink to this headline">¶</a></h1>
+<ul class="simple">
+<li><p><a class="reference internal" href="genindex.html"><span class="std std-ref">Index</span></a></p></li>
+<li><p><a class="reference internal" href="py-modindex.html"><span class="std std-ref">Module Index</span></a></p></li>
+<li><p><a class="reference internal" href="search.html"><span class="std std-ref">Search Page</span></a></p></li>
+</ul>
+</div>
+
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="#">Documentation overview</a><ul>
+      <li>Next: <a href="code.html" title="next chapter">Auto Generated Documentation</a></li>
+  </ul></li>
+</ul>
+</div>
+<div id="searchbox" style="display: none" role="search">
+  <h3 id="searchlabel">Quick search</h3>
+    <div class="searchformwrapper">
+    <form class="search" action="search.html" method="get">
+      <input type="text" name="q" aria-labelledby="searchlabel" />
+      <input type="submit" value="Go" />
+    </form>
+    </div>
+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
+        </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="footer">
+      &copy;2019, Rick Liu.
+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+      |
+      <a href="_sources/index.rst.txt"
+          rel="nofollow">Page source</a>
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/objects.inv b/docs/objects.inv
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+++ b/docs/py-modindex.html
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+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>Python Module Index &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="_static/gallery.css" />
+    <script type="text/javascript" id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
+    <script type="text/javascript" src="_static/jquery.js"></script>
+    <script type="text/javascript" src="_static/underscore.js"></script>
+    <script type="text/javascript" src="_static/doctools.js"></script>
+    <script type="text/javascript" src="_static/language_data.js"></script>
+    <link rel="index" title="Index" href="genindex.html" />
+    <link rel="search" title="Search" href="search.html" />
+
+   
+  <link rel="stylesheet" href="_static/custom.css" type="text/css" />
+  
+  
+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+
+    <script type="text/javascript">
+      DOCUMENTATION_OPTIONS.COLLAPSE_INDEX = true;
+    </script>
+
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+
+   <h1>Python Module Index</h1>
+
+   <div class="modindex-jumpbox">
+   <a href="#cap-r"><strong>r</strong></a>
+   </div>
+
+   <table class="indextable modindextable">
+     <tr class="pcap"><td></td><td>&#160;</td><td></td></tr>
+     <tr class="cap" id="cap-r"><td></td><td>
+       <strong>r</strong></td><td></td></tr>
+     <tr>
+       <td></td>
+       <td>
+       <a href="code.html#module-rick"><code class="xref">rick</code></a></td><td>
+       <em></em></td></tr>
+   </table>
+
+
+          </div>
+        </div>
+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="index.html">Documentation overview</a><ul>
+  </ul></li>
+</ul>
+</div>
+<div id="searchbox" style="display: none" role="search">
+  <h3 id="searchlabel">Quick search</h3>
+    <div class="searchformwrapper">
+    <form class="search" action="search.html" method="get">
+      <input type="text" name="q" aria-labelledby="searchlabel" />
+      <input type="submit" value="Go" />
+    </form>
+    </div>
+</div>
+<script type="text/javascript">$('#searchbox').show(0);</script>
+        </div>
+      </div>
+      <div class="clearer"></div>
+    </div>
+    <div class="footer">
+      &copy;2019, Rick Liu.
+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/search.html b/docs/search.html
new file mode 100644
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--- /dev/null
+++ b/docs/search.html
@@ -0,0 +1,89 @@
+
+<!DOCTYPE html>
+
+<html xmlns="http://www.w3.org/1999/xhtml">
+  <head>
+    <meta charset="utf-8" />
+    <title>Search &#8212; VFH Charts 2019-07-16 documentation</title>
+    <link rel="stylesheet" href="_static/alabaster.css" type="text/css" />
+    <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
+    <link rel="stylesheet" type="text/css" href="_static/gallery.css" />
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+    <script type="text/javascript" src="_static/doctools.js"></script>
+    <script type="text/javascript" src="_static/language_data.js"></script>
+    <script type="text/javascript" src="_static/searchtools.js"></script>
+    <link rel="index" title="Index" href="genindex.html" />
+    <link rel="search" title="Search" href="#" />
+  <script type="text/javascript" src="searchindex.js" defer></script>
+  
+   
+  <link rel="stylesheet" href="_static/custom.css" type="text/css" />
+  
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+  <meta name="viewport" content="width=device-width, initial-scale=0.9, maximum-scale=0.9" />
+
+
+  </head><body>
+  
+
+    <div class="document">
+      <div class="documentwrapper">
+        <div class="bodywrapper">
+          <div class="body" role="main">
+            
+  <h1 id="search-documentation">Search</h1>
+  <div id="fallback" class="admonition warning">
+  <script type="text/javascript">$('#fallback').hide();</script>
+  <p>
+    Please activate JavaScript to enable the search
+    functionality.
+  </p>
+  </div>
+  <p>
+    From here you can search these documents. Enter your search
+    words into the box below and click "search". Note that the search
+    function will automatically search for all of the words. Pages
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+  </p>
+  <form action="" method="get">
+    <input type="text" name="q" value="" />
+    <input type="submit" value="search" />
+    <span id="search-progress" style="padding-left: 10px"></span>
+  </form>
+  
+  <div id="search-results">
+  
+  </div>
+
+          </div>
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+      </div>
+      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+        <div class="sphinxsidebarwrapper"><div class="relations">
+<h3>Related Topics</h3>
+<ul>
+  <li><a href="index.html">Documentation overview</a><ul>
+  </ul></li>
+</ul>
+</div>
+        </div>
+      </div>
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+    </div>
+    <div class="footer">
+      &copy;2019, Rick Liu.
+      
+      |
+      Powered by <a href="http://sphinx-doc.org/">Sphinx 2.1.2</a>
+      &amp; <a href="https://github.com/bitprophet/alabaster">Alabaster 0.7.10</a>
+      
+    </div>
+
+    
+
+    
+  </body>
+</html>
\ No newline at end of file
diff --git a/docs/searchindex.js b/docs/searchindex.js
new file mode 100644
index 0000000..d202c41
--- /dev/null
+++ b/docs/searchindex.js
@@ -0,0 +1 @@
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