refactor(analysis): rename outputs to relate to name of tables and figures from paper

Author: amyheather

notebooks/analysis.ipynb

@@ -1863,11 +1863,11 @@
    "source": [
     "# Acute stroke unit\n",
     "plot_occupancy_freq(base_overall[\"asu\"], unit=\"asu\",\n",
-    "                    file=\"occupancy_freq_asu.png\")\n",
+    "                    file=\"figure1_asu.png\")\n",
     "\n",
     "# Rehabilitation unit\n",
     "plot_occupancy_freq(base_overall[\"rehab\"], unit=\"rehab\",\n",
-    "                    file=\"occupancy_freq_rehab.png\")"
+    "                    file=\"figure1_rehab.png\")"
    ]
   },
   {
@@ -3768,9 +3768,8 @@
     }
    ],
    "source": [
-    "plot_delay_prob(base_overall[\"asu\"], unit=\"asu\", file=\"delay_prob_asu.png\")\n",
-    "plot_delay_prob(base_overall[\"rehab\"], unit=\"rehab\",\n",
-    "                file=\"delay_prob_rehab.png\")"
+    "plot_delay_prob(base_overall[\"asu\"], unit=\"asu\", file=\"figure3_asu.png\")\n",
+    "plot_delay_prob(base_overall[\"rehab\"], unit=\"rehab\", file=\"figure3_rehab.png\")"
    ]
   },
   {
@@ -4327,7 +4326,7 @@
     "# Display and save to csv\n",
     "display(adj_full_tab_2)\n",
     "adj_full_tab_2.to_csv(\n",
-    "    os.path.join(OUTPUT_DIR, \"delay_scenario1.csv\"), index=False)"
+    "    os.path.join(OUTPUT_DIR, \"table2.csv\"), index=False)"
    ]
   },
   {
@@ -4557,7 +4556,7 @@
     "\n",
     "# Display and save to csv\n",
     "display(sup_tab1)\n",
-    "sup_tab1.to_csv(os.path.join(OUTPUT_DIR, \"delay_scenario4.csv\"), index=False)"
+    "sup_tab1.to_csv(os.path.join(OUTPUT_DIR, \"suptable1.csv\"), index=False)"
    ]
   },
   {
@@ -5604,19 +5603,19 @@
    ],
    "source": [
     "# Convert to a dataframe\n",
-    "tab2 = pd.DataFrame(pool_result_list)\n",
+    "tab3 = pd.DataFrame(pool_result_list)\n",
     "\n",
     "for delay_type in [\"acute\", \"rehab\"]:\n",
     "    # Round probabilities to 3 decimal places\n",
-    "    tab2[f\"pdelay_{delay_type}\"] = round(tab2[f\"pdelay_{delay_type}\"], 3)\n",
+    "    tab3[f\"pdelay_{delay_type}\"] = round(tab3[f\"pdelay_{delay_type}\"], 3)\n",
     "    # Convert 1-in-n counts to integers\n",
-    "    tab2[f\"1_in_n_delay_{delay_type}\"] = (\n",
-    "        tab2[f\"1_in_n_delay_{delay_type}\"].astype(int))\n",
+    "    tab3[f\"1_in_n_delay_{delay_type}\"] = (\n",
+    "        tab3[f\"1_in_n_delay_{delay_type}\"].astype(int))\n",
     "\n",
     "# Display and save to csv\n",
-    "display(tab2)\n",
-    "tab2.to_csv(\n",
-    "    os.path.join(OUTPUT_DIR, \"pooling.csv\"), index=False)"
+    "display(tab3)\n",
+    "tab3.to_csv(\n",
+    "    os.path.join(OUTPUT_DIR, \"table3.csv\"), index=False)"
    ]
   }
  ],