|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "id": "b64186c9-ae08-4eae-8ea8-d1ae43bc8b95", |
| 6 | + "metadata": {}, |
| 7 | + "source": [ |
| 8 | + "# Handling of Empty Panels in `facetWrap()`" |
| 9 | + ] |
| 10 | + }, |
| 11 | + { |
| 12 | + "cell_type": "code", |
| 13 | + "execution_count": null, |
| 14 | + "id": "0ce1758f-9bdb-4213-b22e-8376d39681d6", |
| 15 | + "metadata": {}, |
| 16 | + "outputs": [], |
| 17 | + "source": [ |
| 18 | + "%useLatestDescriptors\n", |
| 19 | + "%use lets-plot\n", |
| 20 | + "%use dataframe" |
| 21 | + ] |
| 22 | + }, |
| 23 | + { |
| 24 | + "cell_type": "code", |
| 25 | + "execution_count": null, |
| 26 | + "id": "32276694-1825-447a-ad40-b6fd30abc47f", |
| 27 | + "metadata": {}, |
| 28 | + "outputs": [], |
| 29 | + "source": [ |
| 30 | + "LetsPlot.getInfo()" |
| 31 | + ] |
| 32 | + }, |
| 33 | + { |
| 34 | + "cell_type": "code", |
| 35 | + "execution_count": null, |
| 36 | + "id": "2c595e38-65ec-40d3-a16b-927879998360", |
| 37 | + "metadata": {}, |
| 38 | + "outputs": [], |
| 39 | + "source": [ |
| 40 | + "import org.jetbrains.kotlinx.dataframe.api.*\n", |
| 41 | + "\n", |
| 42 | + "val df = DataFrame.readCSV(\"https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg2.csv\")\n", |
| 43 | + "val data = df.toMap() " |
| 44 | + ] |
| 45 | + }, |
| 46 | + { |
| 47 | + "cell_type": "code", |
| 48 | + "execution_count": null, |
| 49 | + "id": "49e00fb9-1a05-4366-ad23-c6973a942ac1", |
| 50 | + "metadata": {}, |
| 51 | + "outputs": [], |
| 52 | + "source": [ |
| 53 | + "val p = letsPlot(data) {\n", |
| 54 | + " x = \"engine horsepower\"\n", |
| 55 | + " y = \"miles per gallon\"\n", |
| 56 | + " color = asDiscrete(\"origin of car\", order = -1)\n", |
| 57 | + "} + geomPoint() +\n", |
| 58 | + " themeGrey() +\n", |
| 59 | + " ggtitle(\"Efficiency vs Engine Horsepower\")\n", |
| 60 | + "\n", |
| 61 | + "p" |
| 62 | + ] |
| 63 | + }, |
| 64 | + { |
| 65 | + "cell_type": "markdown", |
| 66 | + "id": "467498b5-95ac-4cce-9ce0-9024af0120b2", |
| 67 | + "metadata": {}, |
| 68 | + "source": [ |
| 69 | + "### Empty Facet Panels are Dropped by Default\n", |
| 70 | + "\n", |
| 71 | + "For example, there are no 3-cylinder engine cars originated in the US. Accordingly, this facet panel is dropped." |
| 72 | + ] |
| 73 | + }, |
| 74 | + { |
| 75 | + "cell_type": "code", |
| 76 | + "execution_count": null, |
| 77 | + "id": "ebda0228-9500-4e48-ba05-64f98b645218", |
| 78 | + "metadata": {}, |
| 79 | + "outputs": [], |
| 80 | + "source": [ |
| 81 | + "p + facetWrap(\n", |
| 82 | + " listOf(\"origin of car\", \"number of cylinders\"),\n", |
| 83 | + " order = listOf(-1, 1),\n", |
| 84 | + " ncol = 3\n", |
| 85 | + ")" |
| 86 | + ] |
| 87 | + }, |
| 88 | + { |
| 89 | + "cell_type": "markdown", |
| 90 | + "id": "28a91a2c-38dd-4f75-b9aa-2d7daa624070", |
| 91 | + "metadata": {}, |
| 92 | + "source": [ |
| 93 | + "### Using the `drop` Parameter to Control Empty Panels\n", |
| 94 | + "\n", |
| 95 | + "Use `drop=false` to show all factor levels regardless of whether they occur in the data." |
| 96 | + ] |
| 97 | + }, |
| 98 | + { |
| 99 | + "cell_type": "code", |
| 100 | + "execution_count": null, |
| 101 | + "id": "adfcc480-582e-41b9-b6d9-1f2c2c687a0b", |
| 102 | + "metadata": {}, |
| 103 | + "outputs": [], |
| 104 | + "source": [ |
| 105 | + "p + facetWrap(\n", |
| 106 | + " listOf(\"origin of car\", \"number of cylinders\"),\n", |
| 107 | + " order = listOf(-1, 1),\n", |
| 108 | + " ncol = 5,\n", |
| 109 | + " drop = false\n", |
| 110 | + ")" |
| 111 | + ] |
| 112 | + } |
| 113 | + ], |
| 114 | + "metadata": { |
| 115 | + "kernelspec": { |
| 116 | + "display_name": "Kotlin [conda env:lpk-master]", |
| 117 | + "language": "kotlin", |
| 118 | + "name": "conda-env-lpk-master-kotlin" |
| 119 | + }, |
| 120 | + "language_info": { |
| 121 | + "codemirror_mode": "text/x-kotlin", |
| 122 | + "file_extension": ".kt", |
| 123 | + "mimetype": "text/x-kotlin", |
| 124 | + "name": "kotlin", |
| 125 | + "nbconvert_exporter": "", |
| 126 | + "pygments_lexer": "kotlin", |
| 127 | + "version": "1.9.23" |
| 128 | + } |
| 129 | + }, |
| 130 | + "nbformat": 4, |
| 131 | + "nbformat_minor": 5 |
| 132 | +} |
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