diagnostics-de-performance-energetique.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d56bab32",
   "metadata": {},
   "source": [
    "# Défi open data : Diagnostics de Performance Energétique"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84b1334c",
   "metadata": {},
   "source": [
    "Avec l’accélération du changement climatique et la hausse des prix de l’énergie, **la sobriété énergétique est au cœur des préoccupations des Français**. Aussi, afin d’éclairer et inspirer les acteurs de la transition écologique, Enedis propose des analyses et chiffres clés pour éclairer et orienter les décisions. \n",
    "\n",
    "En particulier, un des leviers de réduction des gaz à effets de serre (GES) et des consommations énergétiques est **l’amélioration de la performance énergétique des bâtiments**. Ainsi, l’un des objectifs de [la Stratégie Bas Carbone](https://www.ecologie.gouv.fr/strategie-nationale-bas-carbone-snbc) (feuille de route de la France pour réduire ses émissions de GES et atteindre la neutralité carbone en 2050), est de diminuer d‘ici 2030 les émissions de gaz à effets de serre des bâtiments.\n",
    "\n",
    "Dans ce contexte, **le Diagnostic de Performance Energétique (DPE)** permet d’évaluer la performance énergétique et climatique d’un bâtiment. Il consiste en une étiquette pouvant aller de A à G pour chaque logement ou bâtiment, qui évalue sa consommation d’énergie et son impact en terme d’émission de GES. Il sert notamment à identifier les passoires énergétiques (étiquettes F et G du DPE, c’est-à-dire les logements qui consomment le plus d’énergie et/ou émettent le plus de gaz à effet de serre). Il a pour objectif d’informer l’acquéreur ou le locataire sur la « valeur verte », de recommander des travaux à réaliser pour l’améliorer et d’estimer ses charges énergétiques. De plus, la mise en location de ces passoires thermiques sera progressivement interdite (interdiction pour les bâtiments notés G+ au 1er janvier 2023, qui sera étendue par la suite). On trouvera plus d’informations [ici](https://www.ecologie.gouv.fr/diagnostic-performance-energetique-dpe).\n",
    "\n",
    "Cependant, les consommations électriques affichées dans les DPE **ne reposent souvent pas sur des consommations réelles mesurées mais sur des calculs conventionnels** ([méthode 3CL](https://www.effy.fr/renovation-energetique/zoom-sur-la-methode-de-calcul-en-2022)), c’est-à-dire des critères standardisés ne dépendant pas du style de vie et du taux d'occupation des maisons ou des appartements. Il est donc intéressant de confronter ces données au réel, d’une part **afin de produire des estimations de l’impact de la classe énergétique DPE sur les consommations électriques en « conditions réelles »** mais aussi d’autre part **de mesurer l’ampleur de la variabilité dues aux comportements et modes de vie**.\n",
    "\n",
    "**La problématique**\n",
    "\n",
    "**Ce projet vous propose d’éclairer et motiver les décisions de rénovations en quantifiant l’impact d’une amélioration de DPE (qui peut en particulier être liée à des travaux de rénovation) sur les consommations électriques.**   \n",
    "\n",
    "Beaucoup de données ouvertes sont mises à disposition pour vous permettre de répondre à ce sujet. Plusieurs jeux de données ont déjà été chargés dans cet environnement ([cf. liste](https://defis.data.gouv.fr/defis/65b76f15d7874915c8e41298/)) et vous pouvez bien évidemment en ajouter d’autres selon vos besoins.\n",
    "\n",
    "Une fois vos travaux terminés, partagez-les avec l’ensemble de la communauté [en publiant une réutilisation sur data.gouv.fr](https://guides.data.gouv.fr/guide-data.gouv.fr/reutilisations) !"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb9da240",
   "metadata": {},
   "source": [
    "# Importer des données\n",
    "Nous mettons à disposition une fonction utilitaire qui permet de charger la majorité des ressources de data.gouv.fr à partir de leur identifiant sur le site (exemple : `\"2876a346-d50c-4911-934e-19ee07b0e503\"`). Vous pouvez l'utiliser comme suit :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f57ac69a",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Automobile et deux roues</td>\n",
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       "      <td>BOULEVARD DES FRERES VOISIN</td>\n",
       "      <td>92040</td>\n",
       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>01 75 60 95 12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>jean-christophe.crous@rentacar.fr</td>\n",
       "      <td>Ouvert du lundi au vendredi de 8h30 à 12h et d...</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.8277333432822, 2.270227017120727</td>\n",
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       "      <td>CYCLABLE</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>issy-les-moulineaux@cyclable.com</td>\n",
       "      <td>Ouvert du mardi au samedi de 10h à 14h et de 1...</td>\n",
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       "      <td>Automobile et deux roues</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>01 41 90 07 00</td>\n",
       "      <td>01 41 90 94 47</td>\n",
       "      <td>www.ad.fr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Du lundi au vendredi de 8h30 à 12h30 et de 13h...</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.820546507475875, 2.2625417111928754</td>\n",
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       "      <td>Scoot N'Go</td>\n",
       "      <td>Automobile et deux roues</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>AVENUE VICTOR CRESSON</td>\n",
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       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>01 40 93 48 91</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.scootngo.fr</td>\n",
       "      <td>contact@scootngo.fr</td>\n",
       "      <td>Ouvert du lundi au vendredi de 8h30 à 19h et l...</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>BIS</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ouvert du lundi au vendredi de 9h à 19h et le ...</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.82875902138736, 2.2642560785721173</td>\n",
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       "      <td>Automobile et deux roues</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>icp@orange.fr</td>\n",
       "      <td>Ouvert le lundi de 16h à 19h, du mardi au vend...</td>\n",
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       "      <td>The Garage</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>the garage92@yahoo.fr</td>\n",
       "      <td>Ouvert du lundi au vendredi de 9h à 12h30 et d...</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.81942388704212, 2.2611274796996756</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Atelier 500</td>\n",
       "      <td>Automobile et deux roues</td>\n",
       "      <td>18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>VILLA MARGUERITE</td>\n",
       "      <td>92040</td>\n",
       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ouvert du lundi au vendredi de 9h à 19h, uniqu...</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.830291911346485, 2.2834877600521333</td>\n",
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       "      <th>12</th>\n",
       "      <td>Issy auto services</td>\n",
       "      <td>Automobile et deux roues</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AVENUE DU PROFESSEUR CALMETTE</td>\n",
       "      <td>92040</td>\n",
       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>01 46 42 09 18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.issyautoservices.fr</td>\n",
       "      <td>issyautoservices@free.fr</td>\n",
       "      <td>Ouvert du lundi au vendredi de 8h30 à 12h30 et...</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.81485433643013, 2.2716708494152793</td>\n",
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       "      <td>Alltricks</td>\n",
       "      <td>Automobile et deux roues</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RUE AUGUSTE GERVAIS</td>\n",
       "      <td>92040</td>\n",
       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>01 30 48 52 82</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.alltricks.fr</td>\n",
       "      <td>issy@alltricks.com</td>\n",
       "      <td>Ouvert du mardi au samedi de 10h à 19h30</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.82351752998185, 2.273203171593353</td>\n",
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       "      <td>Auto Pyramide</td>\n",
       "      <td>Automobile et deux roues</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BOULEVARD VOLTAIRE</td>\n",
       "      <td>92040</td>\n",
       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>01 40 93 59 60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>auto.pyramide@gmail.com</td>\n",
       "      <td>Ouvert du lundi au vendredi de 8h30 à 12h et d...</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.82626148397578, 2.2798739172103804</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Station Service Total Acces</td>\n",
       "      <td>Automobile et deux roues</td>\n",
       "      <td>18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BOULEVARD DES FRERES VOISIN</td>\n",
       "      <td>92040</td>\n",
       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>01 40 93 04 08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.total.fr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ouvert 7j/7 24h/24, le lavage finit à 21h et l...</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.82755854624029, 2.2715679890503457</td>\n",
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       "      <th>16</th>\n",
       "      <td>Speedy Europe</td>\n",
       "      <td>Automobile et deux roues</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ROND POINT VICTOR HUGO</td>\n",
       "      <td>92040</td>\n",
       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>01 45 54 18 64</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.speedy.fr</td>\n",
       "      <td>ps0046@speedy.fr</td>\n",
       "      <td>Ouvert du lundi au samedi de 8h à 19h (17h le ...</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.828103785797815, 2.2734570474013553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Missyon lavage</td>\n",
       "      <td>Automobile et deux roues</td>\n",
       "      <td>94</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RUE CAMILLE DESMOULINS</td>\n",
       "      <td>92040</td>\n",
       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>01 46 38 88 59</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>missyonlavage@gmail.com</td>\n",
       "      <td>Ouvert 7/7 jours de 6h à 22h</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.82808023106047, 2.261976776305101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Avis</td>\n",
       "      <td>Automobile et deux roues</td>\n",
       "      <td>7</td>\n",
       "      <td>BIS</td>\n",
       "      <td>RUE ERNEST RENAN</td>\n",
       "      <td>92040</td>\n",
       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>01 46 48 68 43</td>\n",
       "      <td>01 46 48 88 31</td>\n",
       "      <td>www.avis.fr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ouvert du lundi à vendredi de 8h à 12h30 et 13...</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.82957944404781, 2.283769853532797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Midas</td>\n",
       "      <td>Automobile et deux roues</td>\n",
       "      <td>61</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BOULEVARD RODIN</td>\n",
       "      <td>92040</td>\n",
       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>01 85 74 08 05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>centre.midas.fr/1088531</td>\n",
       "      <td>1599@midasfrance.net</td>\n",
       "      <td>Ouvert du lundi au vendredi de 08h à 19h, le s...</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.81942351488182, 2.2598378555969467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Issy garage Ladoux</td>\n",
       "      <td>Automobile et deux roues</td>\n",
       "      <td>143</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AVENUE DE VERDUN</td>\n",
       "      <td>92040</td>\n",
       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>01 41 46 15 50</td>\n",
       "      <td>01 40 95 76 38</td>\n",
       "      <td>www.issyladoux.fr</td>\n",
       "      <td>issy.garage.ladoux@wanadoo.fr</td>\n",
       "      <td>Ouvert du lundi au jeudi de 7h30 à 12h30 et de...</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.81787670578338, 2.2508195039173557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Garage Sulli Ste Jons</td>\n",
       "      <td>Automobile et deux roues</td>\n",
       "      <td>71</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RUE DU GOUVERNEUR GENERAL EBOUE</td>\n",
       "      <td>92040</td>\n",
       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>01 46 48 81 00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>garage.sulli@wanadoo.fr</td>\n",
       "      <td>Ouvert du lundi au vendredi de 8h à 12h et de ...</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.82478118329269, 2.266129915751921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Julie Auto</td>\n",
       "      <td>Automobile et deux roues</td>\n",
       "      <td>25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RUE D'ESTIENNE D'ORVES</td>\n",
       "      <td>92040</td>\n",
       "      <td>ISSY-LES-MOULINEAUX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Non</td>\n",
       "      <td>48.82345467947318, 2.2668290793521124</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    nom_commerce                 categorie num_loc rep_loc  \\\n",
       "0               Garage du marché  Automobile et deux roues      21     NaN   \n",
       "1   Station Service Esso Express  Automobile et deux roues     115     NaN   \n",
       "2                     Garage VSM  Automobile et deux roues  15 BIS     NaN   \n",
       "3                     RENT A CAR  Automobile et deux roues      14     NaN   \n",
       "4                       CYCLABLE  Automobile et deux roues      75     NaN   \n",
       "5                   Garage Rolin  Automobile et deux roues      10     NaN   \n",
       "6                     Scoot N'Go  Automobile et deux roues      57     NaN   \n",
       "7      Piaggio Avventura Scooter  Automobile et deux roues      79     NaN   \n",
       "8                      Doc'biker  Automobile et deux roues      10     BIS   \n",
       "9              Issy C'est Permis  Automobile et deux roues      59     NaN   \n",
       "10                    The Garage  Automobile et deux roues      28     NaN   \n",
       "11                   Atelier 500  Automobile et deux roues      18     NaN   \n",
       "12            Issy auto services  Automobile et deux roues       6     NaN   \n",
       "13                     Alltricks  Automobile et deux roues       7     NaN   \n",
       "14                 Auto Pyramide  Automobile et deux roues      12     NaN   \n",
       "15   Station Service Total Acces  Automobile et deux roues      18     NaN   \n",
       "16                 Speedy Europe  Automobile et deux roues      12     NaN   \n",
       "17                Missyon lavage  Automobile et deux roues      94     NaN   \n",
       "18                          Avis  Automobile et deux roues       7     BIS   \n",
       "19                         Midas  Automobile et deux roues      61     NaN   \n",
       "20            Issy garage Ladoux  Automobile et deux roues     143     NaN   \n",
       "21         Garage Sulli Ste Jons  Automobile et deux roues      71     NaN   \n",
       "22                    Julie Auto  Automobile et deux roues      25     NaN   \n",
       "\n",
       "                       localisation  code_insee              commune  \\\n",
       "0                  RUE DE L'EGALITE       92040  ISSY-LES-MOULINEAUX   \n",
       "1       AVENUE DU GENERAL DE GAULLE       92040  ISSY-LES-MOULINEAUX   \n",
       "2               RUE AUGUSTE GERVAIS       92040  ISSY-LES-MOULINEAUX   \n",
       "3       BOULEVARD DES FRERES VOISIN       92040  ISSY-LES-MOULINEAUX   \n",
       "4             AVENUE VICTOR CRESSON       92040  ISSY-LES-MOULINEAUX   \n",
       "5                   BOULEVARD RODIN       92040  ISSY-LES-MOULINEAUX   \n",
       "6             AVENUE VICTOR CRESSON       92040  ISSY-LES-MOULINEAUX   \n",
       "7                BOULEVARD GALLIENI       92040  ISSY-LES-MOULINEAUX   \n",
       "8               RUE ROUGET DE LISLE       92040  ISSY-LES-MOULINEAUX   \n",
       "9            RUE DU GENERAL LECLERC       92040  ISSY-LES-MOULINEAUX   \n",
       "10                RUE DE LA DEFENSE       92040  ISSY-LES-MOULINEAUX   \n",
       "11                 VILLA MARGUERITE       92040  ISSY-LES-MOULINEAUX   \n",
       "12    AVENUE DU PROFESSEUR CALMETTE       92040  ISSY-LES-MOULINEAUX   \n",
       "13              RUE AUGUSTE GERVAIS       92040  ISSY-LES-MOULINEAUX   \n",
       "14               BOULEVARD VOLTAIRE       92040  ISSY-LES-MOULINEAUX   \n",
       "15      BOULEVARD DES FRERES VOISIN       92040  ISSY-LES-MOULINEAUX   \n",
       "16           ROND POINT VICTOR HUGO       92040  ISSY-LES-MOULINEAUX   \n",
       "17           RUE CAMILLE DESMOULINS       92040  ISSY-LES-MOULINEAUX   \n",
       "18                 RUE ERNEST RENAN       92040  ISSY-LES-MOULINEAUX   \n",
       "19                  BOULEVARD RODIN       92040  ISSY-LES-MOULINEAUX   \n",
       "20                 AVENUE DE VERDUN       92040  ISSY-LES-MOULINEAUX   \n",
       "21  RUE DU GOUVERNEUR GENERAL EBOUE       92040  ISSY-LES-MOULINEAUX   \n",
       "22           RUE D'ESTIENNE D'ORVES       92040  ISSY-LES-MOULINEAUX   \n",
       "\n",
       "         telephone       telecopie                  site_web  \\\n",
       "0   01 46 42 25 28             NaN                       NaN   \n",
       "1              NaN             NaN               www.esso.fr   \n",
       "2   01 79 75 38 38             NaN                       NaN   \n",
       "3   01 75 60 95 12             NaN                       NaN   \n",
       "4   09 74 04 02 96             NaN                       NaN   \n",
       "5   01 41 90 07 00  01 41 90 94 47                 www.ad.fr   \n",
       "6   01 40 93 48 91             NaN           www.scootngo.fr   \n",
       "7   01 47 36 14 14             NaN  www.avventura-scooter.fr   \n",
       "8   01 46 62 63 64             NaN                       NaN   \n",
       "9   01 41 08 02 99             NaN                       NaN   \n",
       "10  01 46 45 92 29             NaN                       NaN   \n",
       "11             NaN             NaN                       NaN   \n",
       "12  01 46 42 09 18             NaN   www.issyautoservices.fr   \n",
       "13  01 30 48 52 82             NaN          www.alltricks.fr   \n",
       "14  01 40 93 59 60             NaN                       NaN   \n",
       "15  01 40 93 04 08             NaN              www.total.fr   \n",
       "16  01 45 54 18 64             NaN             www.speedy.fr   \n",
       "17  01 46 38 88 59             NaN                       NaN   \n",
       "18  01 46 48 68 43  01 46 48 88 31               www.avis.fr   \n",
       "19  01 85 74 08 05             NaN   centre.midas.fr/1088531   \n",
       "20  01 41 46 15 50  01 40 95 76 38         www.issyladoux.fr   \n",
       "21  01 46 48 81 00             NaN                       NaN   \n",
       "22             NaN             NaN                       NaN   \n",
       "\n",
       "                             courriel  \\\n",
       "0       garagedumarche92130@orange.fr   \n",
       "1                                 NaN   \n",
       "2                                 NaN   \n",
       "3   jean-christophe.crous@rentacar.fr   \n",
       "4    issy-les-moulineaux@cyclable.com   \n",
       "5                                 NaN   \n",
       "6                 contact@scootngo.fr   \n",
       "7                                 NaN   \n",
       "8                                 NaN   \n",
       "9                       icp@orange.fr   \n",
       "10              the garage92@yahoo.fr   \n",
       "11                                NaN   \n",
       "12           issyautoservices@free.fr   \n",
       "13                 issy@alltricks.com   \n",
       "14            auto.pyramide@gmail.com   \n",
       "15                                NaN   \n",
       "16                   ps0046@speedy.fr   \n",
       "17            missyonlavage@gmail.com   \n",
       "18                                NaN   \n",
       "19               1599@midasfrance.net   \n",
       "20      issy.garage.ladoux@wanadoo.fr   \n",
       "21            garage.sulli@wanadoo.fr   \n",
       "22                                NaN   \n",
       "\n",
       "                                             horaires vacance  \\\n",
       "0   Ouvert du lundi au vendredi de 8h à 12h et de ...     Non   \n",
       "1                          Libre-service 24h/24, 7j/7     Non   \n",
       "2   Ouvert du lundi au vendredi de 8h30 à 12h30 et...     Non   \n",
       "3   Ouvert du lundi au vendredi de 8h30 à 12h et d...     Non   \n",
       "4   Ouvert du mardi au samedi de 10h à 14h et de 1...     Non   \n",
       "5   Du lundi au vendredi de 8h30 à 12h30 et de 13h...     Non   \n",
       "6   Ouvert du lundi au vendredi de 8h30 à 19h et l...     Non   \n",
       "7   Ouvert du lundi et samedi de 9h à 12h30 et de ...     Non   \n",
       "8   Ouvert du lundi au vendredi de 9h à 19h et le ...     Non   \n",
       "9   Ouvert le lundi de 16h à 19h, du mardi au vend...     Non   \n",
       "10  Ouvert du lundi au vendredi de 9h à 12h30 et d...     Non   \n",
       "11  Ouvert du lundi au vendredi de 9h à 19h, uniqu...     Non   \n",
       "12  Ouvert du lundi au vendredi de 8h30 à 12h30 et...     Non   \n",
       "13           Ouvert du mardi au samedi de 10h à 19h30     Non   \n",
       "14  Ouvert du lundi au vendredi de 8h30 à 12h et d...     Non   \n",
       "15  Ouvert 7j/7 24h/24, le lavage finit à 21h et l...     Non   \n",
       "16  Ouvert du lundi au samedi de 8h à 19h (17h le ...     Non   \n",
       "17                       Ouvert 7/7 jours de 6h à 22h     Non   \n",
       "18  Ouvert du lundi à vendredi de 8h à 12h30 et 13...     Non   \n",
       "19  Ouvert du lundi au vendredi de 08h à 19h, le s...     Non   \n",
       "20  Ouvert du lundi au jeudi de 7h30 à 12h30 et de...     Non   \n",
       "21  Ouvert du lundi au vendredi de 8h à 12h et de ...     Non   \n",
       "22                                                NaN     Non   \n",
       "\n",
       "                              geo_point_2d  \n",
       "0   48.818648834819946, 2.2633031407140276  \n",
       "1    48.81759677193093, 2.2768987464754495  \n",
       "2    48.822262887332045, 2.273637253465276  \n",
       "3      48.8277333432822, 2.270227017120727  \n",
       "4   48.821069323807215, 2.2614328971193873  \n",
       "5   48.820546507475875, 2.2625417111928754  \n",
       "6     48.82150488309963, 2.263445739740745  \n",
       "7   48.823517886755624, 2.2679991749202992  \n",
       "8    48.82875902138736, 2.2642560785721173  \n",
       "9   48.824227095340845, 2.2737369221110453  \n",
       "10   48.81942388704212, 2.2611274796996756  \n",
       "11  48.830291911346485, 2.2834877600521333  \n",
       "12   48.81485433643013, 2.2716708494152793  \n",
       "13    48.82351752998185, 2.273203171593353  \n",
       "14   48.82626148397578, 2.2798739172103804  \n",
       "15   48.82755854624029, 2.2715679890503457  \n",
       "16  48.828103785797815, 2.2734570474013553  \n",
       "17    48.82808023106047, 2.261976776305101  \n",
       "18    48.82957944404781, 2.283769853532797  \n",
       "19   48.81942351488182, 2.2598378555969467  \n",
       "20   48.81787670578338, 2.2508195039173557  \n",
       "21    48.82478118329269, 2.266129915751921  \n",
       "22   48.82345467947318, 2.2668290793521124  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from utils import load_table_from_resource_id\n",
    "\n",
    "df = load_table_from_resource_id('4b762a24-7ce8-49c9-88bf-a70c87a62e94')\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97ea1f97",
   "metadata": {},
   "source": [
    "# Exemple de réalisation : consommation électrique annuelle par commune"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e766dc0d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4288d0d3",
   "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>annee</th>\n",
       "      <th>code_iris</th>\n",
       "      <th>nom_iris</th>\n",
       "      <th>numero_de_voie</th>\n",
       "      <th>indice_de_repetition</th>\n",
       "      <th>type_de_voie</th>\n",
       "      <th>libelle_de_voie</th>\n",
       "      <th>code_commune</th>\n",
       "      <th>nom_commune</th>\n",
       "      <th>segment_de_client</th>\n",
       "      <th>nombre_de_logements</th>\n",
       "      <th>consommation_annuelle_totale_de_l_adresse_mwh</th>\n",
       "      <th>consommation_annuelle_moyenne_par_site_de_l_adresse_mwh</th>\n",
       "      <th>consommation_annuelle_moyenne_de_la_commune_mwh</th>\n",
       "      <th>adresse</th>\n",
       "      <th>tri_des_adresses</th>\n",
       "      <th>code_epci</th>\n",
       "      <th>code_departement</th>\n",
       "      <th>code_region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022</td>\n",
       "      <td>372611401</td>\n",
       "      <td>Saint-Symphorien 1</td>\n",
       "      <td>103.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AVENUE</td>\n",
       "      <td>ANDRE MAGINOT</td>\n",
       "      <td>37261</td>\n",
       "      <td>Tours</td>\n",
       "      <td>RESIDENTIEL</td>\n",
       "      <td>27</td>\n",
       "      <td>35.112</td>\n",
       "      <td>1.300</td>\n",
       "      <td>2.484</td>\n",
       "      <td>103 AVENUE ANDRE MAGINOT</td>\n",
       "      <td>360001</td>\n",
       "      <td>243700754</td>\n",
       "      <td>37</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022</td>\n",
       "      <td>372611403</td>\n",
       "      <td>Saint-Symphorien 3</td>\n",
       "      <td>75.0</td>\n",
       "      <td>T</td>\n",
       "      <td>AVENUE</td>\n",
       "      <td>ANDRE MAGINOT</td>\n",
       "      <td>37261</td>\n",
       "      <td>Tours</td>\n",
       "      <td>RESIDENTIEL</td>\n",
       "      <td>10</td>\n",
       "      <td>14.086</td>\n",
       "      <td>1.409</td>\n",
       "      <td>2.484</td>\n",
       "      <td>75 T AVENUE ANDRE MAGINOT</td>\n",
       "      <td>360006</td>\n",
       "      <td>243700754</td>\n",
       "      <td>37</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022</td>\n",
       "      <td>372611301</td>\n",
       "      <td>Rochepinard</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>JARDIN</td>\n",
       "      <td>ANDREA GABRIELI</td>\n",
       "      <td>37261</td>\n",
       "      <td>Tours</td>\n",
       "      <td>RESIDENTIEL</td>\n",
       "      <td>17</td>\n",
       "      <td>23.782</td>\n",
       "      <td>1.399</td>\n",
       "      <td>2.484</td>\n",
       "      <td>6 JARDIN ANDREA GABRIELI</td>\n",
       "      <td>360012</td>\n",
       "      <td>243700754</td>\n",
       "      <td>37</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022</td>\n",
       "      <td>372611503</td>\n",
       "      <td>Sainte-Radegonde 1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RUE</td>\n",
       "      <td>ANGELIQUE DU COUDRAY</td>\n",
       "      <td>37261</td>\n",
       "      <td>Tours</td>\n",
       "      <td>RESIDENTIEL</td>\n",
       "      <td>38</td>\n",
       "      <td>20.139</td>\n",
       "      <td>0.530</td>\n",
       "      <td>2.484</td>\n",
       "      <td>5 RUE ANGELIQUE DU COUDRAY</td>\n",
       "      <td>360017</td>\n",
       "      <td>243700754</td>\n",
       "      <td>37</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022</td>\n",
       "      <td>372610902</td>\n",
       "      <td>Rives du Cher 2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MAIL</td>\n",
       "      <td>ANTOINE BOURDELLE</td>\n",
       "      <td>37261</td>\n",
       "      <td>Tours</td>\n",
       "      <td>RESIDENTIEL</td>\n",
       "      <td>50</td>\n",
       "      <td>112.685</td>\n",
       "      <td>2.254</td>\n",
       "      <td>2.484</td>\n",
       "      <td>2 MAIL ANTOINE BOURDELLE</td>\n",
       "      <td>360027</td>\n",
       "      <td>243700754</td>\n",
       "      <td>37</td>\n",
       "      <td>24</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997643</th>\n",
       "      <td>2021</td>\n",
       "      <td>920040201</td>\n",
       "      <td>Magenta I</td>\n",
       "      <td>120.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AVENUE</td>\n",
       "      <td>HENRI BARBUSSE</td>\n",
       "      <td>92004</td>\n",
       "      <td>Asnières-sur-Seine</td>\n",
       "      <td>RESIDENTIEL</td>\n",
       "      <td>11</td>\n",
       "      <td>37.076</td>\n",
       "      <td>3.371</td>\n",
       "      <td>3.343</td>\n",
       "      <td>120 AVENUE HENRI BARBUSSE</td>\n",
       "      <td>19949</td>\n",
       "      <td>200054781</td>\n",
       "      <td>92</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997644</th>\n",
       "      <td>2021</td>\n",
       "      <td>920040201</td>\n",
       "      <td>Magenta I</td>\n",
       "      <td>11.0</td>\n",
       "      <td>B</td>\n",
       "      <td>RUE</td>\n",
       "      <td>HENRI MOREAU</td>\n",
       "      <td>92004</td>\n",
       "      <td>Asnières-sur-Seine</td>\n",
       "      <td>RESIDENTIEL</td>\n",
       "      <td>12</td>\n",
       "      <td>43.589</td>\n",
       "      <td>3.632</td>\n",
       "      <td>3.343</td>\n",
       "      <td>11 B RUE HENRI MOREAU</td>\n",
       "      <td>19972</td>\n",
       "      <td>200054781</td>\n",
       "      <td>92</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997645</th>\n",
       "      <td>2021</td>\n",
       "      <td>920040703</td>\n",
       "      <td>Nord III</td>\n",
       "      <td>46.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RUE</td>\n",
       "      <td>HENRI POINCARE</td>\n",
       "      <td>92004</td>\n",
       "      <td>Asnières-sur-Seine</td>\n",
       "      <td>RESIDENTIEL</td>\n",
       "      <td>10</td>\n",
       "      <td>22.575</td>\n",
       "      <td>2.257</td>\n",
       "      <td>3.343</td>\n",
       "      <td>46 RUE HENRI POINCARE</td>\n",
       "      <td>19992</td>\n",
       "      <td>200054781</td>\n",
       "      <td>92</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997646</th>\n",
       "      <td>2021</td>\n",
       "      <td>920040703</td>\n",
       "      <td>Nord III</td>\n",
       "      <td>44.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RUE</td>\n",
       "      <td>HENRI POINCARE</td>\n",
       "      <td>92004</td>\n",
       "      <td>Asnières-sur-Seine</td>\n",
       "      <td>RESIDENTIEL</td>\n",
       "      <td>10</td>\n",
       "      <td>16.214</td>\n",
       "      <td>1.621</td>\n",
       "      <td>3.343</td>\n",
       "      <td>44 RUE HENRI POINCARE</td>\n",
       "      <td>19993</td>\n",
       "      <td>200054781</td>\n",
       "      <td>92</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997647</th>\n",
       "      <td>2021</td>\n",
       "      <td>920040701</td>\n",
       "      <td>Nord I</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RUE</td>\n",
       "      <td>HENRI POINCARE</td>\n",
       "      <td>92004</td>\n",
       "      <td>Asnières-sur-Seine</td>\n",
       "      <td>RESIDENTIEL</td>\n",
       "      <td>10</td>\n",
       "      <td>19.482</td>\n",
       "      <td>1.948</td>\n",
       "      <td>3.343</td>\n",
       "      <td>39 RUE HENRI POINCARE</td>\n",
       "      <td>19999</td>\n",
       "      <td>200054781</td>\n",
       "      <td>92</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1997648 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         annee  code_iris            nom_iris  numero_de_voie  \\\n",
       "0         2022  372611401  Saint-Symphorien 1           103.0   \n",
       "1         2022  372611403  Saint-Symphorien 3            75.0   \n",
       "2         2022  372611301         Rochepinard             6.0   \n",
       "3         2022  372611503  Sainte-Radegonde 1             5.0   \n",
       "4         2022  372610902     Rives du Cher 2             2.0   \n",
       "...        ...        ...                 ...             ...   \n",
       "1997643   2021  920040201           Magenta I           120.0   \n",
       "1997644   2021  920040201           Magenta I            11.0   \n",
       "1997645   2021  920040703            Nord III            46.0   \n",
       "1997646   2021  920040703            Nord III            44.0   \n",
       "1997647   2021  920040701              Nord I            39.0   \n",
       "\n",
       "        indice_de_repetition type_de_voie       libelle_de_voie code_commune  \\\n",
       "0                        NaN       AVENUE         ANDRE MAGINOT        37261   \n",
       "1                          T       AVENUE         ANDRE MAGINOT        37261   \n",
       "2                        NaN       JARDIN       ANDREA GABRIELI        37261   \n",
       "3                        NaN          RUE  ANGELIQUE DU COUDRAY        37261   \n",
       "4                        NaN         MAIL     ANTOINE BOURDELLE        37261   \n",
       "...                      ...          ...                   ...          ...   \n",
       "1997643                  NaN       AVENUE        HENRI BARBUSSE        92004   \n",
       "1997644                    B          RUE          HENRI MOREAU        92004   \n",
       "1997645                  NaN          RUE        HENRI POINCARE        92004   \n",
       "1997646                  NaN          RUE        HENRI POINCARE        92004   \n",
       "1997647                  NaN          RUE        HENRI POINCARE        92004   \n",
       "\n",
       "                nom_commune segment_de_client  nombre_de_logements  \\\n",
       "0                     Tours       RESIDENTIEL                   27   \n",
       "1                     Tours       RESIDENTIEL                   10   \n",
       "2                     Tours       RESIDENTIEL                   17   \n",
       "3                     Tours       RESIDENTIEL                   38   \n",
       "4                     Tours       RESIDENTIEL                   50   \n",
       "...                     ...               ...                  ...   \n",
       "1997643  Asnières-sur-Seine       RESIDENTIEL                   11   \n",
       "1997644  Asnières-sur-Seine       RESIDENTIEL                   12   \n",
       "1997645  Asnières-sur-Seine       RESIDENTIEL                   10   \n",
       "1997646  Asnières-sur-Seine       RESIDENTIEL                   10   \n",
       "1997647  Asnières-sur-Seine       RESIDENTIEL                   10   \n",
       "\n",
       "         consommation_annuelle_totale_de_l_adresse_mwh  \\\n",
       "0                                               35.112   \n",
       "1                                               14.086   \n",
       "2                                               23.782   \n",
       "3                                               20.139   \n",
       "4                                              112.685   \n",
       "...                                                ...   \n",
       "1997643                                         37.076   \n",
       "1997644                                         43.589   \n",
       "1997645                                         22.575   \n",
       "1997646                                         16.214   \n",
       "1997647                                         19.482   \n",
       "\n",
       "         consommation_annuelle_moyenne_par_site_de_l_adresse_mwh  \\\n",
       "0                                                    1.300         \n",
       "1                                                    1.409         \n",
       "2                                                    1.399         \n",
       "3                                                    0.530         \n",
       "4                                                    2.254         \n",
       "...                                                    ...         \n",
       "1997643                                              3.371         \n",
       "1997644                                              3.632         \n",
       "1997645                                              2.257         \n",
       "1997646                                              1.621         \n",
       "1997647                                              1.948         \n",
       "\n",
       "         consommation_annuelle_moyenne_de_la_commune_mwh  \\\n",
       "0                                                  2.484   \n",
       "1                                                  2.484   \n",
       "2                                                  2.484   \n",
       "3                                                  2.484   \n",
       "4                                                  2.484   \n",
       "...                                                  ...   \n",
       "1997643                                            3.343   \n",
       "1997644                                            3.343   \n",
       "1997645                                            3.343   \n",
       "1997646                                            3.343   \n",
       "1997647                                            3.343   \n",
       "\n",
       "                            adresse  tri_des_adresses  code_epci  \\\n",
       "0          103 AVENUE ANDRE MAGINOT            360001  243700754   \n",
       "1         75 T AVENUE ANDRE MAGINOT            360006  243700754   \n",
       "2          6 JARDIN ANDREA GABRIELI            360012  243700754   \n",
       "3        5 RUE ANGELIQUE DU COUDRAY            360017  243700754   \n",
       "4          2 MAIL ANTOINE BOURDELLE            360027  243700754   \n",
       "...                             ...               ...        ...   \n",
       "1997643   120 AVENUE HENRI BARBUSSE             19949  200054781   \n",
       "1997644       11 B RUE HENRI MOREAU             19972  200054781   \n",
       "1997645       46 RUE HENRI POINCARE             19992  200054781   \n",
       "1997646       44 RUE HENRI POINCARE             19993  200054781   \n",
       "1997647       39 RUE HENRI POINCARE             19999  200054781   \n",
       "\n",
       "        code_departement code_region  \n",
       "0                     37          24  \n",
       "1                     37          24  \n",
       "2                     37          24  \n",
       "3                     37          24  \n",
       "4                     37          24  \n",
       "...                  ...         ...  \n",
       "1997643               92          11  \n",
       "1997644               92          11  \n",
       "1997645               92          11  \n",
       "1997646               92          11  \n",
       "1997647               92          11  \n",
       "\n",
       "[1997648 rows x 19 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = load_table_from_resource_id(\n",
    "    '5d016174-9c00-47e1-829a-e055c5458ec7',\n",
    "    dtype={\n",
    "        k: str for k in ['code_region', 'code_departement', 'code_epci', 'code_commune', 'code_iris']\n",
    "    }\n",
    ")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f64796a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "annee  code_commune\n",
       "2018   01004            4390.709\n",
       "       01007              19.398\n",
       "       01010              32.572\n",
       "       01014             601.813\n",
       "       01024             363.597\n",
       "                         ...    \n",
       "2022   95658              30.724\n",
       "       95660              97.018\n",
       "       95675             290.609\n",
       "       95678              46.020\n",
       "       95680           17955.521\n",
       "Name: consommation_annuelle_totale_de_l_adresse_mwh, Length: 32370, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# on groupe les données par année et par commune\n",
    "grouped_year = df.groupby(['annee', 'code_commune'])\n",
    "conso = grouped_year['consommation_annuelle_totale_de_l_adresse_mwh'].sum()\n",
    "logements = grouped_year['nombre_de_logements'].sum()\n",
    "conso"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2e2c6114",
   "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_commune</th>\n",
       "      <th>nom</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01001</td>\n",
       "      <td>L'Abergement-Clémenciat</td>\n",
       "      <td>POLYGON ((4.95841 46.15327, 4.95812 46.15316, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01002</td>\n",
       "      <td>L'Abergement-de-Varey</td>\n",
       "      <td>POLYGON ((5.43020 45.98277, 5.43001 45.98299, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01004</td>\n",
       "      <td>Ambérieu-en-Bugey</td>\n",
       "      <td>POLYGON ((5.40882 45.94206, 5.40850 45.94210, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01005</td>\n",
       "      <td>Ambérieux-en-Dombes</td>\n",
       "      <td>POLYGON ((4.94298 45.97962, 4.94257 45.97949, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>01006</td>\n",
       "      <td>Ambléon</td>\n",
       "      <td>POLYGON ((5.57083 45.75338, 5.57219 45.75357, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35089</th>\n",
       "      <td>98830</td>\n",
       "      <td>Touho</td>\n",
       "      <td>MULTIPOLYGON (((165.25608 -20.86528, 165.25637...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35090</th>\n",
       "      <td>98831</td>\n",
       "      <td>Voh</td>\n",
       "      <td>MULTIPOLYGON (((164.69511 -21.04249, 164.69504...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35091</th>\n",
       "      <td>98832</td>\n",
       "      <td>Yaté</td>\n",
       "      <td>MULTIPOLYGON (((167.03572 -22.29068, 167.03563...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35092</th>\n",
       "      <td>98833</td>\n",
       "      <td>Kouaoua</td>\n",
       "      <td>MULTIPOLYGON (((165.88247 -21.39642, 165.88252...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35093</th>\n",
       "      <td>98901</td>\n",
       "      <td>Île de Clipperton</td>\n",
       "      <td>POLYGON ((-109.22842 10.29747, -109.22901 10.2...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35094 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      code_commune                      nom  \\\n",
       "0            01001  L'Abergement-Clémenciat   \n",
       "1            01002    L'Abergement-de-Varey   \n",
       "2            01004        Ambérieu-en-Bugey   \n",
       "3            01005      Ambérieux-en-Dombes   \n",
       "4            01006                  Ambléon   \n",
       "...            ...                      ...   \n",
       "35089        98830                    Touho   \n",
       "35090        98831                      Voh   \n",
       "35091        98832                     Yaté   \n",
       "35092        98833                  Kouaoua   \n",
       "35093        98901        Île de Clipperton   \n",
       "\n",
       "                                                geometry  \n",
       "0      POLYGON ((4.95841 46.15327, 4.95812 46.15316, ...  \n",
       "1      POLYGON ((5.43020 45.98277, 5.43001 45.98299, ...  \n",
       "2      POLYGON ((5.40882 45.94206, 5.40850 45.94210, ...  \n",
       "3      POLYGON ((4.94298 45.97962, 4.94257 45.97949, ...  \n",
       "4      POLYGON ((5.57083 45.75338, 5.57219 45.75357, ...  \n",
       "...                                                  ...  \n",
       "35089  MULTIPOLYGON (((165.25608 -20.86528, 165.25637...  \n",
       "35090  MULTIPOLYGON (((164.69511 -21.04249, 164.69504...  \n",
       "35091  MULTIPOLYGON (((167.03572 -22.29068, 167.03563...  \n",
       "35092  MULTIPOLYGON (((165.88247 -21.39642, 165.88252...  \n",
       "35093  POLYGON ((-109.22842 10.29747, -109.22901 10.2...  \n",
       "\n",
       "[35094 rows x 3 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# on récupère les contours des communes\n",
    "contours = gpd.read_file(\"http://etalab-datasets.geo.data.gouv.fr/contours-administratifs/2022/geojson/communes-5m.geojson\")\n",
    "contours = contours[['code', 'nom', 'geometry']].rename({'code': 'code_commune'}, axis=1)\n",
    "contours"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "b818d7b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# on sélectionne une année et une variable à visualiser\n",
    "year = 2022\n",
    "var = 'consommation_annuelle_totale_de_l_adresse_mwh'\n",
    "conso_year = conso.iloc[conso.index.get_level_values('annee') == year].reset_index().drop('annee', axis=1)\n",
    "merged = gpd.GeoDataFrame(pd.merge(\n",
    "    conso_year,\n",
    "    contours,\n",
    "    on='code_commune',\n",
    "    how='right',\n",
    "), geometry='geometry')\n",
    "merged.plot(\n",
    "    var,\n",
    "    legend=True,\n",
    "    norm=matplotlib.colors.LogNorm(vmin=merged[var].min(), vmax=merged[var].max()),\n",
    "    cmap='RdYlGn_r'\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6106cb85",
   "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": "3.10.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}