{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "eab1b42f-3904-4171-b965-6f73ee8369ab",
   "metadata": {
    "tags": []
   },
   "source": [
    "# General Practitioners in parisian departements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "b61a706e-74ac-43bf-9a2e-c7a02c8db6de",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pynsee.sirene import get_dimension_list, search_sirene\n",
    "from pynsee.metadata import get_activity_list\n",
    "from pynsee.geodata import get_geodata_list, get_geodata\n",
    "from pynsee.localdata import get_geo_list\n",
    "\n",
    "import difflib\n",
    "import geopandas as gpd\n",
    "import numpy\n",
    "import pandas as pd\n",
    "from pandas.api.types import CategoricalDtype\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.pyplot as plt\n",
    "import descartes\n",
    "import re\n",
    "from shapely.geometry import Polygon, MultiPolygon\n",
    "from matplotlib.offsetbox import AnchoredText"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e4fd6648-51f1-4d29-9a43-1db647a597a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import logging\n",
    "import sys\n",
    "logging.basicConfig(stream=sys.stdout,\n",
    "                    level=logging.INFO, \n",
    "                    format=\"%(message)s\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "cf972bae-a3ed-4b8e-ac94-c3a963604eb9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Previously saved data has been used:\n",
      "/home/tfardet/.cache/pynsee/pynsee/3e054427d1b13bfc770c9c256b2dbe46.parquet\n",
      "Creation date: 2025-02-07, today\n",
      "Set update=True to get the most up-to-date data\n"
     ]
    }
   ],
   "source": [
    "get_dimension_list().to_csv(\"sirene_dimensions.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "ae8af4f7-06e3-4760-ab6f-aad5ab00a3ef",
   "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>A10</th>\n",
       "      <th>A129</th>\n",
       "      <th>A17</th>\n",
       "      <th>A21</th>\n",
       "      <th>A38</th>\n",
       "      <th>A5</th>\n",
       "      <th>A64</th>\n",
       "      <th>A88</th>\n",
       "      <th>NAF1</th>\n",
       "      <th>NAF2</th>\n",
       "      <th>NAF3</th>\n",
       "      <th>NAF4</th>\n",
       "      <th>NAF5</th>\n",
       "      <th>TITLE_NAF5_40CH_FR</th>\n",
       "      <th>TITLE_NAF5_65CH_FR</th>\n",
       "      <th>TITLE_NAF5_FR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>664</th>\n",
       "      <td>OQ</td>\n",
       "      <td>Q86Z</td>\n",
       "      <td>OQ</td>\n",
       "      <td>Q</td>\n",
       "      <td>QA</td>\n",
       "      <td>OQ</td>\n",
       "      <td>QA0</td>\n",
       "      <td>86</td>\n",
       "      <td>Q</td>\n",
       "      <td>86</td>\n",
       "      <td>86.2</td>\n",
       "      <td>86.21</td>\n",
       "      <td>86.21Z</td>\n",
       "      <td>Activité des médecins généralistes</td>\n",
       "      <td>Activité des médecins généralistes</td>\n",
       "      <td>Activité des médecins généralistes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>665</th>\n",
       "      <td>OQ</td>\n",
       "      <td>Q86Z</td>\n",
       "      <td>OQ</td>\n",
       "      <td>Q</td>\n",
       "      <td>QA</td>\n",
       "      <td>OQ</td>\n",
       "      <td>QA0</td>\n",
       "      <td>86</td>\n",
       "      <td>Q</td>\n",
       "      <td>86</td>\n",
       "      <td>86.2</td>\n",
       "      <td>86.22</td>\n",
       "      <td>86.22A</td>\n",
       "      <td>Act. radiodiagnostic et de radiothérapie</td>\n",
       "      <td>Activités de radiodiagnostic et de radiothérapie</td>\n",
       "      <td>Activités de radiodiagnostic et de radiothérapie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>666</th>\n",
       "      <td>OQ</td>\n",
       "      <td>Q86Z</td>\n",
       "      <td>OQ</td>\n",
       "      <td>Q</td>\n",
       "      <td>QA</td>\n",
       "      <td>OQ</td>\n",
       "      <td>QA0</td>\n",
       "      <td>86</td>\n",
       "      <td>Q</td>\n",
       "      <td>86</td>\n",
       "      <td>86.2</td>\n",
       "      <td>86.22</td>\n",
       "      <td>86.22B</td>\n",
       "      <td>Activités chirurgicales</td>\n",
       "      <td>Activités chirurgicales</td>\n",
       "      <td>Activités chirurgicales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>667</th>\n",
       "      <td>OQ</td>\n",
       "      <td>Q86Z</td>\n",
       "      <td>OQ</td>\n",
       "      <td>Q</td>\n",
       "      <td>QA</td>\n",
       "      <td>OQ</td>\n",
       "      <td>QA0</td>\n",
       "      <td>86</td>\n",
       "      <td>Q</td>\n",
       "      <td>86</td>\n",
       "      <td>86.2</td>\n",
       "      <td>86.22</td>\n",
       "      <td>86.22C</td>\n",
       "      <td>Autre activité des médecins spécialistes</td>\n",
       "      <td>Autres activités des médecins spécialistes</td>\n",
       "      <td>Autres activités des médecins spécialistes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>668</th>\n",
       "      <td>OQ</td>\n",
       "      <td>Q86Z</td>\n",
       "      <td>OQ</td>\n",
       "      <td>Q</td>\n",
       "      <td>QA</td>\n",
       "      <td>OQ</td>\n",
       "      <td>QA0</td>\n",
       "      <td>86</td>\n",
       "      <td>Q</td>\n",
       "      <td>86</td>\n",
       "      <td>86.2</td>\n",
       "      <td>86.23</td>\n",
       "      <td>86.23Z</td>\n",
       "      <td>Pratique dentaire</td>\n",
       "      <td>Pratique dentaire</td>\n",
       "      <td>Pratique dentaire</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    A10  A129 A17 A21 A38  A5  A64 A88 NAF1 NAF2  NAF3   NAF4    NAF5  \\\n",
       "664  OQ  Q86Z  OQ   Q  QA  OQ  QA0  86    Q   86  86.2  86.21  86.21Z   \n",
       "665  OQ  Q86Z  OQ   Q  QA  OQ  QA0  86    Q   86  86.2  86.22  86.22A   \n",
       "666  OQ  Q86Z  OQ   Q  QA  OQ  QA0  86    Q   86  86.2  86.22  86.22B   \n",
       "667  OQ  Q86Z  OQ   Q  QA  OQ  QA0  86    Q   86  86.2  86.22  86.22C   \n",
       "668  OQ  Q86Z  OQ   Q  QA  OQ  QA0  86    Q   86  86.2  86.23  86.23Z   \n",
       "\n",
       "                           TITLE_NAF5_40CH_FR  \\\n",
       "664        Activité des médecins généralistes   \n",
       "665  Act. radiodiagnostic et de radiothérapie   \n",
       "666                   Activités chirurgicales   \n",
       "667  Autre activité des médecins spécialistes   \n",
       "668                         Pratique dentaire   \n",
       "\n",
       "                                   TITLE_NAF5_65CH_FR  \\\n",
       "664                Activité des médecins généralistes   \n",
       "665  Activités de radiodiagnostic et de radiothérapie   \n",
       "666                           Activités chirurgicales   \n",
       "667        Autres activités des médecins spécialistes   \n",
       "668                                 Pratique dentaire   \n",
       "\n",
       "                                        TITLE_NAF5_FR  \n",
       "664                Activité des médecins généralistes  \n",
       "665  Activités de radiodiagnostic et de radiothérapie  \n",
       "666                           Activités chirurgicales  \n",
       "667        Autres activités des médecins spécialistes  \n",
       "668                                 Pratique dentaire  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get activity list\n",
    "naf5 = get_activity_list('NAF5')\n",
    "naf5.to_csv(\"naf.csv\")\n",
    "naf5[naf5[\"NAF5\"].str.contains(\"^86.2\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "b3b11d8f-a5c1-479e-b657-a8f8d3a323fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'92*|93*|75*|94*'"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# departements list of ile de france\n",
    "list_dep = [\"92\", \"93\", \"75\", \"94\"] # + [\"77\", \"78\", \"95\", \"91\"]\n",
    "string_dep = \"|\".join([dep + \"*\" for dep in list_dep])\n",
    "string_dep"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "ab17218e-e2dd-435b-b9d7-cdbd20e5d79a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Previously saved data has been used:\n",
      "/home/tfardet/.cache/pynsee/pynsee/78cebe2f46279956f9948c8938f24c53.parquet\n",
      "Creation date: 2025-02-07, today\n",
      "Set update=True to get the most up-to-date data\n"
     ]
    }
   ],
   "source": [
    "# search data on doctors\n",
    "\n",
    "doctors = search_sirene(variable = [\"activitePrincipaleEtablissement\", \"codePostalEtablissement\"],\n",
    "                        pattern = ['86.21Z*', string_dep],\n",
    "                        number = 100000)\n",
    " # '86.21Z' médecin généraliste\n",
    "\n",
    "doctors = doctors[doctors[\"activitePrincipaleEtablissement\"].str.contains(\"^86.21Z\")].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "e86f34af-43e5-4ac2-9ee1-2b91c280cab8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# filter\n",
    "list_pattern = [\"RADIOLOGIE\", \"IMAGERIE\", \"GYNECO\", \"DENTAIRE\", \"ANESTHES\", 'P.M.I', 'INFANTILE', 'CARDIOLOG',\n",
    "                \"MAXILLO\", \"HOSPITALIER\", \"OPHTALMO\", \"DERMATOLOG\", 'PLANIFICATION', 'MAIRIE', 'THORACIQUE',\n",
    "                \"TOMODENSITOM\", \"URGENCE\", \"NEPHROLOG\", \"PRAXEA\", 'VACCINATION', 'SCOLAIRE', 'CANCER', 'STOMATOLO',\n",
    "                \"URODYNAMIQ\", \"CARDIORIS\", \"CHIRPLASTIQUE\", \"NINAMAX\", \"CICOF\", 'MATERNELLE', 'DIALYSE',\n",
    "                'RADIOTHERAPIE', 'RHUMATOLOG', 'DENTISTE', 'ECHOGRAPH', 'PATHOLOG', 'CHIRURGIE', 'ESTHETIQ',\n",
    "                'CYTOLOG', 'ORTHOPED']\n",
    "\n",
    "pattern = r\"|\".join(list_pattern)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "2c296083-9600-453b-b6eb-e10a85e25ddd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# clean up the data not related to general practitioners but to other health activities\n",
    "doctors = doctors[~doctors[\"denominationUniteLegale\"].str.contains(pattern, regex=True, na=False)].reset_index(drop=True)\n",
    "doctors = doctors[~doctors[\"enseigne1Etablissement\"].str.contains(pattern, regex=True, na=False)].reset_index(drop=True)\n",
    "\n",
    "# exclude association and administration\n",
    "doctors = doctors[~doctors[\"categorieJuridiqueUniteLegale\"].isin([\"9220\", \"7220\"])].reset_index(drop=True)\n",
    "doctors = doctors.sort_values([\"categorieJuridiqueUniteLegale\"])\n",
    "\n",
    "doctors.to_csv(\"doctors.csv\")\n",
    "list_denomination_uniteLegale = doctors.denominationUniteLegale.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "07275c7f-350a-417e-93e5-297300f6e2b5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Previously saved data has been used:\n",
      "/home/tfardet/.cache/pynsee/pynsee/e879822687bab4b12f23762b5d56742b.parquet\n",
      "Creation date: 2025-02-07, today\n",
      "Set update=True to get the most up-to-date data\n"
     ]
    }
   ],
   "source": [
    "# get geographical data list\n",
    "geodata_list = get_geodata_list()\n",
    "\n",
    "# get communes geographical limits\n",
    "com = get_geodata('ADMINEXPRESS-COG-CARTO.LATEST:commune')\n",
    "\n",
    "# get arrondissement (subdivision of departement) geographical limits\n",
    "arr = get_geodata('ADMINEXPRESS-COG-CARTO.LATEST:arrondissement')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "627856cc-c3e9-4a0e-8854-c32214da72f4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Previously saved data has been used:\n",
      "/home/tfardet/.cache/pynsee/pynsee/25e148c283d20f478d44c0ed19a75b73.parquet\n",
      "Creation date: 2025-02-07, today\n",
      "Set update=True to get the most up-to-date data\n"
     ]
    }
   ],
   "source": [
    "# get arrondissement municipal geographical limits\n",
    "arrmun = get_geodata('ADMINEXPRESS-COG-CARTO.LATEST:arrondissement_municipal')\n",
    "arrmun = arrmun[arrmun.insee_com.str.contains('^75')].reset_index(drop=True)\n",
    "arrmun[\"nom_m\"] = arrmun[\"nom_m\"].apply(lambda x: re.sub(r\"ER|E\", \"\", re.sub(\" ARRONDISSEMENT\", \"\", x)))\n",
    "arrmun = arrmun.rename(columns={\"geometry\" : \"geometry2\",\n",
    "                                \"population\" : \"population2\",\n",
    "                               \"nom_m\" : \"nom_m2\"})\n",
    "arrmun = arrmun[[\"nom_m2\", \"geometry2\", \"population2\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "5c442c95-a7a9-473c-b299-f0bef534f9c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "def _replace_nan(x, y):\n",
    "    if (x is None) or (numpy.isnan(x)):\n",
    "        return y\n",
    "    else:\n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "5dd21870-871a-439f-b79d-caabafb38fa5",
   "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>siren</th>\n",
       "      <th>nic</th>\n",
       "      <th>siret</th>\n",
       "      <th>dateDebut</th>\n",
       "      <th>dateCreationEtablissement</th>\n",
       "      <th>dateCreationUniteLegale</th>\n",
       "      <th>dateFin</th>\n",
       "      <th>denominationUniteLegale</th>\n",
       "      <th>nomUniteLegale</th>\n",
       "      <th>prenomUsuelUniteLegale</th>\n",
       "      <th>...</th>\n",
       "      <th>codePostal2Etablissement</th>\n",
       "      <th>libelleCommune2Etablissement</th>\n",
       "      <th>libelleCommuneEtranger2Etablissement</th>\n",
       "      <th>distributionSpeciale2Etablissement</th>\n",
       "      <th>codeCommune2Etablissement</th>\n",
       "      <th>codeCedex2Etablissement</th>\n",
       "      <th>libelleCedex2Etablissement</th>\n",
       "      <th>codePaysEtranger2Etablissement</th>\n",
       "      <th>libellePaysEtranger2Etablissement</th>\n",
       "      <th>enseigne3Etablissement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9754</th>\n",
       "      <td>934302480</td>\n",
       "      <td>00017</td>\n",
       "      <td>93430248000017</td>\n",
       "      <td>2024-11-01</td>\n",
       "      <td>2024-11-01</td>\n",
       "      <td>2024-11-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>MAKNI</td>\n",
       "      <td>SAMIA</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5509</th>\n",
       "      <td>494498017</td>\n",
       "      <td>00040</td>\n",
       "      <td>49449801700040</td>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>2006-01-17</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>HERAULT</td>\n",
       "      <td>NATHALIE</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5508</th>\n",
       "      <td>494422066</td>\n",
       "      <td>00030</td>\n",
       "      <td>49442206600030</td>\n",
       "      <td>2014-07-07</td>\n",
       "      <td>2014-07-07</td>\n",
       "      <td>2006-06-09</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>VENTRE</td>\n",
       "      <td>MARIE</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5507</th>\n",
       "      <td>494390701</td>\n",
       "      <td>00022</td>\n",
       "      <td>49439070100022</td>\n",
       "      <td>2015-04-01</td>\n",
       "      <td>2015-04-01</td>\n",
       "      <td>2007-01-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>KARRAZ</td>\n",
       "      <td>WAEL</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5506</th>\n",
       "      <td>494260391</td>\n",
       "      <td>00045</td>\n",
       "      <td>49426039100045</td>\n",
       "      <td>2019-11-28</td>\n",
       "      <td>2019-11-28</td>\n",
       "      <td>2006-11-09</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>BOTHNER</td>\n",
       "      <td>LAURENT</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6262</th>\n",
       "      <td>775665805</td>\n",
       "      <td>00468</td>\n",
       "      <td>77566580500468</td>\n",
       "      <td>2008-01-01</td>\n",
       "      <td>1996-12-25</td>\n",
       "      <td>1900-01-01</td>\n",
       "      <td>None</td>\n",
       "      <td>COMPAGNIE FILLES CHARITE ST VINCENT PAUL</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6274</th>\n",
       "      <td>775683006</td>\n",
       "      <td>00362</td>\n",
       "      <td>77568300600362</td>\n",
       "      <td>2017-06-21</td>\n",
       "      <td>2017-06-21</td>\n",
       "      <td>1900-01-01</td>\n",
       "      <td>None</td>\n",
       "      <td>FONDATION  SANTE DES ETUDIANTS DE FRANCE</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6261</th>\n",
       "      <td>775663883</td>\n",
       "      <td>00020</td>\n",
       "      <td>77566388300020</td>\n",
       "      <td>2008-01-01</td>\n",
       "      <td>1900-01-01</td>\n",
       "      <td>1900-01-01</td>\n",
       "      <td>None</td>\n",
       "      <td>INSTITUT ARTHUR VERNES</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>313711038</td>\n",
       "      <td>00015</td>\n",
       "      <td>31371103800015</td>\n",
       "      <td>2008-01-01</td>\n",
       "      <td>1978-01-01</td>\n",
       "      <td>1978-01-01</td>\n",
       "      <td>None</td>\n",
       "      <td>FONDATION HAHNEMANN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>310227749</td>\n",
       "      <td>00010</td>\n",
       "      <td>31022774900010</td>\n",
       "      <td>2008-01-01</td>\n",
       "      <td>1900-01-01</td>\n",
       "      <td>1900-01-01</td>\n",
       "      <td>None</td>\n",
       "      <td>CENTRE DE SOINS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10043 rows × 96 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          siren    nic           siret   dateDebut dateCreationEtablissement  \\\n",
       "9754  934302480  00017  93430248000017  2024-11-01                2024-11-01   \n",
       "5509  494498017  00040  49449801700040  2021-01-04                2021-01-04   \n",
       "5508  494422066  00030  49442206600030  2014-07-07                2014-07-07   \n",
       "5507  494390701  00022  49439070100022  2015-04-01                2015-04-01   \n",
       "5506  494260391  00045  49426039100045  2019-11-28                2019-11-28   \n",
       "...         ...    ...             ...         ...                       ...   \n",
       "6262  775665805  00468  77566580500468  2008-01-01                1996-12-25   \n",
       "6274  775683006  00362  77568300600362  2017-06-21                2017-06-21   \n",
       "6261  775663883  00020  77566388300020  2008-01-01                1900-01-01   \n",
       "268   313711038  00015  31371103800015  2008-01-01                1978-01-01   \n",
       "206   310227749  00010  31022774900010  2008-01-01                1900-01-01   \n",
       "\n",
       "     dateCreationUniteLegale dateFin  \\\n",
       "9754              2024-11-01    None   \n",
       "5509              2006-01-17    None   \n",
       "5508              2006-06-09    None   \n",
       "5507              2007-01-01    None   \n",
       "5506              2006-11-09    None   \n",
       "...                      ...     ...   \n",
       "6262              1900-01-01    None   \n",
       "6274              1900-01-01    None   \n",
       "6261              1900-01-01    None   \n",
       "268               1978-01-01    None   \n",
       "206               1900-01-01    None   \n",
       "\n",
       "                       denominationUniteLegale nomUniteLegale  \\\n",
       "9754                                      None          MAKNI   \n",
       "5509                                      None        HERAULT   \n",
       "5508                                      None         VENTRE   \n",
       "5507                                      None         KARRAZ   \n",
       "5506                                      None        BOTHNER   \n",
       "...                                        ...            ...   \n",
       "6262  COMPAGNIE FILLES CHARITE ST VINCENT PAUL           None   \n",
       "6274  FONDATION  SANTE DES ETUDIANTS DE FRANCE           None   \n",
       "6261                    INSTITUT ARTHUR VERNES           None   \n",
       "268                        FONDATION HAHNEMANN           None   \n",
       "206                            CENTRE DE SOINS           None   \n",
       "\n",
       "     prenomUsuelUniteLegale  ... codePostal2Etablissement  \\\n",
       "9754                  SAMIA  ...                     None   \n",
       "5509               NATHALIE  ...                     None   \n",
       "5508                  MARIE  ...                     None   \n",
       "5507                   WAEL  ...                     None   \n",
       "5506                LAURENT  ...                     None   \n",
       "...                     ...  ...                      ...   \n",
       "6262                   None  ...                     None   \n",
       "6274                   None  ...                     None   \n",
       "6261                   None  ...                     None   \n",
       "268                    None  ...                     None   \n",
       "206                    None  ...                     None   \n",
       "\n",
       "     libelleCommune2Etablissement libelleCommuneEtranger2Etablissement  \\\n",
       "9754                         None                                 None   \n",
       "5509                         None                                 None   \n",
       "5508                         None                                 None   \n",
       "5507                         None                                 None   \n",
       "5506                         None                                 None   \n",
       "...                           ...                                  ...   \n",
       "6262                         None                                 None   \n",
       "6274                         None                                 None   \n",
       "6261                         None                                 None   \n",
       "268                          None                                 None   \n",
       "206                          None                                 None   \n",
       "\n",
       "     distributionSpeciale2Etablissement codeCommune2Etablissement  \\\n",
       "9754                               None                      None   \n",
       "5509                               None                      None   \n",
       "5508                               None                      None   \n",
       "5507                               None                      None   \n",
       "5506                               None                      None   \n",
       "...                                 ...                       ...   \n",
       "6262                               None                      None   \n",
       "6274                               None                      None   \n",
       "6261                               None                      None   \n",
       "268                                None                      None   \n",
       "206                                None                      None   \n",
       "\n",
       "     codeCedex2Etablissement libelleCedex2Etablissement  \\\n",
       "9754                    None                       None   \n",
       "5509                    None                       None   \n",
       "5508                    None                       None   \n",
       "5507                    None                       None   \n",
       "5506                    None                       None   \n",
       "...                      ...                        ...   \n",
       "6262                    None                       None   \n",
       "6274                    None                       None   \n",
       "6261                    None                       None   \n",
       "268                     None                       None   \n",
       "206                     None                       None   \n",
       "\n",
       "     codePaysEtranger2Etablissement libellePaysEtranger2Etablissement  \\\n",
       "9754                           None                              None   \n",
       "5509                           None                              None   \n",
       "5508                           None                              None   \n",
       "5507                           None                              None   \n",
       "5506                           None                              None   \n",
       "...                             ...                               ...   \n",
       "6262                           None                              None   \n",
       "6274                           None                              None   \n",
       "6261                           None                              None   \n",
       "268                            None                              None   \n",
       "206                            None                              None   \n",
       "\n",
       "     enseigne3Etablissement  \n",
       "9754                   None  \n",
       "5509                   None  \n",
       "5508                   None  \n",
       "5507                   None  \n",
       "5506                   None  \n",
       "...                     ...  \n",
       "6262                   None  \n",
       "6274                   None  \n",
       "6261                   None  \n",
       "268                    None  \n",
       "206                    None  \n",
       "\n",
       "[10043 rows x 96 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doctors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "4c113265-2d15-499d-92d3-6564133ef0ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "# count general practioners by commun\n",
    "hdLegalStatus = doctors.groupby(['categorieJuridiqueUniteLegale'], dropna=True)['effectifsMinEtablissement'].agg(['mean', \"count\"])\n",
    "   \n",
    "hdLegalStatus[\"meanHeadcountLegalStatus\"] = hdLegalStatus[\"mean\"].apply(lambda x: _replace_nan(x, 1))\n",
    "\n",
    "hdLegalStatus[\"categorieJuridiqueUniteLegale\"] = hdLegalStatus.index\n",
    "hdLegalStatus.loc[hdLegalStatus[\"categorieJuridiqueUniteLegale\"] == \"1000\", \"meanHeadcountLegalStatus\"] = 1\n",
    "hdLegalStatus = hdLegalStatus.reset_index(drop=True)\n",
    "\n",
    "doctors = doctors.merge(hdLegalStatus, how = \"left\", on = \"categorieJuridiqueUniteLegale\").reset_index(drop=True)\n",
    "\n",
    "for r in doctors.index:\n",
    "    hdMin = doctors.loc[r, \"effectifsMinEtablissement\"]\n",
    "    if (hdMin is None) or (numpy.isnan(hdMin)):\n",
    "        doctors.loc[r, \"headcount\"] = doctors.loc[r, \"meanHeadcountLegalStatus\"]\n",
    "    else:\n",
    "        doctors.loc[r, \"headcount\"] = hdMin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "637cfb8f-f382-4282-ace1-224763059abc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# duplicates cleaning\n",
    "# normalization to avoid double counting\n",
    "doctors[\"headcountFinal\"] = doctors[\"headcount\"] / doctors.groupby(\"siren\", dropna=True)[\"headcount\"].transform(\"sum\")\n",
    "\n",
    "#visual check duplicates\n",
    "dupDoctors = doctors[doctors[\"siren\"].duplicated(keep=False)].reset_index(drop=True)\n",
    "dupDoctors.to_csv(\"dupDoctors.csv\")\n",
    "\n",
    "list_adress_var = [\"numeroVoieEtablissement\", \"typeVoieEtablissementLibelle\", \n",
    "                   \"libelleVoieEtablissement\", \"codePostalEtablissement\", \"libelleCommuneEtablissement\"]\n",
    "\n",
    "addressDupDoctors = doctors[doctors[list_adress_var].duplicated(keep=False)].reset_index(drop=True)\n",
    "addressDupDoctors = addressDupDoctors.sort_values(list_adress_var)\n",
    "addressDupDoctors.to_csv(\"addressDupDoctors.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "59052e2e-f568-4b8a-aaf1-5fe605297802",
   "metadata": {},
   "outputs": [],
   "source": [
    "doctors.sort_values([\"libelleCommuneEtablissement\"]).to_csv(\"doctorSortedCom.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "3216f59f-2765-4c99-844f-4aa1cab2bddb",
   "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></th>\n",
       "      <th>headcount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>libelleCommuneEtablissement</th>\n",
       "      <th>codePostalEtablissement</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ABLON-SUR-SEINE</th>\n",
       "      <th>94480</th>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALFORTVILLE</th>\n",
       "      <th>94140</th>\n",
       "      <td>29.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ANTONY</th>\n",
       "      <th>92160</th>\n",
       "      <td>131.406046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ARCUEIL</th>\n",
       "      <th>94110</th>\n",
       "      <td>14.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ASNIERES-SUR-SEINE</th>\n",
       "      <th>92600</th>\n",
       "      <td>67.629197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VILLETANEUSE</th>\n",
       "      <th>93430</th>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VILLIERS SUR MARNE</th>\n",
       "      <th>94350</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VILLIERS-SUR-MARNE</th>\n",
       "      <th>94350</th>\n",
       "      <td>13.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VINCENNES</th>\n",
       "      <th>94300</th>\n",
       "      <td>70.640814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VITRY-SUR-SEINE</th>\n",
       "      <th>94400</th>\n",
       "      <td>79.257402</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>189 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                      headcount\n",
       "libelleCommuneEtablissement codePostalEtablissement            \n",
       "ABLON-SUR-SEINE             94480                      2.000000\n",
       "ALFORTVILLE                 94140                     29.250000\n",
       "ANTONY                      92160                    131.406046\n",
       "ARCUEIL                     94110                     14.500000\n",
       "ASNIERES-SUR-SEINE          92600                     67.629197\n",
       "...                                                         ...\n",
       "VILLETANEUSE                93430                      5.000000\n",
       "VILLIERS SUR MARNE          94350                      1.000000\n",
       "VILLIERS-SUR-MARNE          94350                     13.250000\n",
       "VINCENNES                   94300                     70.640814\n",
       "VITRY-SUR-SEINE             94400                     79.257402\n",
       "\n",
       "[189 rows x 1 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count general practioners by commune\n",
    "doctorsCom = doctors.groupby(['libelleCommuneEtablissement', 'codePostalEtablissement'])['headcountFinal'].agg(['sum'])\n",
    "doctorsCom = doctorsCom.rename(columns = {\"sum\" : \"headcount\"})\n",
    "doctorsCom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "6e58bacd-6205-4336-9ac3-2c5cfe649583",
   "metadata": {},
   "outputs": [],
   "source": [
    "doctorsCom[\"libelleCommuneEtablissement\"] = doctorsCom.index.get_level_values(\"libelleCommuneEtablissement\")\n",
    "doctorsCom[\"codePostalEtablissement\"] = doctorsCom.index.get_level_values(\"codePostalEtablissement\")\n",
    "doctorsCom = doctorsCom.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "b53180e8-6883-4a31-bc04-ec54449f99b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Previously saved data has been used:\n",
      "/home/tfardet/.cache/pynsee/pynsee/9807b8fe5399f855c1c5cf4d46ae21a7.parquet\n",
      "Creation date: 2025-02-07, today\n",
      "Set update=True to get the most up-to-date data\n"
     ]
    }
   ],
   "source": [
    "import os, sys \n",
    "\n",
    "communes = get_geo_list(\"communes\")\n",
    "\n",
    "def _find_commune_identifier(com, dep, communes=communes):\n",
    "    \n",
    "    try:\n",
    "        list_com = [c.upper() for c in communes.TITLE.to_list()]    \n",
    "        communes[\"TITLE\"] = list_com    \n",
    "        communes = communes[communes[\"CODE_DEP\"] == dep].reset_index(drop=True)\n",
    "\n",
    "        match = difflib.get_close_matches(com.upper(), list_com)[0]\n",
    "\n",
    "        cog = communes[communes[\"TITLE\"] == match].reset_index(drop=True)\n",
    "        cog = cog.loc[0, \"CODE\"]\n",
    "    except:\n",
    "        cog = None\n",
    "    \n",
    "    return cog      \n",
    "  \n",
    "for r in doctorsCom.index:\n",
    "    dep = doctorsCom.loc[r, \"codePostalEtablissement\"][:2]\n",
    "    comName = doctorsCom.loc[r, \"libelleCommuneEtablissement\"]\n",
    "    doctorsCom.loc[r, \"insee_com\"] = _find_commune_identifier(comName, dep)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "955a8871-b750-43e9-9540-0ef627a299cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "comDep = com[com[\"insee_dep\" ].isin(list_dep)].reset_index(drop=True)\n",
    "doctorsCom2 = comDep.merge(doctorsCom, how = \"left\", on = \"insee_com\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "5df71d92-c399-4bd9-946f-ab78e5b9b016",
   "metadata": {},
   "outputs": [],
   "source": [
    "doctorsCom2[\"headcount\"] = doctorsCom2[\"headcount\"].apply(lambda x: _replace_nan(x, 0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "40603995-5f71-4c4b-bb3b-d17aaba54249",
   "metadata": {},
   "outputs": [],
   "source": [
    "doctorsCom2[\"headcount\"] = doctorsCom2[\"headcount\"].apply(lambda x: _replace_nan(x, 0))\n",
    "doctorsCom2[\"ratio\"] = 1000 * doctorsCom2[\"headcount\"] / doctorsCom2[\"population\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "c5251d62-246d-4f6d-8a98-9fef6e6b939a",
   "metadata": {},
   "outputs": [],
   "source": [
    "doctorsCom2 = doctorsCom2.reset_index(drop=True)\n",
    "\n",
    "doctorsCom4 = doctorsCom2[doctorsCom2.columns].merge(arrmun, left_on =\"libelleCommuneEtablissement\", right_on=\"nom_m2\", how=\"left\")\n",
    "for i in doctorsCom4.index:\n",
    "    if type(doctorsCom4.loc[i, 'geometry2']) in [MultiPolygon, Polygon]:\n",
    "        doctorsCom4.loc[i, 'geometry'] = doctorsCom4.loc[i, 'geometry2']\n",
    "        doctorsCom4.loc[i, \"ratio\"] = 1000 * doctorsCom4.loc[i,\"headcount\"] / doctorsCom4.loc[i,\"population2\"]\n",
    "\n",
    "del doctorsCom4[\"geometry2\"]\n",
    "doctorsCom2Map = gpd.GeoDataFrame(doctorsCom4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "bad9a940-ac74-44a1-8b83-f99cc2603e23",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "doctorsCom2Map = gpd.GeoDataFrame(doctorsCom4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "0a79c036-e8b1-4158-9813-a51fc5c27038",
   "metadata": {},
   "outputs": [],
   "source": [
    "# compute density ranges of GP\n",
    "doctorsCom2Map.loc[doctorsCom2Map.ratio < 1, 'range'] = \"< 0.2\"\n",
    "doctorsCom2Map.loc[doctorsCom2Map.ratio >= 5, 'range'] = \"> 5\"\n",
    "\n",
    "density_ranges = [0.2, 0.6, 1, 1.5, 2, 2.5, 3, 3.5, 5]\n",
    "list_ranges = []\n",
    "list_ranges.append( \"< 0.2\")\n",
    "\n",
    "for i in range(len(density_ranges)-1):\n",
    "    min_range = density_ranges[i]\n",
    "    max_range = density_ranges[i+1]\n",
    "    range_string = \"[{}, {}[\".format(min_range, max_range)\n",
    "    rows = (doctorsCom2Map.ratio >= min_range) & (doctorsCom2Map.ratio < max_range)\n",
    "    doctorsCom2Map.loc[rows, 'range'] = range_string\n",
    "    list_ranges.append(range_string)\n",
    "\n",
    "list_ranges.append(\"> 5\")\n",
    "\n",
    "doctorsCom2Map['range2'] = doctorsCom2Map['range'].astype(CategoricalDtype(categories=list_ranges, ordered=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "bc53d0e1-3770-4134-87e1-4d9061c21de5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make plot\n",
    "txt = 'In some cities, the data can be biased because some GP may team up in one office but they do not attend everyday'\n",
    "txt += '\\nConsequently, you should not considered this plot as official statistics'\n",
    "\n",
    "fig, ax = plt.subplots(1,1,figsize=[10,10])\n",
    "doctorsCom2Map.plot(column='range2', cmap=cm.viridis,\n",
    "    legend=True, ax=ax, \n",
    "    legend_kwds={'bbox_to_anchor': (1.1, 0.8)})\n",
    "ax.set_axis_off()\n",
    "ax.set(title='Distribution of doctors in parisian departements\\nunit: 1 doctor/ 1000 inhabitants')\n",
    "at = AnchoredText(txt, prop=dict(size=9), frameon=True, loc=4)\n",
    "ax.add_artist(at)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6e8be631-016e-4edd-a9cc-72e8a86e2697",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}