LITS_REA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " # Objectifs \n",
    " \n",
    " - Premiere exploration des sources de données SAE https://www.sae-diffusion.sante.gouv.fr/\n",
    " - Mise en contexte avec les données du recencement\n",
    " - carto rapide avec contour départementaux\n",
    " \n",
    " En l'absence de connaissance métiers fines sur la signification des différents types de lits en réaniation, on se contente de les traiter en aggrégat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Wikipedia\n",
    "\n",
    "> Une unité de soins intensifs (USI) est un service de l’hôpital qui prodigue des soins de suppléance à une défaillance aigüe. Elle est la structure médiane entre les services de réanimation (réa) et les unités de soins continus (USC), et prend en charge une défaillance unique sur une durée limitée. Elles constituent avec les USC les unités intermédiaires entre la réanimation et les services de soins généraux hospitaliers.\n",
    "\n",
    ">Le service des soins intensifs a pour mission de prendre en charge les patients en état critique, c'est-à-dire qui présentent une défaillance d’une fonction vitale, ou qui sont à risque de développer une complication sévère. Le service dispose de moyens techniques très spécialisés. Ceux-ci sont mis en œuvre de façon continue par une équipe multidisciplinaire afin de déceler, prévenir et corriger les déséquilibres aigus et présumés réversibles liés à l’affection sous-jacente (maladie, chirurgie, traumatisme, intoxication)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas \n",
    "import shapefile\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Chargement des données"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [],
   "source": [
    "nomencl_path  = Path(r'SAE 2018 Bases statistiques - formats SAS-CSV/Documentation/Nomenclatures_2018.xls')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "etab_path = Path('etablissement_finess.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [],
   "source": [
    "rea_path = Path(r'SAE 2018 Bases statistiques - formats SAS-CSV/Bases statistiques/Bases CSV/REA_2018r.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [],
   "source": [
    "capat_18 = Path(r'SAE 2018 Bases statistiques - formats SAS-CSV/Séries longues/Bases CSV/capact0018.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [],
   "source": [
    "var_path = Path(r\"SAE 2018 Bases statistiques - formats SAS-CSV/Documentation/Liste variables SAE 2018.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [],
   "source": [
    "pop_path = Path(r'estim-pop-dep-sexe-gca-1975-2020.xls')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [],
   "source": [
    "#pop_df = pd.read_excel(pop_path,skiprows=3,sheet_name='2020',header=[0,1])\n",
    "pop_df = pd.read_excel(pop_path,skiprows=4,sheet_name='2020')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "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>Unnamed: 0</th>\n",
       "      <th>Unnamed: 1</th>\n",
       "      <th>0 à 19 ans</th>\n",
       "      <th>20 à 39 ans</th>\n",
       "      <th>40 à 59 ans</th>\n",
       "      <th>60 à 74 ans</th>\n",
       "      <th>75 ans et plus</th>\n",
       "      <th>Total</th>\n",
       "      <th>0 à 19 ans.1</th>\n",
       "      <th>20 à 39 ans.1</th>\n",
       "      <th>40 à 59 ans.1</th>\n",
       "      <th>60 à 74 ans.1</th>\n",
       "      <th>75 ans et plus.1</th>\n",
       "      <th>Total.1</th>\n",
       "      <th>0 à 19 ans.2</th>\n",
       "      <th>20 à 39 ans.2</th>\n",
       "      <th>40 à 59 ans.2</th>\n",
       "      <th>60 à 74 ans.2</th>\n",
       "      <th>75 ans et plus.2</th>\n",
       "      <th>Total.2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01</td>\n",
       "      <td>Ain</td>\n",
       "      <td>167666.0</td>\n",
       "      <td>151084.0</td>\n",
       "      <td>179469.0</td>\n",
       "      <td>104453.0</td>\n",
       "      <td>54283.0</td>\n",
       "      <td>656955.0</td>\n",
       "      <td>86596.0</td>\n",
       "      <td>75213.0</td>\n",
       "      <td>89272.0</td>\n",
       "      <td>50205.0</td>\n",
       "      <td>22059.0</td>\n",
       "      <td>323345.0</td>\n",
       "      <td>81070.0</td>\n",
       "      <td>75871.0</td>\n",
       "      <td>90197.0</td>\n",
       "      <td>54248.0</td>\n",
       "      <td>32224.0</td>\n",
       "      <td>333610.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02</td>\n",
       "      <td>Aisne</td>\n",
       "      <td>129852.0</td>\n",
       "      <td>114042.0</td>\n",
       "      <td>135164.0</td>\n",
       "      <td>98046.0</td>\n",
       "      <td>48946.0</td>\n",
       "      <td>526050.0</td>\n",
       "      <td>66903.0</td>\n",
       "      <td>57238.0</td>\n",
       "      <td>67061.0</td>\n",
       "      <td>47243.0</td>\n",
       "      <td>18532.0</td>\n",
       "      <td>256977.0</td>\n",
       "      <td>62949.0</td>\n",
       "      <td>56804.0</td>\n",
       "      <td>68103.0</td>\n",
       "      <td>50803.0</td>\n",
       "      <td>30414.0</td>\n",
       "      <td>269073.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03</td>\n",
       "      <td>Allier</td>\n",
       "      <td>66659.0</td>\n",
       "      <td>61490.0</td>\n",
       "      <td>85304.0</td>\n",
       "      <td>72079.0</td>\n",
       "      <td>45783.0</td>\n",
       "      <td>331315.0</td>\n",
       "      <td>34168.0</td>\n",
       "      <td>31287.0</td>\n",
       "      <td>41610.0</td>\n",
       "      <td>33574.0</td>\n",
       "      <td>17573.0</td>\n",
       "      <td>158212.0</td>\n",
       "      <td>32491.0</td>\n",
       "      <td>30203.0</td>\n",
       "      <td>43694.0</td>\n",
       "      <td>38505.0</td>\n",
       "      <td>28210.0</td>\n",
       "      <td>173103.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04</td>\n",
       "      <td>Alpes-de-Haute-Provence</td>\n",
       "      <td>34281.0</td>\n",
       "      <td>30814.0</td>\n",
       "      <td>43423.0</td>\n",
       "      <td>35681.0</td>\n",
       "      <td>20998.0</td>\n",
       "      <td>165197.0</td>\n",
       "      <td>18016.0</td>\n",
       "      <td>15439.0</td>\n",
       "      <td>21116.0</td>\n",
       "      <td>17344.0</td>\n",
       "      <td>8697.0</td>\n",
       "      <td>80612.0</td>\n",
       "      <td>16265.0</td>\n",
       "      <td>15375.0</td>\n",
       "      <td>22307.0</td>\n",
       "      <td>18337.0</td>\n",
       "      <td>12301.0</td>\n",
       "      <td>84585.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05</td>\n",
       "      <td>Hautes-Alpes</td>\n",
       "      <td>30280.0</td>\n",
       "      <td>27715.0</td>\n",
       "      <td>37829.0</td>\n",
       "      <td>29047.0</td>\n",
       "      <td>16885.0</td>\n",
       "      <td>141756.0</td>\n",
       "      <td>15665.0</td>\n",
       "      <td>13942.0</td>\n",
       "      <td>18692.0</td>\n",
       "      <td>14094.0</td>\n",
       "      <td>6838.0</td>\n",
       "      <td>69231.0</td>\n",
       "      <td>14615.0</td>\n",
       "      <td>13773.0</td>\n",
       "      <td>19137.0</td>\n",
       "      <td>14953.0</td>\n",
       "      <td>10047.0</td>\n",
       "      <td>72525.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Unnamed: 0               Unnamed: 1  0 à 19 ans  20 à 39 ans  40 à 59 ans  \\\n",
       "0         01                      Ain    167666.0     151084.0     179469.0   \n",
       "1         02                    Aisne    129852.0     114042.0     135164.0   \n",
       "2         03                   Allier     66659.0      61490.0      85304.0   \n",
       "3         04  Alpes-de-Haute-Provence     34281.0      30814.0      43423.0   \n",
       "4         05             Hautes-Alpes     30280.0      27715.0      37829.0   \n",
       "\n",
       "   60 à 74 ans  75 ans et plus     Total  0 à 19 ans.1  20 à 39 ans.1  \\\n",
       "0     104453.0         54283.0  656955.0       86596.0        75213.0   \n",
       "1      98046.0         48946.0  526050.0       66903.0        57238.0   \n",
       "2      72079.0         45783.0  331315.0       34168.0        31287.0   \n",
       "3      35681.0         20998.0  165197.0       18016.0        15439.0   \n",
       "4      29047.0         16885.0  141756.0       15665.0        13942.0   \n",
       "\n",
       "   40 à 59 ans.1  60 à 74 ans.1  75 ans et plus.1   Total.1  0 à 19 ans.2  \\\n",
       "0        89272.0        50205.0           22059.0  323345.0       81070.0   \n",
       "1        67061.0        47243.0           18532.0  256977.0       62949.0   \n",
       "2        41610.0        33574.0           17573.0  158212.0       32491.0   \n",
       "3        21116.0        17344.0            8697.0   80612.0       16265.0   \n",
       "4        18692.0        14094.0            6838.0   69231.0       14615.0   \n",
       "\n",
       "   20 à 39 ans.2  40 à 59 ans.2  60 à 74 ans.2  75 ans et plus.2   Total.2  \n",
       "0        75871.0        90197.0        54248.0           32224.0  333610.0  \n",
       "1        56804.0        68103.0        50803.0           30414.0  269073.0  \n",
       "2        30203.0        43694.0        38505.0           28210.0  173103.0  \n",
       "3        15375.0        22307.0        18337.0           12301.0   84585.0  \n",
       "4        13773.0        19137.0        14953.0           10047.0   72525.0  "
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pop_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [],
   "source": [
    "pop_df = pop_df.iloc[:,:8].rename(columns={\"Unnamed: 0\":'DEP',\"Unnamed: 1\":'DEP_NAME'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {},
   "outputs": [],
   "source": [
    "var_df = pd.read_excel(var_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "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>Table SAS</th>\n",
       "      <th>Variable SAS</th>\n",
       "      <th>Label variable SAS</th>\n",
       "      <th>Variable Modalité</th>\n",
       "      <th>Valeur Modalité</th>\n",
       "      <th>Label</th>\n",
       "      <th>Bordereau</th>\n",
       "      <th>Case du questionnaire</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ID</td>\n",
       "      <td>BOR</td>\n",
       "      <td>Bordereau</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(Var SAS)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ID</td>\n",
       "      <td>AN</td>\n",
       "      <td>Année</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(Var SAS)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ID</td>\n",
       "      <td>FI</td>\n",
       "      <td>N° Finess</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(Var SAS)</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ID</td>\n",
       "      <td>RS</td>\n",
       "      <td>Raison sociale de l'entité interrogée</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ID1</td>\n",
       "      <td>ID1_A2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ID</td>\n",
       "      <td>RSCOM</td>\n",
       "      <td>Complément de raison sociale</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ID1</td>\n",
       "      <td>ID1_A3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Table SAS Variable SAS                     Label variable SAS  \\\n",
       "0        ID          BOR                              Bordereau   \n",
       "1        ID           AN                                  Année   \n",
       "2        ID           FI                              N° Finess   \n",
       "3        ID           RS  Raison sociale de l'entité interrogée   \n",
       "4        ID        RSCOM           Complément de raison sociale   \n",
       "\n",
       "  Variable Modalité Valeur Modalité Label  Bordereau Case du questionnaire  \n",
       "0               NaN             NaN   NaN  (Var SAS)                   NaN  \n",
       "1               NaN             NaN   NaN  (Var SAS)                   NaN  \n",
       "2               NaN             NaN   NaN  (Var SAS)                   NaN  \n",
       "3               NaN             NaN   NaN        ID1                ID1_A2  \n",
       "4               NaN             NaN   NaN        ID1                ID1_A3  "
      ]
     },
     "execution_count": 214,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "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>FINESS</th>\n",
       "      <th>Raison sociale</th>\n",
       "      <th>Commune</th>\n",
       "      <th>Statut Juridique</th>\n",
       "      <th>Région</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>010000024</td>\n",
       "      <td>010000024 - CENTRE HOSPITALIER DE FLEYRIAT</td>\n",
       "      <td>BOURG-EN-BRESSE</td>\n",
       "      <td>Public</td>\n",
       "      <td>84 - Auvergne-Rhône-Alpes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>010000032</td>\n",
       "      <td>010000032 - CENTRE HOSPITALIER DE BELLEY</td>\n",
       "      <td>BELLEY</td>\n",
       "      <td>Public</td>\n",
       "      <td>84 - Auvergne-Rhône-Alpes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>010000065</td>\n",
       "      <td>010000065 - CH DE TREVOUX - MONTPENSIER</td>\n",
       "      <td>TREVOUX</td>\n",
       "      <td>Public</td>\n",
       "      <td>84 - Auvergne-Rhône-Alpes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>010000081</td>\n",
       "      <td>010000081 - CENTRE HOSPITALIER DU PAYS DE GEX</td>\n",
       "      <td>GEX</td>\n",
       "      <td>Public</td>\n",
       "      <td>84 - Auvergne-Rhône-Alpes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>010000099</td>\n",
       "      <td>010000099 - CENTRE HOSPITALIER DE MEXIMIEUX</td>\n",
       "      <td>MEXIMIEUX</td>\n",
       "      <td>Public</td>\n",
       "      <td>84 - Auvergne-Rhône-Alpes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      FINESS                                 Raison sociale          Commune  \\\n",
       "0  010000024     010000024 - CENTRE HOSPITALIER DE FLEYRIAT  BOURG-EN-BRESSE   \n",
       "1  010000032       010000032 - CENTRE HOSPITALIER DE BELLEY           BELLEY   \n",
       "2  010000065        010000065 - CH DE TREVOUX - MONTPENSIER          TREVOUX   \n",
       "3  010000081  010000081 - CENTRE HOSPITALIER DU PAYS DE GEX              GEX   \n",
       "4  010000099    010000099 - CENTRE HOSPITALIER DE MEXIMIEUX        MEXIMIEUX   \n",
       "\n",
       "  Statut Juridique                     Région  \n",
       "0           Public  84 - Auvergne-Rhône-Alpes  \n",
       "1           Public  84 - Auvergne-Rhône-Alpes  \n",
       "2           Public  84 - Auvergne-Rhône-Alpes  \n",
       "3           Public  84 - Auvergne-Rhône-Alpes  \n",
       "4           Public  84 - Auvergne-Rhône-Alpes  "
      ]
     },
     "execution_count": 215,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "etab_df = pd.read_excel(etab_path,skiprows=4)\n",
    "etab_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4032,)"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "etab_df.FINESS.unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "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>BOR</th>\n",
       "      <th>AN</th>\n",
       "      <th>FI</th>\n",
       "      <th>FI_EJ</th>\n",
       "      <th>UNI</th>\n",
       "      <th>LIT</th>\n",
       "      <th>JLI</th>\n",
       "      <th>SEJ</th>\n",
       "      <th>PAS</th>\n",
       "      <th>PAS0</th>\n",
       "      <th>...</th>\n",
       "      <th>ETP_INFNS</th>\n",
       "      <th>EFFPL_AID</th>\n",
       "      <th>EFFPA_AID</th>\n",
       "      <th>ETP_AID</th>\n",
       "      <th>EFFPL_KINE</th>\n",
       "      <th>EFFPA_KINE</th>\n",
       "      <th>ETP_KINE</th>\n",
       "      <th>EFFPL_APNM</th>\n",
       "      <th>EFFPA_APNM</th>\n",
       "      <th>ETP_APNM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010780054</td>\n",
       "      <td>REAADU</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4380.0</td>\n",
       "      <td>961</td>\n",
       "      <td>1023.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>...</td>\n",
       "      <td>27.47</td>\n",
       "      <td>14.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.36</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010780054</td>\n",
       "      <td>SITOT</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3024.0</td>\n",
       "      <td>822</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010780054</td>\n",
       "      <td>SIUNV</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1460.0</td>\n",
       "      <td>458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010780054</td>\n",
       "      <td>SURVADU</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2190.0</td>\n",
       "      <td>541</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>7.07</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010780054</td>\n",
       "      <td>SURVENF</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1460.0</td>\n",
       "      <td>342</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   BOR    AN         FI      FI_EJ      UNI   LIT     JLI  SEJ     PAS   PAS0  \\\n",
       "0  REA  2018  010000024  010780054   REAADU  12.0  4380.0  961  1023.0  102.0   \n",
       "1  REA  2018  010000024  010780054    SITOT   4.0  3024.0  822     NaN    NaN   \n",
       "2  REA  2018  010000024  010780054    SIUNV   4.0  1460.0  458     NaN    NaN   \n",
       "3  REA  2018  010000024  010780054  SURVADU   6.0  2190.0  541     NaN    NaN   \n",
       "4  REA  2018  010000024  010780054  SURVENF   4.0  1460.0  342     NaN    NaN   \n",
       "\n",
       "   ...  ETP_INFNS  EFFPL_AID  EFFPA_AID  ETP_AID  EFFPL_KINE  EFFPA_KINE  \\\n",
       "0  ...      27.47       14.0        6.0    16.36         NaN         NaN   \n",
       "1  ...        NaN        NaN        NaN      NaN         NaN         NaN   \n",
       "2  ...        NaN        NaN        NaN      NaN         NaN         NaN   \n",
       "3  ...       7.07        8.0        1.0     6.62         NaN         NaN   \n",
       "4  ...        NaN        NaN        NaN      NaN         NaN         NaN   \n",
       "\n",
       "   ETP_KINE  EFFPL_APNM  EFFPA_APNM  ETP_APNM  \n",
       "0       NaN         1.0         NaN       1.0  \n",
       "1       NaN         NaN         NaN       NaN  \n",
       "2       NaN         NaN         NaN       NaN  \n",
       "3       NaN         NaN         NaN       NaN  \n",
       "4       NaN         NaN         NaN       NaN  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rea_df = pd.read_csv(rea_path,sep=';')\n",
    "rea_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "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>fi</th>\n",
       "      <th>an</th>\n",
       "      <th>fi_ej</th>\n",
       "      <th>rs</th>\n",
       "      <th>stj</th>\n",
       "      <th>cat</th>\n",
       "      <th>dep</th>\n",
       "      <th>reg</th>\n",
       "      <th>anc_reg</th>\n",
       "      <th>espic</th>\n",
       "      <th>...</th>\n",
       "      <th>LIT</th>\n",
       "      <th>SEJHC</th>\n",
       "      <th>JOU</th>\n",
       "      <th>PLA</th>\n",
       "      <th>SEJHP</th>\n",
       "      <th>PAS</th>\n",
       "      <th>SEJACC</th>\n",
       "      <th>SEHEM</th>\n",
       "      <th>SERAD</th>\n",
       "      <th>SECHI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10000495</td>\n",
       "      <td>2005</td>\n",
       "      <td>1.0783e+07</td>\n",
       "      <td>C.P.A. BOURG EN BRESSE</td>\n",
       "      <td>61.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>1</td>\n",
       "      <td>84.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>424.0</td>\n",
       "      <td>4283.0</td>\n",
       "      <td>145112.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>20943.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10000495</td>\n",
       "      <td>2010</td>\n",
       "      <td>1.0783e+07</td>\n",
       "      <td>C.P.A. BOURG EN BRESSE</td>\n",
       "      <td>61.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>1</td>\n",
       "      <td>84.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>409.0</td>\n",
       "      <td>6781.0</td>\n",
       "      <td>135981.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>42635.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10000495</td>\n",
       "      <td>2011</td>\n",
       "      <td>1.0783e+07</td>\n",
       "      <td>C.P.A. BOURG EN BRESSE</td>\n",
       "      <td>61.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>1</td>\n",
       "      <td>84.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>386.0</td>\n",
       "      <td>6327.0</td>\n",
       "      <td>134649.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>18518.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10000495</td>\n",
       "      <td>2012</td>\n",
       "      <td>1.0783e+07</td>\n",
       "      <td>C.P.A. BOURG EN BRESSE</td>\n",
       "      <td>61.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>1</td>\n",
       "      <td>84.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>...</td>\n",
       "      <td>386.0</td>\n",
       "      <td>6021.0</td>\n",
       "      <td>134222.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>18875.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10000495</td>\n",
       "      <td>2013</td>\n",
       "      <td>1.0783e+07</td>\n",
       "      <td>C.P.A. BOURG EN BRESSE</td>\n",
       "      <td>61.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>1</td>\n",
       "      <td>84.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>...</td>\n",
       "      <td>371.0</td>\n",
       "      <td>6463.0</td>\n",
       "      <td>131801.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>17576.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         fi    an       fi_ej                      rs   stj    cat dep   reg  \\\n",
       "0  10000495  2005  1.0783e+07  C.P.A. BOURG EN BRESSE  61.0  292.0   1  84.0   \n",
       "1  10000495  2010  1.0783e+07  C.P.A. BOURG EN BRESSE  61.0  292.0   1  84.0   \n",
       "2  10000495  2011  1.0783e+07  C.P.A. BOURG EN BRESSE  61.0  292.0   1  84.0   \n",
       "3  10000495  2012  1.0783e+07  C.P.A. BOURG EN BRESSE  61.0  292.0   1  84.0   \n",
       "4  10000495  2013  1.0783e+07  C.P.A. BOURG EN BRESSE  61.0  292.0   1  84.0   \n",
       "\n",
       "   anc_reg  espic  ...    LIT   SEJHC       JOU    PLA    SEJHP  PAS  SEJACC  \\\n",
       "0     82.0    NaN  ...  424.0  4283.0  145112.0  109.0  20943.0  NaN     NaN   \n",
       "1     82.0    NaN  ...  409.0  6781.0  135981.0  124.0  42635.0  NaN     NaN   \n",
       "2     82.0    NaN  ...  386.0  6327.0  134649.0  124.0  18518.0  NaN     NaN   \n",
       "3     82.0    6.0  ...  386.0  6021.0  134222.0  124.0  18875.0  NaN     NaN   \n",
       "4     82.0    6.0  ...  371.0  6463.0  131801.0  124.0  17576.0  NaN     NaN   \n",
       "\n",
       "   SEHEM  SERAD  SECHI  \n",
       "0    NaN    NaN    NaN  \n",
       "1    NaN    NaN    NaN  \n",
       "2    NaN    NaN    NaN  \n",
       "3    NaN    NaN    NaN  \n",
       "4    NaN    NaN    NaN  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cap_df = pd.read_csv(capat_18,sep=';',encoding='latin-1')\n",
    "cap_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['fi', 'an', 'fi_ej', 'rs', 'stj', 'cat', 'dep', 'reg', 'anc_reg',\n",
       "       'espic', 'cominsee', 'grp', 'DISCI', 'DISCIPLINE', 'LIT', 'SEJHC',\n",
       "       'JOU', 'PLA', 'SEJHP', 'PAS', 'SEJACC', 'SEHEM', 'SERAD', 'SECHI'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cap_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,\n",
       "       21, 22, 23, 24, 25, 26, 27, 28, 29, '29', '2A', '2B', '30', '31',\n",
       "       '32', '33', '34', '35', '36', '37', '38', '39', '40', '41', '42',\n",
       "       '43', '44', '45', '46', '47', nan, '48', '49', '50', 50, 51, 52,\n",
       "       53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69,\n",
       "       70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0,\n",
       "       81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0,\n",
       "       92.0, '92', '93', '94', '95', '9A', '9B', '9C', '9D', '9F'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cap_df.dep.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Le numéro finess qui peremt d'identifier un établissement de santé"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(812,)"
      ]
     },
     "execution_count": 224,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rea_df.FI.unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['REAADU', 'SITOT', 'SIUNV', 'SURVADU', 'SURVENF', 'USIC', 'AUTSI',\n",
       "       'REAENF'], dtype=object)"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rea_df.UNI.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "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>code_insee</th>\n",
       "      <th>nom</th>\n",
       "      <th>nuts3</th>\n",
       "      <th>wikipedia</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>91</td>\n",
       "      <td>Essonne</td>\n",
       "      <td>FR104</td>\n",
       "      <td>b'fr:Essonne (d\\xe9partement)'</td>\n",
       "      <td>POLYGON ((2.392328496135124 48.33592916158408,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>92</td>\n",
       "      <td>Hauts-de-Seine</td>\n",
       "      <td>FR105</td>\n",
       "      <td>fr:Hauts-de-Seine</td>\n",
       "      <td>POLYGON ((2.319926260528716 48.7707501725293, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>93</td>\n",
       "      <td>Seine-Saint-Denis</td>\n",
       "      <td>FR106</td>\n",
       "      <td>fr:Seine-Saint-Denis</td>\n",
       "      <td>POLYGON ((2.418994715849627 48.84938657374529,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>94</td>\n",
       "      <td>Val-de-Marne</td>\n",
       "      <td>FR107</td>\n",
       "      <td>fr:Val-de-Marne</td>\n",
       "      <td>POLYGON ((2.414497659705796 48.71780178979385,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>95</td>\n",
       "      <td>Val-d'Oise</td>\n",
       "      <td>FR108</td>\n",
       "      <td>fr:Val-d'Oise</td>\n",
       "      <td>POLYGON ((1.796736299947983 49.07195815991548,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>971</td>\n",
       "      <td>Guadeloupe</td>\n",
       "      <td>FR910</td>\n",
       "      <td>fr:Guadeloupe</td>\n",
       "      <td>(POLYGON ((-61.61402941320713 15.8395477602560...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>972</td>\n",
       "      <td>Martinique</td>\n",
       "      <td>FR920</td>\n",
       "      <td>fr:Martinique</td>\n",
       "      <td>(POLYGON ((-60.86880349267127 14.3909057613284...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>973</td>\n",
       "      <td>Guyane</td>\n",
       "      <td>FR930</td>\n",
       "      <td>fr:Guyane</td>\n",
       "      <td>(POLYGON ((-52.58463013337558 5.28309137731124...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>974</td>\n",
       "      <td>b'La R\\xe9union'</td>\n",
       "      <td>FR940</td>\n",
       "      <td>b'fr:La R\\xe9union'</td>\n",
       "      <td>(POLYGON ((55.77885611721816 -21.3629143474847...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>976</td>\n",
       "      <td>Mayotte</td>\n",
       "      <td>None</td>\n",
       "      <td>fr:Mayotte</td>\n",
       "      <td>(POLYGON ((45.13666936665152 -13.0039774513961...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    code_insee                nom  nuts3                       wikipedia  \\\n",
       "91          91            Essonne  FR104  b'fr:Essonne (d\\xe9partement)'   \n",
       "92          92     Hauts-de-Seine  FR105               fr:Hauts-de-Seine   \n",
       "93          93  Seine-Saint-Denis  FR106            fr:Seine-Saint-Denis   \n",
       "94          94       Val-de-Marne  FR107                 fr:Val-de-Marne   \n",
       "95          95         Val-d'Oise  FR108                   fr:Val-d'Oise   \n",
       "96         971         Guadeloupe  FR910                   fr:Guadeloupe   \n",
       "97         972         Martinique  FR920                   fr:Martinique   \n",
       "98         973             Guyane  FR930                       fr:Guyane   \n",
       "99         974   b'La R\\xe9union'  FR940             b'fr:La R\\xe9union'   \n",
       "100        976            Mayotte   None                      fr:Mayotte   \n",
       "\n",
       "                                              geometry  \n",
       "91   POLYGON ((2.392328496135124 48.33592916158408,...  \n",
       "92   POLYGON ((2.319926260528716 48.7707501725293, ...  \n",
       "93   POLYGON ((2.418994715849627 48.84938657374529,...  \n",
       "94   POLYGON ((2.414497659705796 48.71780178979385,...  \n",
       "95   POLYGON ((1.796736299947983 49.07195815991548,...  \n",
       "96   (POLYGON ((-61.61402941320713 15.8395477602560...  \n",
       "97   (POLYGON ((-60.86880349267127 14.3909057613284...  \n",
       "98   (POLYGON ((-52.58463013337558 5.28309137731124...  \n",
       "99   (POLYGON ((55.77885611721816 -21.3629143474847...  \n",
       "100  (POLYGON ((45.13666936665152 -13.0039774513961...  "
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# chargement des coutours dépertementaux OSM \n",
    "gdf = geopandas.read_file('departements-20140306-100m.shp')\n",
    "gdf.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Conversion en Lambert 93 et filtrage sur France Métropolitaine "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf = gdf.to_crs(2154)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf = gdf[:96]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Croisements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [],
   "source": [
    "# jointure sur les établissements\n",
    "rea_df = pd.merge(rea_df,etab_df,left_on='FI',right_on='FINESS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "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>BOR</th>\n",
       "      <th>AN</th>\n",
       "      <th>FI</th>\n",
       "      <th>FI_EJ</th>\n",
       "      <th>UNI</th>\n",
       "      <th>LIT</th>\n",
       "      <th>JLI</th>\n",
       "      <th>SEJ</th>\n",
       "      <th>PAS</th>\n",
       "      <th>PAS0</th>\n",
       "      <th>...</th>\n",
       "      <th>ETP_KINE</th>\n",
       "      <th>EFFPL_APNM</th>\n",
       "      <th>EFFPA_APNM</th>\n",
       "      <th>ETP_APNM</th>\n",
       "      <th>FINESS</th>\n",
       "      <th>Raison sociale</th>\n",
       "      <th>Commune</th>\n",
       "      <th>Statut Juridique</th>\n",
       "      <th>Région</th>\n",
       "      <th>DEP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010780054</td>\n",
       "      <td>REAADU</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4380.0</td>\n",
       "      <td>961</td>\n",
       "      <td>1023.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010000024 - CENTRE HOSPITALIER DE FLEYRIAT</td>\n",
       "      <td>BOURG-EN-BRESSE</td>\n",
       "      <td>Public</td>\n",
       "      <td>84 - Auvergne-Rhône-Alpes</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010780054</td>\n",
       "      <td>SITOT</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3024.0</td>\n",
       "      <td>822</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010000024 - CENTRE HOSPITALIER DE FLEYRIAT</td>\n",
       "      <td>BOURG-EN-BRESSE</td>\n",
       "      <td>Public</td>\n",
       "      <td>84 - Auvergne-Rhône-Alpes</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010780054</td>\n",
       "      <td>SIUNV</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1460.0</td>\n",
       "      <td>458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010000024 - CENTRE HOSPITALIER DE FLEYRIAT</td>\n",
       "      <td>BOURG-EN-BRESSE</td>\n",
       "      <td>Public</td>\n",
       "      <td>84 - Auvergne-Rhône-Alpes</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010780054</td>\n",
       "      <td>SURVADU</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2190.0</td>\n",
       "      <td>541</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010000024 - CENTRE HOSPITALIER DE FLEYRIAT</td>\n",
       "      <td>BOURG-EN-BRESSE</td>\n",
       "      <td>Public</td>\n",
       "      <td>84 - Auvergne-Rhône-Alpes</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010780054</td>\n",
       "      <td>SURVENF</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1460.0</td>\n",
       "      <td>342</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>010000024</td>\n",
       "      <td>010000024 - CENTRE HOSPITALIER DE FLEYRIAT</td>\n",
       "      <td>BOURG-EN-BRESSE</td>\n",
       "      <td>Public</td>\n",
       "      <td>84 - Auvergne-Rhône-Alpes</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   BOR    AN         FI      FI_EJ      UNI   LIT     JLI  SEJ     PAS   PAS0  \\\n",
       "0  REA  2018  010000024  010780054   REAADU  12.0  4380.0  961  1023.0  102.0   \n",
       "1  REA  2018  010000024  010780054    SITOT   4.0  3024.0  822     NaN    NaN   \n",
       "2  REA  2018  010000024  010780054    SIUNV   4.0  1460.0  458     NaN    NaN   \n",
       "3  REA  2018  010000024  010780054  SURVADU   6.0  2190.0  541     NaN    NaN   \n",
       "4  REA  2018  010000024  010780054  SURVENF   4.0  1460.0  342     NaN    NaN   \n",
       "\n",
       "   ...  ETP_KINE  EFFPL_APNM  EFFPA_APNM  ETP_APNM     FINESS  \\\n",
       "0  ...       NaN         1.0         NaN       1.0  010000024   \n",
       "1  ...       NaN         NaN         NaN       NaN  010000024   \n",
       "2  ...       NaN         NaN         NaN       NaN  010000024   \n",
       "3  ...       NaN         NaN         NaN       NaN  010000024   \n",
       "4  ...       NaN         NaN         NaN       NaN  010000024   \n",
       "\n",
       "                               Raison sociale          Commune  \\\n",
       "0  010000024 - CENTRE HOSPITALIER DE FLEYRIAT  BOURG-EN-BRESSE   \n",
       "1  010000024 - CENTRE HOSPITALIER DE FLEYRIAT  BOURG-EN-BRESSE   \n",
       "2  010000024 - CENTRE HOSPITALIER DE FLEYRIAT  BOURG-EN-BRESSE   \n",
       "3  010000024 - CENTRE HOSPITALIER DE FLEYRIAT  BOURG-EN-BRESSE   \n",
       "4  010000024 - CENTRE HOSPITALIER DE FLEYRIAT  BOURG-EN-BRESSE   \n",
       "\n",
       "   Statut Juridique                     Région  DEP  \n",
       "0            Public  84 - Auvergne-Rhône-Alpes   01  \n",
       "1            Public  84 - Auvergne-Rhône-Alpes   01  \n",
       "2            Public  84 - Auvergne-Rhône-Alpes   01  \n",
       "3            Public  84 - Auvergne-Rhône-Alpes   01  \n",
       "4            Public  84 - Auvergne-Rhône-Alpes   01  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 234,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rea_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "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>BOR</th>\n",
       "      <th>AN</th>\n",
       "      <th>FI</th>\n",
       "      <th>FI_EJ</th>\n",
       "      <th>UNI</th>\n",
       "      <th>LIT</th>\n",
       "      <th>JLI</th>\n",
       "      <th>SEJ</th>\n",
       "      <th>PAS</th>\n",
       "      <th>PAS0</th>\n",
       "      <th>...</th>\n",
       "      <th>ETP_KINE</th>\n",
       "      <th>EFFPL_APNM</th>\n",
       "      <th>EFFPA_APNM</th>\n",
       "      <th>ETP_APNM</th>\n",
       "      <th>FINESS</th>\n",
       "      <th>Raison sociale</th>\n",
       "      <th>Commune</th>\n",
       "      <th>Statut Juridique</th>\n",
       "      <th>Région</th>\n",
       "      <th>DEP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>2A0000022</td>\n",
       "      <td>2A0000014</td>\n",
       "      <td>REAADU</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3650.0</td>\n",
       "      <td>406</td>\n",
       "      <td>422.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.00</td>\n",
       "      <td>2A0000022</td>\n",
       "      <td>2A0000022 - CH ND LA MISERICORDE</td>\n",
       "      <td>AJACCIO</td>\n",
       "      <td>Public</td>\n",
       "      <td>94 - Corse</td>\n",
       "      <td>2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>2A0000022</td>\n",
       "      <td>2A0000014</td>\n",
       "      <td>SITOT</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4015.0</td>\n",
       "      <td>922</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2A0000022</td>\n",
       "      <td>2A0000022 - CH ND LA MISERICORDE</td>\n",
       "      <td>AJACCIO</td>\n",
       "      <td>Public</td>\n",
       "      <td>94 - Corse</td>\n",
       "      <td>2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>2A0000022</td>\n",
       "      <td>2A0000014</td>\n",
       "      <td>SIUNV</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1095.0</td>\n",
       "      <td>208</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2A0000022</td>\n",
       "      <td>2A0000022 - CH ND LA MISERICORDE</td>\n",
       "      <td>AJACCIO</td>\n",
       "      <td>Public</td>\n",
       "      <td>94 - Corse</td>\n",
       "      <td>2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>2A0000022</td>\n",
       "      <td>2A0000014</td>\n",
       "      <td>SURVADU</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1825.0</td>\n",
       "      <td>426</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.00</td>\n",
       "      <td>2A0000022</td>\n",
       "      <td>2A0000022 - CH ND LA MISERICORDE</td>\n",
       "      <td>AJACCIO</td>\n",
       "      <td>Public</td>\n",
       "      <td>94 - Corse</td>\n",
       "      <td>2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>2A0000022</td>\n",
       "      <td>2A0000014</td>\n",
       "      <td>USIC</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2920.0</td>\n",
       "      <td>714</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2A0000022</td>\n",
       "      <td>2A0000022 - CH ND LA MISERICORDE</td>\n",
       "      <td>AJACCIO</td>\n",
       "      <td>Public</td>\n",
       "      <td>94 - Corse</td>\n",
       "      <td>2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>2A0000139</td>\n",
       "      <td>2A0000063</td>\n",
       "      <td>SURVADU</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2920.0</td>\n",
       "      <td>401</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2A0000139</td>\n",
       "      <td>2A0000139 - CLINISUD</td>\n",
       "      <td>AJACCIO</td>\n",
       "      <td>Privé lucratif</td>\n",
       "      <td>94 - Corse</td>\n",
       "      <td>2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>2A0000154</td>\n",
       "      <td>2A0000204</td>\n",
       "      <td>AUTSI</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1460.0</td>\n",
       "      <td>209</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.50</td>\n",
       "      <td>2A0000154</td>\n",
       "      <td>2A0000154 - CLINIQUE DU SUD DE LA CORSE</td>\n",
       "      <td>PORTO-VECCHIO</td>\n",
       "      <td>Privé lucratif</td>\n",
       "      <td>94 - Corse</td>\n",
       "      <td>2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>2A0000154</td>\n",
       "      <td>2A0000204</td>\n",
       "      <td>SITOT</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1460.0</td>\n",
       "      <td>209</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2A0000154</td>\n",
       "      <td>2A0000154 - CLINIQUE DU SUD DE LA CORSE</td>\n",
       "      <td>PORTO-VECCHIO</td>\n",
       "      <td>Privé lucratif</td>\n",
       "      <td>94 - Corse</td>\n",
       "      <td>2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>2B0000012</td>\n",
       "      <td>2B0000020</td>\n",
       "      <td>REAADU</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2920.0</td>\n",
       "      <td>303</td>\n",
       "      <td>309.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.89</td>\n",
       "      <td>2B0000012</td>\n",
       "      <td>2B0000012 - CENTRE HOSPITALIER DE BASTIA</td>\n",
       "      <td>BASTIA</td>\n",
       "      <td>Public</td>\n",
       "      <td>94 - Corse</td>\n",
       "      <td>2B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>2B0000012</td>\n",
       "      <td>2B0000020</td>\n",
       "      <td>SITOT</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2190.0</td>\n",
       "      <td>760</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2B0000012</td>\n",
       "      <td>2B0000012 - CENTRE HOSPITALIER DE BASTIA</td>\n",
       "      <td>BASTIA</td>\n",
       "      <td>Public</td>\n",
       "      <td>94 - Corse</td>\n",
       "      <td>2B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>2B0000012</td>\n",
       "      <td>2B0000020</td>\n",
       "      <td>SURVADU</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1460.0</td>\n",
       "      <td>261</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2B0000012</td>\n",
       "      <td>2B0000012 - CENTRE HOSPITALIER DE BASTIA</td>\n",
       "      <td>BASTIA</td>\n",
       "      <td>Public</td>\n",
       "      <td>94 - Corse</td>\n",
       "      <td>2B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>REA</td>\n",
       "      <td>2018</td>\n",
       "      <td>2B0000012</td>\n",
       "      <td>2B0000020</td>\n",
       "      <td>USIC</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2190.0</td>\n",
       "      <td>760</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.29</td>\n",
       "      <td>2B0000012</td>\n",
       "      <td>2B0000012 - CENTRE HOSPITALIER DE BASTIA</td>\n",
       "      <td>BASTIA</td>\n",
       "      <td>Public</td>\n",
       "      <td>94 - Corse</td>\n",
       "      <td>2B</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     BOR    AN         FI      FI_EJ      UNI   LIT     JLI  SEJ    PAS  PAS0  \\\n",
       "463  REA  2018  2A0000022  2A0000014   REAADU  10.0  3650.0  406  422.0  32.0   \n",
       "464  REA  2018  2A0000022  2A0000014    SITOT  11.0  4015.0  922    NaN   NaN   \n",
       "465  REA  2018  2A0000022  2A0000014    SIUNV   3.0  1095.0  208    NaN   NaN   \n",
       "466  REA  2018  2A0000022  2A0000014  SURVADU   5.0  1825.0  426    NaN   NaN   \n",
       "467  REA  2018  2A0000022  2A0000014     USIC   8.0  2920.0  714    NaN   NaN   \n",
       "468  REA  2018  2A0000139  2A0000063  SURVADU   8.0  2920.0  401    NaN   NaN   \n",
       "469  REA  2018  2A0000154  2A0000204    AUTSI   4.0  1460.0  209    NaN   NaN   \n",
       "470  REA  2018  2A0000154  2A0000204    SITOT   4.0  1460.0  209    NaN   NaN   \n",
       "471  REA  2018  2B0000012  2B0000020   REAADU   8.0  2920.0  303  309.0  14.0   \n",
       "472  REA  2018  2B0000012  2B0000020    SITOT   6.0  2190.0  760    NaN   NaN   \n",
       "473  REA  2018  2B0000012  2B0000020  SURVADU   4.0  1460.0  261    NaN   NaN   \n",
       "474  REA  2018  2B0000012  2B0000020     USIC   6.0  2190.0  760    NaN   NaN   \n",
       "\n",
       "     ...  ETP_KINE  EFFPL_APNM  EFFPA_APNM  ETP_APNM     FINESS  \\\n",
       "463  ...       NaN         9.0         NaN      9.00  2A0000022   \n",
       "464  ...       NaN         NaN         NaN       NaN  2A0000022   \n",
       "465  ...       NaN         NaN         NaN       NaN  2A0000022   \n",
       "466  ...       NaN         4.0         NaN      4.00  2A0000022   \n",
       "467  ...       NaN         0.0         NaN      0.00  2A0000022   \n",
       "468  ...       NaN         2.0         NaN      2.00  2A0000139   \n",
       "469  ...       1.0         NaN         1.0      0.50  2A0000154   \n",
       "470  ...       NaN         NaN         NaN       NaN  2A0000154   \n",
       "471  ...       0.0         4.0         3.0      4.89  2B0000012   \n",
       "472  ...       NaN         NaN         NaN       NaN  2B0000012   \n",
       "473  ...       0.0         0.0         0.0      0.00  2B0000012   \n",
       "474  ...       0.0         0.0         2.0      0.29  2B0000012   \n",
       "\n",
       "                               Raison sociale        Commune  \\\n",
       "463          2A0000022 - CH ND LA MISERICORDE        AJACCIO   \n",
       "464          2A0000022 - CH ND LA MISERICORDE        AJACCIO   \n",
       "465          2A0000022 - CH ND LA MISERICORDE        AJACCIO   \n",
       "466          2A0000022 - CH ND LA MISERICORDE        AJACCIO   \n",
       "467          2A0000022 - CH ND LA MISERICORDE        AJACCIO   \n",
       "468                      2A0000139 - CLINISUD        AJACCIO   \n",
       "469   2A0000154 - CLINIQUE DU SUD DE LA CORSE  PORTO-VECCHIO   \n",
       "470   2A0000154 - CLINIQUE DU SUD DE LA CORSE  PORTO-VECCHIO   \n",
       "471  2B0000012 - CENTRE HOSPITALIER DE BASTIA         BASTIA   \n",
       "472  2B0000012 - CENTRE HOSPITALIER DE BASTIA         BASTIA   \n",
       "473  2B0000012 - CENTRE HOSPITALIER DE BASTIA         BASTIA   \n",
       "474  2B0000012 - CENTRE HOSPITALIER DE BASTIA         BASTIA   \n",
       "\n",
       "     Statut Juridique      Région  DEP  \n",
       "463            Public  94 - Corse   2A  \n",
       "464            Public  94 - Corse   2A  \n",
       "465            Public  94 - Corse   2A  \n",
       "466            Public  94 - Corse   2A  \n",
       "467            Public  94 - Corse   2A  \n",
       "468    Privé lucratif  94 - Corse   2A  \n",
       "469    Privé lucratif  94 - Corse   2A  \n",
       "470    Privé lucratif  94 - Corse   2A  \n",
       "471            Public  94 - Corse   2B  \n",
       "472            Public  94 - Corse   2B  \n",
       "473            Public  94 - Corse   2B  \n",
       "474            Public  94 - Corse   2B  \n",
       "\n",
       "[12 rows x 38 columns]"
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lits en Corse\n",
    "rea_df[rea_df.FI.str.startswith('2A')|rea_df.FI.str.startswith('2B')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [],
   "source": [
    "rea_df['DEP'] = rea_df.FI.str[:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Aggrégation départementale\n",
    "rea_dep = rea_df.groupby('DEP').LIT.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Jointure avec la population \n",
    "rea_dep = pd.merge(rea_dep,pop_df,left_index=True,right_on='DEP')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Ration pour 100k habitants\n",
    "rea_dep['ratio'] = rea_dep.eval('LIT/Total*1e5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf = gdf.rename(columns = {'code_insee':'DEP'})#.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Jointure avec les contours\n",
    "gdf = gdf.join(rea_dep.set_index('DEP'),on='DEP')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax= gdf.plot(column='ratio',cmap='RdPu',legend=True,figsize=[15,15],vmin=0)\n",
    "ax.set_title('Nombre de lits en réanimation par 100 000 habitants ',fontdict={'fontsize':15})\n",
    "plt.axis('off')\n",
    "ax.text(x=200000,y=6000000,s='Sources : \\n  https://www.sae-diffusion.sante.gouv.fr (lits) \\n  Insee recencement (population) \\n  Open Street map (countours départementaux)')\n",
    "ax.figure.savefig('lit_ratio.png',dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax= gdf.plot(column='LIT',cmap='Blues',legend=True,figsize=[15,15],vmin=0)\n",
    "ax.set_title('Nombre de lits en réanimation par départements',fontdict={'fontsize':15})\n",
    "plt.axis('off')\n",
    "ax.text(x=200000,y=6000000,s='Sources : \\n  https://www.sae-diffusion.sante.gouv.fr (lits) \\n  Insee recencement (population) \\n  Open Street Map (countours départementaux)')\n",
    "ax.figure.savefig('lit_DEP.png',dpi=150)"
   ]
  }
 ],
 "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": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}