{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# Deal flow espaces verts 2018 - 2019\n", "\n", "Ce jeu de donn\u00e9es est propos\u00e9 pour la r\u00e9alisation d'un projet de module python pour partager une fonction de graphe. Un exemple de ce projet est propos\u00e9 : [td2a_plotting](https://github.com/sdpython/td2a_plotting)."]}, {"cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [{"data": {"text/html": ["<div id=\"my_id_menu_nb\">run previous cell, wait for 2 seconds</div>\n", "<script>\n", "function repeat_indent_string(n){\n", "    var a = \"\" ;\n", "    for ( ; n > 0 ; --n)\n", "        a += \"    \";\n", "    return a;\n", "}\n", "// look up into all sections and builds an automated menu //\n", "var update_menu_string = function(begin, lfirst, llast, sformat, send, keep_item, begin_format, end_format) {\n", "    var anchors = document.getElementsByClassName(\"section\");\n", "    if (anchors.length == 0) {\n", "        anchors = document.getElementsByClassName(\"text_cell_render rendered_html\");\n", "    }\n", "    var i,t;\n", "    var text_menu = begin;\n", "    var text_memo = \"<pre>\\nlength:\" + anchors.length + \"\\n\";\n", "    var ind = \"\";\n", "    var memo_level = 1;\n", "    var href;\n", "    var tags = [];\n", "    var main_item = 0;\n", "    var format_open = 0;\n", "    for (i = 0; i <= llast; i++)\n", "        tags.push(\"h\" + i);\n", "\n", "    for (i = 0; i < anchors.length; i++) {\n", "        text_memo += \"**\" + anchors[i].id + \"--\\n\";\n", "\n", "        var child = null;\n", "        for(t = 0; t < tags.length; t++) {\n", "            var r = anchors[i].getElementsByTagName(tags[t]);\n", "            if (r.length > 0) {\n", "child = r[0];\n", "break;\n", "            }\n", "        }\n", "        if (child == null) {\n", "            text_memo += \"null\\n\";\n", "            continue;\n", "        }\n", "        if (anchors[i].hasAttribute(\"id\")) {\n", "            // when converted in RST\n", "            href = anchors[i].id;\n", "            text_memo += \"#1-\" + href;\n", "            // passer \u00e0 child suivant (le chercher)\n", "        }\n", "        else if (child.hasAttribute(\"id\")) {\n", "            // in a notebook\n", "            href = child.id;\n", "            text_memo += \"#2-\" + href;\n", "        }\n", "        else {\n", "            text_memo += \"#3-\" + \"*\" + \"\\n\";\n", "            continue;\n", "        }\n", "        var title = child.textContent;\n", "        var level = parseInt(child.tagName.substring(1,2));\n", "\n", "        text_memo += \"--\" + level + \"?\" + lfirst + \"--\" + title + \"\\n\";\n", "\n", "        if ((level < lfirst) || (level > llast)) {\n", "            continue ;\n", "        }\n", "        if (title.endsWith('\u00b6')) {\n", "            title = title.substring(0,title.length-1).replace(\"<\", \"&lt;\")\n", "         .replace(\">\", \"&gt;\").replace(\"&\", \"&amp;\");\n", "        }\n", "        if (title.length == 0) {\n", "            continue;\n", "        }\n", "\n", "        while (level < memo_level) {\n", "            text_menu += end_format + \"</ul>\\n\";\n", "            format_open -= 1;\n", "            memo_level -= 1;\n", "        }\n", "        if (level == lfirst) {\n", "            main_item += 1;\n", "        }\n", "        if (keep_item != -1 && main_item != keep_item + 1) {\n", "            // alert(main_item + \" - \" + level + \" - \" + keep_item);\n", "            continue;\n", "        }\n", "        while (level > memo_level) {\n", "            text_menu += \"<ul>\\n\";\n", "            memo_level += 1;\n", "        }\n", "        text_menu += repeat_indent_string(level-2);\n", "        text_menu += begin_format + sformat.replace(\"__HREF__\", href).replace(\"__TITLE__\", title);\n", "        format_open += 1;\n", "    }\n", "    while (1 < memo_level) {\n", "        text_menu += end_format + \"</ul>\\n\";\n", "        memo_level -= 1;\n", "        format_open -= 1;\n", "    }\n", "    text_menu += send;\n", "    //text_menu += \"\\n\" + text_memo;\n", "\n", "    while (format_open > 0) {\n", "        text_menu += end_format;\n", "        format_open -= 1;\n", "    }\n", "    return text_menu;\n", "};\n", "var update_menu = function() {\n", "    var sbegin = \"\";\n", "    var sformat = '<a href=\"#__HREF__\">__TITLE__</a>';\n", "    var send = \"\";\n", "    var begin_format = '<li>';\n", "    var end_format = '</li>';\n", "    var keep_item = -1;\n", "    var text_menu = update_menu_string(sbegin, 2, 4, sformat, send, keep_item,\n", "       begin_format, end_format);\n", "    var menu = document.getElementById(\"my_id_menu_nb\");\n", "    menu.innerHTML=text_menu;\n", "};\n", "window.setTimeout(update_menu,2000);\n", "            </script>"], "text/plain": ["<IPython.core.display.HTML object>"]}, "execution_count": 2, "metadata": {}, "output_type": "execute_result"}], "source": ["from jyquickhelper import add_notebook_menu\n", "add_notebook_menu()"]}, {"cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": ["%matplotlib inline"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## R\u00e9cup\u00e9ration des donn\u00e9es"]}, {"cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [{"data": {"text/plain": ["['./DEAL Flow automatisation 2019.xlsx', './Jeu de donn\u00e9es deal flow 2018.csv']"]}, "execution_count": 4, "metadata": {}, "output_type": "execute_result"}], "source": ["from ensae_teaching_cs.data import deal_flow_espace_vert_2018_2019\n", "filenames = deal_flow_espace_vert_2018_2019()\n", "filenames"]}, {"cell_type": "code", "execution_count": 4, "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>DOMAINE</th>\n", "      <th>SOUS_DOMAINE</th>\n", "      <th>SOUS_DOMAINE_NIV2</th>\n", "      <th>SOUS_DOMAINE_NIV3</th>\n", "      <th>DOSSIER_CODE</th>\n", "      <th>DOSSIER_OBJET</th>\n", "      <th>TIERS NOM</th>\n", "      <th>COMMUNE</th>\n", "      <th>COMMUNE_X</th>\n", "      <th>COMMUNE_Y</th>\n", "      <th>DOSSIER_DATE_NOTIFICATION</th>\n", "      <th>DOSSIER_DUREE</th>\n", "      <th>iOp\u00e9rationCout</th>\n", "      <th>iMontant total</th>\n", "    </tr>\n", "  </thead>\n", "  <tbody>\n", "    <tr>\n", "      <th>0</th>\n", "      <td>D2-Economie Circulaire</td>\n", "      <td>2DE-D\u00e9chets</td>\n", "      <td>2DE.01-Pr\u00e9vention</td>\n", "      <td>2DE.01.01-R\u00e9emploi/r\u00e9paration</td>\n", "      <td>19OCC0099</td>\n", "      <td>Achat et pose de mobilier de seconde vie pour ...</td>\n", "      <td>SA HLM CHALETS</td>\n", "      <td>Toulouse</td>\n", "      <td>1.431672</td>\n", "      <td>43.596382</td>\n", "      <td>2019-05-28</td>\n", "      <td>18.0</td>\n", "      <td>197001.00</td>\n", "      <td>15864.0</td>\n", "    </tr>\n", "    <tr>\n", "      <th>1</th>\n", "      <td>D2-Economie Circulaire</td>\n", "      <td>2DE-D\u00e9chets</td>\n", "      <td>2DE.02-Valorisation organique</td>\n", "      <td>2DE.02.01-M\u00e9thanisation</td>\n", "      <td>18BRC0299</td>\n", "      <td>BIOGAZ 2018 - Installation d'une unit\u00e9 de m\u00e9th...</td>\n", "      <td>GAEC LA MOTTE COATHUAL</td>\n", "      <td>Plouguern\u00e9vel</td>\n", "      <td>-3.247116</td>\n", "      <td>48.234072</td>\n", "      <td>2019-03-06</td>\n", "      <td>48.0</td>\n", "      <td>1283771.16</td>\n", "      <td>160103.0</td>\n", "    </tr>\n", "    <tr>\n", "      <th>2</th>\n", "      <td>D2-Economie Circulaire</td>\n", "      <td>2DE-D\u00e9chets</td>\n", "      <td>2DE.02-Valorisation organique</td>\n", "      <td>2DE.02.01-M\u00e9thanisation</td>\n", "      <td>18BRC0304</td>\n", "      <td>BIOGAZ 2018 - Installation d'une unit\u00e9 de m\u00e9th...</td>\n", "      <td>SAS METHA-GOURHAND</td>\n", "      <td>Martign\u00e9-Ferchaud</td>\n", "      <td>-1.328084</td>\n", "      <td>47.828196</td>\n", "      <td>2019-03-15</td>\n", "      <td>48.0</td>\n", "      <td>2073288.45</td>\n", "      <td>160417.0</td>\n", "    </tr>\n", "    <tr>\n", "      <th>3</th>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>1ER.06-Solaire Th.</td>\n", "      <td>1ER.06.03-Solaire tertiaire</td>\n", "      <td>19COC0041</td>\n", "      <td>AAP STCo - Alimentation ECS solaire d'une vill...</td>\n", "      <td>MINNA</td>\n", "      <td>Zonza</td>\n", "      <td>9.266098</td>\n", "      <td>41.721407</td>\n", "      <td>2019-05-17</td>\n", "      <td>18.0</td>\n", "      <td>6000.00</td>\n", "      <td>3255.0</td>\n", "    </tr>\n", "    <tr>\n", "      <th>4</th>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>1ER.05-R\u00e9seaux de chaleur distribution</td>\n", "      <td>1ER.05.02-Extension de R\u00e9seaux de chaleur</td>\n", "      <td>18RAC0252</td>\n", "      <td>AAP AURESEAU 2018 : Extension/densification du...</td>\n", "      <td>COMPAGNIE DE CHAUFFAGE INTERCOMMUNALE DE L'AGG...</td>\n", "      <td>Grenoble</td>\n", "      <td>5.721333</td>\n", "      <td>45.182120</td>\n", "      <td>NaT</td>\n", "      <td>65.0</td>\n", "      <td>98123000.00</td>\n", "      <td>8674236.0</td>\n", "    </tr>\n", "  </tbody>\n", "</table>\n", "</div>"], "text/plain": ["                                             DOMAINE  \\\n", "0                             D2-Economie Circulaire   \n", "1                             D2-Economie Circulaire   \n", "2                             D2-Economie Circulaire   \n", "3  D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "4  D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "\n", "                                        SOUS_DOMAINE  \\\n", "0                                        2DE-D\u00e9chets   \n", "1                                        2DE-D\u00e9chets   \n", "2                                        2DE-D\u00e9chets   \n", "3  1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "4  1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "\n", "                        SOUS_DOMAINE_NIV2  \\\n", "0                       2DE.01-Pr\u00e9vention   \n", "1           2DE.02-Valorisation organique   \n", "2           2DE.02-Valorisation organique   \n", "3                      1ER.06-Solaire Th.   \n", "4  1ER.05-R\u00e9seaux de chaleur distribution   \n", "\n", "                           SOUS_DOMAINE_NIV3 DOSSIER_CODE  \\\n", "0              2DE.01.01-R\u00e9emploi/r\u00e9paration    19OCC0099   \n", "1                    2DE.02.01-M\u00e9thanisation    18BRC0299   \n", "2                    2DE.02.01-M\u00e9thanisation    18BRC0304   \n", "3                1ER.06.03-Solaire tertiaire    19COC0041   \n", "4  1ER.05.02-Extension de R\u00e9seaux de chaleur    18RAC0252   \n", "\n", "                                       DOSSIER_OBJET  \\\n", "0  Achat et pose de mobilier de seconde vie pour ...   \n", "1  BIOGAZ 2018 - Installation d'une unit\u00e9 de m\u00e9th...   \n", "2  BIOGAZ 2018 - Installation d'une unit\u00e9 de m\u00e9th...   \n", "3  AAP STCo - Alimentation ECS solaire d'une vill...   \n", "4  AAP AURESEAU 2018 : Extension/densification du...   \n", "\n", "                                           TIERS NOM            COMMUNE  \\\n", "0                                     SA HLM CHALETS           Toulouse   \n", "1                             GAEC LA MOTTE COATHUAL      Plouguern\u00e9vel   \n", "2                                 SAS METHA-GOURHAND  Martign\u00e9-Ferchaud   \n", "3                                              MINNA              Zonza   \n", "4  COMPAGNIE DE CHAUFFAGE INTERCOMMUNALE DE L'AGG...           Grenoble   \n", "\n", "   COMMUNE_X  COMMUNE_Y DOSSIER_DATE_NOTIFICATION  DOSSIER_DUREE  \\\n", "0   1.431672  43.596382                2019-05-28           18.0   \n", "1  -3.247116  48.234072                2019-03-06           48.0   \n", "2  -1.328084  47.828196                2019-03-15           48.0   \n", "3   9.266098  41.721407                2019-05-17           18.0   \n", "4   5.721333  45.182120                       NaT           65.0   \n", "\n", "   iOp\u00e9rationCout  iMontant total  \n", "0       197001.00         15864.0  \n", "1      1283771.16        160103.0  \n", "2      2073288.45        160417.0  \n", "3         6000.00          3255.0  \n", "4     98123000.00       8674236.0  "]}, "execution_count": 5, "metadata": {}, "output_type": "execute_result"}], "source": ["import pandas\n", "df19 = pandas.read_excel(filenames[0], engine='openpyxl')\n", "df19.head()"]}, {"cell_type": "markdown", "metadata": {}, "source": ["L'encoding du fichier *csv* n'est pas \u00e9vident \u00e0 deviner. On utilise le module [chardet](https://chardet.readthedocs.io/en/latest/usage.html) pour cela."]}, {"cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [{"data": {"text/plain": ["{'encoding': 'Windows-1252', 'confidence': 0.73, 'language': ''}"]}, "execution_count": 6, "metadata": {}, "output_type": "execute_result"}], "source": ["import chardet\n", "with open(filenames[1], 'rb') as f:\n", "    c = f.read()\n", "chardet.detect(c)"]}, {"cell_type": "code", "execution_count": 6, "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>DOMAINE</th>\n", "      <th>SOUS_DOMAINE</th>\n", "      <th>SOUS_DOMAINE_NIV2</th>\n", "      <th>SOUS_DOMAINE_NIV3</th>\n", "      <th>DOSSIER_CODE</th>\n", "      <th>DOSSIER_OBJET</th>\n", "      <th>TIERS_NOM</th>\n", "      <th>COMMUNE</th>\n", "      <th>COMMUNE_X</th>\n", "      <th>COMMUNE_Y</th>\n", "      <th>DOSSIER_DATE_NOTIFICATION</th>\n", "      <th>DOSSIER_DUREE</th>\n", "      <th>iNbDossiers</th>\n", "      <th>iOp\u00e9rationCout</th>\n", "      <th>iMontantTotal</th>\n", "    </tr>\n", "  </thead>\n", "  <tbody>\n", "    <tr>\n", "      <th>0</th>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>1BA-B\u00e2timent</td>\n", "      <td>1BA.01-Performance \u00e9nerg\u00e9tique b\u00e2timent</td>\n", "      <td>-</td>\n", "      <td>17GAC0007</td>\n", "      <td>Construction du groupe scolaire de Calvaire \u00e0 ...</td>\n", "      <td>COMMUNE DE BAIE-MAHAULT</td>\n", "      <td>Guadeloupe</td>\n", "      <td>-61.539650</td>\n", "      <td>16.198191</td>\n", "      <td>23/05/2018</td>\n", "      <td>36</td>\n", "      <td>1</td>\n", "      <td>719730.0</td>\n", "      <td>20586.0</td>\n", "    </tr>\n", "    <tr>\n", "      <th>1</th>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>1BA-B\u00e2timent</td>\n", "      <td>1BA.01-Performance \u00e9nerg\u00e9tique b\u00e2timent</td>\n", "      <td>-</td>\n", "      <td>17MAC0054</td>\n", "      <td>Laur\u00e9at AAP R\u00e9novation B\u00e2timent - R\u00e9novation \u00e9...</td>\n", "      <td>SA DE LA RAFFINERIE DES ANTILLES</td>\n", "      <td>Fort-de-France</td>\n", "      <td>-61.069188</td>\n", "      <td>14.641109</td>\n", "      <td>07/06/2018</td>\n", "      <td>26</td>\n", "      <td>1</td>\n", "      <td>488813.0</td>\n", "      <td>102154.0</td>\n", "    </tr>\n", "    <tr>\n", "      <th>2</th>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>1BA-B\u00e2timent</td>\n", "      <td>1BA.01-Performance \u00e9nerg\u00e9tique b\u00e2timent</td>\n", "      <td>-</td>\n", "      <td>17REC0125</td>\n", "      <td>Projet PREBAT UFR sant\u00e9</td>\n", "      <td>UNIVERSITE DE LA REUNION</td>\n", "      <td>La R\u00e9union</td>\n", "      <td>55.532483</td>\n", "      <td>-21.133114</td>\n", "      <td>03/05/2018</td>\n", "      <td>36</td>\n", "      <td>1</td>\n", "      <td>14415686.0</td>\n", "      <td>194489.0</td>\n", "    </tr>\n", "    <tr>\n", "      <th>3</th>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>1BA-B\u00e2timent</td>\n", "      <td>1BA.01-Performance \u00e9nerg\u00e9tique b\u00e2timent</td>\n", "      <td>-</td>\n", "      <td>18GAC0013</td>\n", "      <td>AAP BATEX 2017 -  R\u00e9alisation de l'H\u00f4tel Le R\u00e9...</td>\n", "      <td>COMPAGNIE D'EXPLOITATION HOTELIERE DES ABYMES ...</td>\n", "      <td>Guadeloupe</td>\n", "      <td>-61.539650</td>\n", "      <td>16.198191</td>\n", "      <td>26/11/2018</td>\n", "      <td>36</td>\n", "      <td>1</td>\n", "      <td>7429000.0</td>\n", "      <td>182100.0</td>\n", "    </tr>\n", "    <tr>\n", "      <th>4</th>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>1BA-B\u00e2timent</td>\n", "      <td>1BA.01-Performance \u00e9nerg\u00e9tique b\u00e2timent</td>\n", "      <td>-</td>\n", "      <td>18GAC0015</td>\n", "      <td>AAP BATEX 2017 - Construction du b\u00e2timent CONF...</td>\n", "      <td>ELLAGUA</td>\n", "      <td>Guadeloupe</td>\n", "      <td>-61.539650</td>\n", "      <td>16.198191</td>\n", "      <td>27/07/2018</td>\n", "      <td>44</td>\n", "      <td>1</td>\n", "      <td>1418327.0</td>\n", "      <td>64511.0</td>\n", "    </tr>\n", "  </tbody>\n", "</table>\n", "</div>"], "text/plain": ["                                             DOMAINE  SOUS_DOMAINE  \\\n", "0  D1-Energie, changement climatique, qualit\u00e9 de ...  1BA-B\u00e2timent   \n", "1  D1-Energie, changement climatique, qualit\u00e9 de ...  1BA-B\u00e2timent   \n", "2  D1-Energie, changement climatique, qualit\u00e9 de ...  1BA-B\u00e2timent   \n", "3  D1-Energie, changement climatique, qualit\u00e9 de ...  1BA-B\u00e2timent   \n", "4  D1-Energie, changement climatique, qualit\u00e9 de ...  1BA-B\u00e2timent   \n", "\n", "                         SOUS_DOMAINE_NIV2 SOUS_DOMAINE_NIV3 DOSSIER_CODE  \\\n", "0  1BA.01-Performance \u00e9nerg\u00e9tique b\u00e2timent                 -    17GAC0007   \n", "1  1BA.01-Performance \u00e9nerg\u00e9tique b\u00e2timent                 -    17MAC0054   \n", "2  1BA.01-Performance \u00e9nerg\u00e9tique b\u00e2timent                 -    17REC0125   \n", "3  1BA.01-Performance \u00e9nerg\u00e9tique b\u00e2timent                 -    18GAC0013   \n", "4  1BA.01-Performance \u00e9nerg\u00e9tique b\u00e2timent                 -    18GAC0015   \n", "\n", "                                       DOSSIER_OBJET  \\\n", "0  Construction du groupe scolaire de Calvaire \u00e0 ...   \n", "1  Laur\u00e9at AAP R\u00e9novation B\u00e2timent - R\u00e9novation \u00e9...   \n", "2                            Projet PREBAT UFR sant\u00e9   \n", "3  AAP BATEX 2017 -  R\u00e9alisation de l'H\u00f4tel Le R\u00e9...   \n", "4  AAP BATEX 2017 - Construction du b\u00e2timent CONF...   \n", "\n", "                                           TIERS_NOM         COMMUNE  \\\n", "0                            COMMUNE DE BAIE-MAHAULT      Guadeloupe   \n", "1                   SA DE LA RAFFINERIE DES ANTILLES  Fort-de-France   \n", "2                           UNIVERSITE DE LA REUNION      La R\u00e9union   \n", "3  COMPAGNIE D'EXPLOITATION HOTELIERE DES ABYMES ...      Guadeloupe   \n", "4                                            ELLAGUA      Guadeloupe   \n", "\n", "   COMMUNE_X  COMMUNE_Y DOSSIER_DATE_NOTIFICATION  DOSSIER_DUREE  iNbDossiers  \\\n", "0 -61.539650  16.198191                23/05/2018             36            1   \n", "1 -61.069188  14.641109                07/06/2018             26            1   \n", "2  55.532483 -21.133114                03/05/2018             36            1   \n", "3 -61.539650  16.198191                26/11/2018             36            1   \n", "4 -61.539650  16.198191                27/07/2018             44            1   \n", "\n", "   iOp\u00e9rationCout  iMontantTotal  \n", "0        719730.0        20586.0  \n", "1        488813.0       102154.0  \n", "2      14415686.0       194489.0  \n", "3       7429000.0       182100.0  \n", "4       1418327.0        64511.0  "]}, "execution_count": 7, "metadata": {}, "output_type": "execute_result"}], "source": ["df18 = pandas.read_csv(filenames[1], encoding=\"Windows-1252\", sep=\";\", decimal=',')\n", "df18.head()"]}, {"cell_type": "markdown", "metadata": {}, "source": ["Comparons les colonnes."]}, {"cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [{"data": {"text/plain": ["Index(['DOMAINE', 'SOUS_DOMAINE', 'SOUS_DOMAINE_NIV2', 'SOUS_DOMAINE_NIV3',\n", "       'DOSSIER_CODE', 'DOSSIER_OBJET', 'TIERS_NOM', 'COMMUNE', 'COMMUNE_X',\n", "       'COMMUNE_Y', 'DOSSIER_DATE_NOTIFICATION', 'DOSSIER_DUREE',\n", "       'iNbDossiers', 'iOp\u00e9rationCout', 'iMontantTotal'],\n", "      dtype='object')"]}, "execution_count": 8, "metadata": {}, "output_type": "execute_result"}], "source": ["df18.columns"]}, {"cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [{"data": {"text/plain": ["Index(['DOMAINE', 'SOUS_DOMAINE', 'SOUS_DOMAINE_NIV2', 'SOUS_DOMAINE_NIV3',\n", "       'DOSSIER_CODE', 'DOSSIER_OBJET', 'TIERS NOM', 'COMMUNE', 'COMMUNE_X',\n", "       'COMMUNE_Y', 'DOSSIER_DATE_NOTIFICATION', 'DOSSIER_DUREE',\n", "       'iOp\u00e9rationCout', 'iMontant total'],\n", "      dtype='object')"]}, "execution_count": 9, "metadata": {}, "output_type": "execute_result"}], "source": ["df19.columns"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## Vues dynamiques"]}, {"cell_type": "markdown", "metadata": {}, "source": ["On regarde un peu les donn\u00e9es."]}, {"cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": ["columns = list(sorted(set(list(df18.columns) +  list(df19.columns)))) + ['montant']"]}, {"cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": ["from ipywidgets import interact"]}, {"cell_type": "code", "execution_count": 11, "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>747</th>\n", "      <th>569</th>\n", "      <th>20</th>\n", "      <th>126</th>\n", "      <th>1</th>\n", "      <th>830</th>\n", "      <th>240</th>\n", "      <th>561</th>\n", "      <th>287</th>\n", "      <th>192</th>\n", "      <th>...</th>\n", "      <th>189</th>\n", "      <th>134</th>\n", "      <th>209</th>\n", "      <th>947</th>\n", "      <th>217</th>\n", "      <th>211</th>\n", "      <th>273</th>\n", "      <th>212</th>\n", "      <th>222</th>\n", "      <th>111</th>\n", "    </tr>\n", "  </thead>\n", "  <tbody>\n", "    <tr>\n", "      <th>DOMAINE</th>\n", "      <td>D2-Economie Circulaire</td>\n", "      <td>D2-Economie Circulaire</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>D2-Economie Circulaire</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>D2-Economie Circulaire</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>...</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>D2-Economie Circulaire</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "      <td>D1-Energie, changement climatique, qualit\u00e9 de ...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>SOUS_DOMAINE</th>\n", "      <td>2DE-D\u00e9chets</td>\n", "      <td>2DE-D\u00e9chets</td>\n", "      <td>1EE-Efficacit\u00e9 \u00e9nerg\u00e9tique dans la production ...</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>1BA-B\u00e2timent</td>\n", "      <td>2DE-D\u00e9chets</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>2DE-D\u00e9chets</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>...</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>2DE-D\u00e9chets</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "      <td>1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>SOUS_DOMAINE_NIV2</th>\n", "      <td>2DE.02-Valorisation organique</td>\n", "      <td>2DE.01-Pr\u00e9vention</td>\n", "      <td>1EE.02-Process</td>\n", "      <td>1ER.02-Biomasse approvisionnement</td>\n", "      <td>1BA.01-Performance \u00e9nerg\u00e9tique b\u00e2timent</td>\n", "      <td>2DE.02-Valorisation organique</td>\n", "      <td>1ER.05-R\u00e9seaux de chaleur distribution</td>\n", "      <td>2DE.01-Pr\u00e9vention</td>\n", "      <td>1ER.05-R\u00e9seaux de chaleur distribution</td>\n", "      <td>1ER.03-G\u00e9othermie</td>\n", "      <td>...</td>\n", "      <td>1ER.03-G\u00e9othermie</td>\n", "      <td>1ER.03-G\u00e9othermie</td>\n", "      <td>1ER.05-R\u00e9seaux de chaleur distribution</td>\n", "      <td>2DE.03-Recyclage et valorisation \u00e9nerg\u00e9tique</td>\n", "      <td>1ER.05-R\u00e9seaux de chaleur distribution</td>\n", "      <td>1ER.05-R\u00e9seaux de chaleur distribution</td>\n", "      <td>1ER.05-R\u00e9seaux de chaleur distribution</td>\n", "      <td>1ER.05-R\u00e9seaux de chaleur distribution</td>\n", "      <td>1ER.05-R\u00e9seaux de chaleur distribution</td>\n", "      <td>1ER.01-Biomasse</td>\n", "    </tr>\n", "    <tr>\n", "      <th>SOUS_DOMAINE_NIV3</th>\n", "      <td>2DE.02.01-M\u00e9thanisation</td>\n", "      <td>2DE.01.01-R\u00e9emploi/r\u00e9paration</td>\n", "      <td>-</td>\n", "      <td>-</td>\n", "      <td>-</td>\n", "      <td>2DE.02.04-Desemballage/d\u00e9conditionnement</td>\n", "      <td>1ER.05.01-Cr\u00e9ation de R\u00e9seaux de chaleur</td>\n", "      <td>2DE.01.01-R\u00e9emploi/r\u00e9paration</td>\n", "      <td>1ER.05.02-Extension de R\u00e9seaux de chaleur</td>\n", "      <td>1ER.03.06-Op\u00e9ration sur aquif\u00e8re superficiel &lt;...</td>\n", "      <td>...</td>\n", "      <td>1ER.03.05-Op\u00e9ration sur aquif\u00e8re profond &gt;200m...</td>\n", "      <td>1ER.03.02-PAC sur eaux us\u00e9es</td>\n", "      <td>1ER.05.01-Cr\u00e9ation de R\u00e9seaux de chaleur</td>\n", "      <td>2DE.03.08-Equipements valo \u00e9nerg\u00e9tique hors m\u00e9...</td>\n", "      <td>1ER.05.01-Cr\u00e9ation de R\u00e9seaux de chaleur</td>\n", "      <td>1ER.05.01-Cr\u00e9ation de R\u00e9seaux de chaleur</td>\n", "      <td>1ER.05.02-Extension de R\u00e9seaux de chaleur</td>\n", "      <td>1ER.05.01-Cr\u00e9ation de R\u00e9seaux de chaleur</td>\n", "      <td>1ER.05.01-Cr\u00e9ation de R\u00e9seaux de chaleur</td>\n", "      <td>1ER.01.02-Chaufferie biomasse industrie</td>\n", "    </tr>\n", "    <tr>\n", "      <th>DOSSIER_CODE</th>\n", "      <td>17GEC0327</td>\n", "      <td>17NOC0147</td>\n", "      <td>17RAC0171</td>\n", "      <td>18NOC0009</td>\n", "      <td>17MAC0054</td>\n", "      <td>18OCC0042</td>\n", "      <td>18GEC0049</td>\n", "      <td>17GEC0583</td>\n", "      <td>18GEC0063</td>\n", "      <td>17CLC0150</td>\n", "      <td>...</td>\n", "      <td>1520C0553</td>\n", "      <td>17PAC0007</td>\n", "      <td>1622C0004</td>\n", "      <td>17NAC0421</td>\n", "      <td>17CLC0167</td>\n", "      <td>1633C0081</td>\n", "      <td>17HFC0107</td>\n", "      <td>1634C0195</td>\n", "      <td>17HFC0199</td>\n", "      <td>1803C0022</td>\n", "    </tr>\n", "    <tr>\n", "      <th>DOSSIER_OBJET</th>\n", "      <td>Installation d'une unit\u00e9 de m\u00e9thanisation avec...</td>\n", "      <td>Cr\u00e9ation d'un tiers lieu du r\u00e9emploi des d\u00e9che...</td>\n", "      <td>Appel \u00e0 projets 2017 \"Transition \u00e9nerg\u00e9tique &amp;...</td>\n", "      <td>AMI DYNAMIC BOIS 2015 : Acquisition d'un d\u00e9bus...</td>\n", "      <td>Laur\u00e9at AAP R\u00e9novation B\u00e2timent - R\u00e9novation \u00e9...</td>\n", "      <td>cr\u00e9ation d'une unit\u00e9 de biod\u00e9conditionnement \u00e0...</td>\n", "      <td>Cr\u00e9ation d' un r\u00e9seau de chaleur \u00e0 partir de l...</td>\n", "      <td>Cr\u00e9ation d'une recyclerie sur le territoire de...</td>\n", "      <td>Extension du r\u00e9seau de chaleur VOLTINOV pour r...</td>\n", "      <td>r\u00e9alisation d'une installation g\u00e9othermique su...</td>\n", "      <td>...</td>\n", "      <td>R\u00e9aliser une centrale de g\u00e9othermie profonde d...</td>\n", "      <td>NTE - Cr\u00e9ation d'une boucle d'eau temp\u00e9r\u00e9e sur...</td>\n", "      <td>AAP 2017 - R\u00e9seau de chaleur bois-\u00e9nergie \u00e0 Au...</td>\n", "      <td>AAP \"Produire de la chaleur \u00e0 partir de Combus...</td>\n", "      <td>Cr\u00e9ation d'une chaufferie biomasse et d'un r\u00e9s...</td>\n", "      <td>Cr\u00e9ation d'un r\u00e9seau de chaleur aliment\u00e9 par l...</td>\n", "      <td>Extension et adaptation du r\u00e9seau de chaleur u...</td>\n", "      <td>Cr\u00e9ation d'une chaufferie bois-\u00e9nergie produis...</td>\n", "      <td>D\u00e9veloppement des r\u00e9seaux de chaleur et produc...</td>\n", "      <td>Construction d'une installation biomasse sur l...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>TIERS_NOM</th>\n", "      <td>GROUPEMENT AGRICOLE D EXPLOITATION EN COMMUN D...</td>\n", "      <td>LE HANGAR 0 LE HANGAR ZERO</td>\n", "      <td>ALAIN DULAC</td>\n", "      <td>VENDANGER LAURENT</td>\n", "      <td>SA DE LA RAFFINERIE DES ANTILLES</td>\n", "      <td>SOCIETE PATRICK TUBERT</td>\n", "      <td>SIVOM DE L'AGGLOMERATION MULHOUSIENNE</td>\n", "      <td>COMMUNAUTE DE COMMUNES DU PAYS DE COLOMBEY ET ...</td>\n", "      <td>COMPTOIR AGRICOLE D ACHAT ET DE VENTE</td>\n", "      <td>CC DU CHATILLONNAIS EN BERRY</td>\n", "      <td>...</td>\n", "      <td>ELECTRICITE DE STRASBOURG / ES ILLKIRCH GEOTHE...</td>\n", "      <td>DALKIA</td>\n", "      <td>AURILLAC CHALEUR BOIS</td>\n", "      <td>SUEZ RV FRANCE</td>\n", "      <td>ENGIE ENERGIE SERVICES / TOURS METROPOLE-ENERG...</td>\n", "      <td>GREEN ENERGIE BRIVE</td>\n", "      <td>SA ETUD REALIS GESTION RESEAU CHALEUR ND</td>\n", "      <td>DALKIA</td>\n", "      <td>AMIENS ENERGIES</td>\n", "      <td>TARANIS DU ROUVRAY</td>\n", "    </tr>\n", "    <tr>\n", "      <th>COMMUNE</th>\n", "      <td>Donnelay</td>\n", "      <td>Havre (Le)</td>\n", "      <td>Cublize</td>\n", "      <td>Normandie</td>\n", "      <td>Fort-de-France</td>\n", "      <td>Elne</td>\n", "      <td>Sausheim</td>\n", "      <td>NaN</td>\n", "      <td>Marlenheim</td>\n", "      <td>Ch\u00e2tillon-sur-Indre</td>\n", "      <td>...</td>\n", "      <td>Illkirch-Graffenstaden</td>\n", "      <td>Nice</td>\n", "      <td>Aurillac</td>\n", "      <td>Saint-Michel</td>\n", "      <td>Tours</td>\n", "      <td>Brive-la-Gaillarde</td>\n", "      <td>Lille</td>\n", "      <td>Sarreguemines</td>\n", "      <td>Amiens</td>\n", "      <td>Saint-\u00c9tienne-du-Rouvray</td>\n", "    </tr>\n", "    <tr>\n", "      <th>COMMUNE_X</th>\n", "      <td>6.688837</td>\n", "      <td>0.140074</td>\n", "      <td>4.387367</td>\n", "      <td>0.110814</td>\n", "      <td>-61.069188</td>\n", "      <td>2.971194</td>\n", "      <td>7.40066</td>\n", "      <td>NaN</td>\n", "      <td>7.50589</td>\n", "      <td>1.175097</td>\n", "      <td>...</td>\n", "      <td>7.731296</td>\n", "      <td>7.238269</td>\n", "      <td>2.441624</td>\n", "      <td>0.110389</td>\n", "      <td>0.696524</td>\n", "      <td>1.519368</td>\n", "      <td>3.047833</td>\n", "      <td>7.069432</td>\n", "      <td>2.290075</td>\n", "      <td>1.089769</td>\n", "    </tr>\n", "    <tr>\n", "      <th>COMMUNE_Y</th>\n", "      <td>48.750185</td>\n", "      <td>49.498472</td>\n", "      <td>46.024511</td>\n", "      <td>49.120255</td>\n", "      <td>14.641109</td>\n", "      <td>42.60086</td>\n", "      <td>47.782498</td>\n", "      <td>NaN</td>\n", "      <td>48.619055</td>\n", "      <td>46.991707</td>\n", "      <td>...</td>\n", "      <td>48.52005</td>\n", "      <td>43.711992</td>\n", "      <td>44.924523</td>\n", "      <td>45.639858</td>\n", "      <td>47.398637</td>\n", "      <td>45.143583</td>\n", "      <td>50.631718</td>\n", "      <td>49.108814</td>\n", "      <td>49.900953</td>\n", "      <td>49.381494</td>\n", "    </tr>\n", "    <tr>\n", "      <th>DOSSIER_DATE_NOTIFICATION</th>\n", "      <td>05/04/2018</td>\n", "      <td>26/11/2018</td>\n", "      <td>10/07/2018</td>\n", "      <td>26/04/2018</td>\n", "      <td>07/06/2018</td>\n", "      <td>13/03/2018</td>\n", "      <td>23/10/2018</td>\n", "      <td>16/07/2018</td>\n", "      <td>15/11/2018</td>\n", "      <td>21/09/2018</td>\n", "      <td>...</td>\n", "      <td>21/06/2018</td>\n", "      <td>12/11/2018</td>\n", "      <td>13/04/2018</td>\n", "      <td>29/11/2018</td>\n", "      <td>26/11/2018</td>\n", "      <td>20/04/2018</td>\n", "      <td>20/11/2018</td>\n", "      <td>04/09/2018</td>\n", "      <td>18/06/2018</td>\n", "      <td>27/07/2018</td>\n", "    </tr>\n", "    <tr>\n", "      <th>DOSSIER_DUREE</th>\n", "      <td>40</td>\n", "      <td>18</td>\n", "      <td>30</td>\n", "      <td>24</td>\n", "      <td>26</td>\n", "      <td>18</td>\n", "      <td>36</td>\n", "      <td>18</td>\n", "      <td>18</td>\n", "      <td>36</td>\n", "      <td>...</td>\n", "      <td>36</td>\n", "      <td>66</td>\n", "      <td>48</td>\n", "      <td>45</td>\n", "      <td>96</td>\n", "      <td>42</td>\n", "      <td>72</td>\n", "      <td>57</td>\n", "      <td>72</td>\n", "      <td>96</td>\n", "    </tr>\n", "    <tr>\n", "      <th>iNbDossiers</th>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>...</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "      <td>1</td>\n", "    </tr>\n", "    <tr>\n", "      <th>iOp\u00e9rationCout</th>\n", "      <td>1064320.0</td>\n", "      <td>795000.0</td>\n", "      <td>308181.0</td>\n", "      <td>253000.0</td>\n", "      <td>488813.0</td>\n", "      <td>359117.0</td>\n", "      <td>189502.0</td>\n", "      <td>370000.0</td>\n", "      <td>665770.0</td>\n", "      <td>398173.0</td>\n", "      <td>...</td>\n", "      <td>31609480.0</td>\n", "      <td>24943544.0</td>\n", "      <td>9165541.0</td>\n", "      <td>31200000.0</td>\n", "      <td>11319500.0</td>\n", "      <td>18316449.0</td>\n", "      <td>27745000.0</td>\n", "      <td>15491429.0</td>\n", "      <td>32688506.0</td>\n", "      <td>43535173.0</td>\n", "    </tr>\n", "    <tr>\n", "      <th>iMontantTotal</th>\n", "      <td>100000.0</td>\n", "      <td>100000.0</td>\n", "      <td>100000.0</td>\n", "      <td>101200.0</td>\n", "      <td>102154.0</td>\n", "      <td>102370.0</td>\n", "      <td>102758.0</td>\n", "      <td>103740.0</td>\n", "      <td>103770.0</td>\n", "      <td>104200.0</td>\n", "      <td>...</td>\n", "      <td>4900000.0</td>\n", "      <td>4944008.0</td>\n", "      <td>5499325.0</td>\n", "      <td>5521000.0</td>\n", "      <td>6420500.0</td>\n", "      <td>6585500.0</td>\n", "      <td>7188000.0</td>\n", "      <td>7189010.0</td>\n", "      <td>14661241.0</td>\n", "      <td>14990000.0</td>\n", "    </tr>\n", "  </tbody>\n", "</table>\n", "<p>15 rows \u00d7 514 columns</p>\n", "</div>"], "text/plain": ["                                                                         747  \\\n", "DOMAINE                                               D2-Economie Circulaire   \n", "SOUS_DOMAINE                                                     2DE-D\u00e9chets   \n", "SOUS_DOMAINE_NIV2                              2DE.02-Valorisation organique   \n", "SOUS_DOMAINE_NIV3                                    2DE.02.01-M\u00e9thanisation   \n", "DOSSIER_CODE                                                       17GEC0327   \n", "DOSSIER_OBJET              Installation d'une unit\u00e9 de m\u00e9thanisation avec...   \n", "TIERS_NOM                  GROUPEMENT AGRICOLE D EXPLOITATION EN COMMUN D...   \n", "COMMUNE                                                             Donnelay   \n", "COMMUNE_X                                                           6.688837   \n", "COMMUNE_Y                                                          48.750185   \n", "DOSSIER_DATE_NOTIFICATION                                         05/04/2018   \n", "DOSSIER_DUREE                                                             40   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                     1064320.0   \n", "iMontantTotal                                                       100000.0   \n", "\n", "                                                                         569  \\\n", "DOMAINE                                               D2-Economie Circulaire   \n", "SOUS_DOMAINE                                                     2DE-D\u00e9chets   \n", "SOUS_DOMAINE_NIV2                                          2DE.01-Pr\u00e9vention   \n", "SOUS_DOMAINE_NIV3                              2DE.01.01-R\u00e9emploi/r\u00e9paration   \n", "DOSSIER_CODE                                                       17NOC0147   \n", "DOSSIER_OBJET              Cr\u00e9ation d'un tiers lieu du r\u00e9emploi des d\u00e9che...   \n", "TIERS_NOM                                         LE HANGAR 0 LE HANGAR ZERO   \n", "COMMUNE                                                           Havre (Le)   \n", "COMMUNE_X                                                           0.140074   \n", "COMMUNE_Y                                                          49.498472   \n", "DOSSIER_DATE_NOTIFICATION                                         26/11/2018   \n", "DOSSIER_DUREE                                                             18   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                      795000.0   \n", "iMontantTotal                                                       100000.0   \n", "\n", "                                                                         20   \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE               1EE-Efficacit\u00e9 \u00e9nerg\u00e9tique dans la production ...   \n", "SOUS_DOMAINE_NIV2                                             1EE.02-Process   \n", "SOUS_DOMAINE_NIV3                                                          -   \n", "DOSSIER_CODE                                                       17RAC0171   \n", "DOSSIER_OBJET              Appel \u00e0 projets 2017 \"Transition \u00e9nerg\u00e9tique &...   \n", "TIERS_NOM                                                        ALAIN DULAC   \n", "COMMUNE                                                              Cublize   \n", "COMMUNE_X                                                           4.387367   \n", "COMMUNE_Y                                                          46.024511   \n", "DOSSIER_DATE_NOTIFICATION                                         10/07/2018   \n", "DOSSIER_DUREE                                                             30   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                      308181.0   \n", "iMontantTotal                                                       100000.0   \n", "\n", "                                                                         126  \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE               1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "SOUS_DOMAINE_NIV2                          1ER.02-Biomasse approvisionnement   \n", "SOUS_DOMAINE_NIV3                                                          -   \n", "DOSSIER_CODE                                                       18NOC0009   \n", "DOSSIER_OBJET              AMI DYNAMIC BOIS 2015 : Acquisition d'un d\u00e9bus...   \n", "TIERS_NOM                                                  VENDANGER LAURENT   \n", "COMMUNE                                                            Normandie   \n", "COMMUNE_X                                                           0.110814   \n", "COMMUNE_Y                                                          49.120255   \n", "DOSSIER_DATE_NOTIFICATION                                         26/04/2018   \n", "DOSSIER_DUREE                                                             24   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                      253000.0   \n", "iMontantTotal                                                       101200.0   \n", "\n", "                                                                         1    \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE                                                    1BA-B\u00e2timent   \n", "SOUS_DOMAINE_NIV2                    1BA.01-Performance \u00e9nerg\u00e9tique b\u00e2timent   \n", "SOUS_DOMAINE_NIV3                                                          -   \n", "DOSSIER_CODE                                                       17MAC0054   \n", "DOSSIER_OBJET              Laur\u00e9at AAP R\u00e9novation B\u00e2timent - R\u00e9novation \u00e9...   \n", "TIERS_NOM                                   SA DE LA RAFFINERIE DES ANTILLES   \n", "COMMUNE                                                       Fort-de-France   \n", "COMMUNE_X                                                         -61.069188   \n", "COMMUNE_Y                                                          14.641109   \n", "DOSSIER_DATE_NOTIFICATION                                         07/06/2018   \n", "DOSSIER_DUREE                                                             26   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                      488813.0   \n", "iMontantTotal                                                       102154.0   \n", "\n", "                                                                         830  \\\n", "DOMAINE                                               D2-Economie Circulaire   \n", "SOUS_DOMAINE                                                     2DE-D\u00e9chets   \n", "SOUS_DOMAINE_NIV2                              2DE.02-Valorisation organique   \n", "SOUS_DOMAINE_NIV3                   2DE.02.04-Desemballage/d\u00e9conditionnement   \n", "DOSSIER_CODE                                                       18OCC0042   \n", "DOSSIER_OBJET              cr\u00e9ation d'une unit\u00e9 de biod\u00e9conditionnement \u00e0...   \n", "TIERS_NOM                                             SOCIETE PATRICK TUBERT   \n", "COMMUNE                                                                 Elne   \n", "COMMUNE_X                                                           2.971194   \n", "COMMUNE_Y                                                           42.60086   \n", "DOSSIER_DATE_NOTIFICATION                                         13/03/2018   \n", "DOSSIER_DUREE                                                             18   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                      359117.0   \n", "iMontantTotal                                                       102370.0   \n", "\n", "                                                                         240  \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE               1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "SOUS_DOMAINE_NIV2                     1ER.05-R\u00e9seaux de chaleur distribution   \n", "SOUS_DOMAINE_NIV3                   1ER.05.01-Cr\u00e9ation de R\u00e9seaux de chaleur   \n", "DOSSIER_CODE                                                       18GEC0049   \n", "DOSSIER_OBJET              Cr\u00e9ation d' un r\u00e9seau de chaleur \u00e0 partir de l...   \n", "TIERS_NOM                              SIVOM DE L'AGGLOMERATION MULHOUSIENNE   \n", "COMMUNE                                                             Sausheim   \n", "COMMUNE_X                                                            7.40066   \n", "COMMUNE_Y                                                          47.782498   \n", "DOSSIER_DATE_NOTIFICATION                                         23/10/2018   \n", "DOSSIER_DUREE                                                             36   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                      189502.0   \n", "iMontantTotal                                                       102758.0   \n", "\n", "                                                                         561  \\\n", "DOMAINE                                               D2-Economie Circulaire   \n", "SOUS_DOMAINE                                                     2DE-D\u00e9chets   \n", "SOUS_DOMAINE_NIV2                                          2DE.01-Pr\u00e9vention   \n", "SOUS_DOMAINE_NIV3                              2DE.01.01-R\u00e9emploi/r\u00e9paration   \n", "DOSSIER_CODE                                                       17GEC0583   \n", "DOSSIER_OBJET              Cr\u00e9ation d'une recyclerie sur le territoire de...   \n", "TIERS_NOM                  COMMUNAUTE DE COMMUNES DU PAYS DE COLOMBEY ET ...   \n", "COMMUNE                                                                  NaN   \n", "COMMUNE_X                                                                NaN   \n", "COMMUNE_Y                                                                NaN   \n", "DOSSIER_DATE_NOTIFICATION                                         16/07/2018   \n", "DOSSIER_DUREE                                                             18   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                      370000.0   \n", "iMontantTotal                                                       103740.0   \n", "\n", "                                                                         287  \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE               1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "SOUS_DOMAINE_NIV2                     1ER.05-R\u00e9seaux de chaleur distribution   \n", "SOUS_DOMAINE_NIV3                  1ER.05.02-Extension de R\u00e9seaux de chaleur   \n", "DOSSIER_CODE                                                       18GEC0063   \n", "DOSSIER_OBJET              Extension du r\u00e9seau de chaleur VOLTINOV pour r...   \n", "TIERS_NOM                              COMPTOIR AGRICOLE D ACHAT ET DE VENTE   \n", "COMMUNE                                                           Marlenheim   \n", "COMMUNE_X                                                            7.50589   \n", "COMMUNE_Y                                                          48.619055   \n", "DOSSIER_DATE_NOTIFICATION                                         15/11/2018   \n", "DOSSIER_DUREE                                                             18   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                      665770.0   \n", "iMontantTotal                                                       103770.0   \n", "\n", "                                                                         192  \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE               1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "SOUS_DOMAINE_NIV2                                          1ER.03-G\u00e9othermie   \n", "SOUS_DOMAINE_NIV3          1ER.03.06-Op\u00e9ration sur aquif\u00e8re superficiel <...   \n", "DOSSIER_CODE                                                       17CLC0150   \n", "DOSSIER_OBJET              r\u00e9alisation d'une installation g\u00e9othermique su...   \n", "TIERS_NOM                                       CC DU CHATILLONNAIS EN BERRY   \n", "COMMUNE                                                  Ch\u00e2tillon-sur-Indre   \n", "COMMUNE_X                                                           1.175097   \n", "COMMUNE_Y                                                          46.991707   \n", "DOSSIER_DATE_NOTIFICATION                                         21/09/2018   \n", "DOSSIER_DUREE                                                             36   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                      398173.0   \n", "iMontantTotal                                                       104200.0   \n", "\n", "                           ...  \\\n", "DOMAINE                    ...   \n", "SOUS_DOMAINE               ...   \n", "SOUS_DOMAINE_NIV2          ...   \n", "SOUS_DOMAINE_NIV3          ...   \n", "DOSSIER_CODE               ...   \n", "DOSSIER_OBJET              ...   \n", "TIERS_NOM                  ...   \n", "COMMUNE                    ...   \n", "COMMUNE_X                  ...   \n", "COMMUNE_Y                  ...   \n", "DOSSIER_DATE_NOTIFICATION  ...   \n", "DOSSIER_DUREE              ...   \n", "iNbDossiers                ...   \n", "iOp\u00e9rationCout             ...   \n", "iMontantTotal              ...   \n", "\n", "                                                                         189  \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE               1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "SOUS_DOMAINE_NIV2                                          1ER.03-G\u00e9othermie   \n", "SOUS_DOMAINE_NIV3          1ER.03.05-Op\u00e9ration sur aquif\u00e8re profond >200m...   \n", "DOSSIER_CODE                                                       1520C0553   \n", "DOSSIER_OBJET              R\u00e9aliser une centrale de g\u00e9othermie profonde d...   \n", "TIERS_NOM                  ELECTRICITE DE STRASBOURG / ES ILLKIRCH GEOTHE...   \n", "COMMUNE                                               Illkirch-Graffenstaden   \n", "COMMUNE_X                                                           7.731296   \n", "COMMUNE_Y                                                           48.52005   \n", "DOSSIER_DATE_NOTIFICATION                                         21/06/2018   \n", "DOSSIER_DUREE                                                             36   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                    31609480.0   \n", "iMontantTotal                                                      4900000.0   \n", "\n", "                                                                         134  \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE               1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "SOUS_DOMAINE_NIV2                                          1ER.03-G\u00e9othermie   \n", "SOUS_DOMAINE_NIV3                               1ER.03.02-PAC sur eaux us\u00e9es   \n", "DOSSIER_CODE                                                       17PAC0007   \n", "DOSSIER_OBJET              NTE - Cr\u00e9ation d'une boucle d'eau temp\u00e9r\u00e9e sur...   \n", "TIERS_NOM                                                             DALKIA   \n", "COMMUNE                                                                 Nice   \n", "COMMUNE_X                                                           7.238269   \n", "COMMUNE_Y                                                          43.711992   \n", "DOSSIER_DATE_NOTIFICATION                                         12/11/2018   \n", "DOSSIER_DUREE                                                             66   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                    24943544.0   \n", "iMontantTotal                                                      4944008.0   \n", "\n", "                                                                         209  \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE               1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "SOUS_DOMAINE_NIV2                     1ER.05-R\u00e9seaux de chaleur distribution   \n", "SOUS_DOMAINE_NIV3                   1ER.05.01-Cr\u00e9ation de R\u00e9seaux de chaleur   \n", "DOSSIER_CODE                                                       1622C0004   \n", "DOSSIER_OBJET              AAP 2017 - R\u00e9seau de chaleur bois-\u00e9nergie \u00e0 Au...   \n", "TIERS_NOM                                              AURILLAC CHALEUR BOIS   \n", "COMMUNE                                                             Aurillac   \n", "COMMUNE_X                                                           2.441624   \n", "COMMUNE_Y                                                          44.924523   \n", "DOSSIER_DATE_NOTIFICATION                                         13/04/2018   \n", "DOSSIER_DUREE                                                             48   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                     9165541.0   \n", "iMontantTotal                                                      5499325.0   \n", "\n", "                                                                         947  \\\n", "DOMAINE                                               D2-Economie Circulaire   \n", "SOUS_DOMAINE                                                     2DE-D\u00e9chets   \n", "SOUS_DOMAINE_NIV2               2DE.03-Recyclage et valorisation \u00e9nerg\u00e9tique   \n", "SOUS_DOMAINE_NIV3          2DE.03.08-Equipements valo \u00e9nerg\u00e9tique hors m\u00e9...   \n", "DOSSIER_CODE                                                       17NAC0421   \n", "DOSSIER_OBJET              AAP \"Produire de la chaleur \u00e0 partir de Combus...   \n", "TIERS_NOM                                                     SUEZ RV FRANCE   \n", "COMMUNE                                                         Saint-Michel   \n", "COMMUNE_X                                                           0.110389   \n", "COMMUNE_Y                                                          45.639858   \n", "DOSSIER_DATE_NOTIFICATION                                         29/11/2018   \n", "DOSSIER_DUREE                                                             45   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                    31200000.0   \n", "iMontantTotal                                                      5521000.0   \n", "\n", "                                                                         217  \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE               1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "SOUS_DOMAINE_NIV2                     1ER.05-R\u00e9seaux de chaleur distribution   \n", "SOUS_DOMAINE_NIV3                   1ER.05.01-Cr\u00e9ation de R\u00e9seaux de chaleur   \n", "DOSSIER_CODE                                                       17CLC0167   \n", "DOSSIER_OBJET              Cr\u00e9ation d'une chaufferie biomasse et d'un r\u00e9s...   \n", "TIERS_NOM                  ENGIE ENERGIE SERVICES / TOURS METROPOLE-ENERG...   \n", "COMMUNE                                                                Tours   \n", "COMMUNE_X                                                           0.696524   \n", "COMMUNE_Y                                                          47.398637   \n", "DOSSIER_DATE_NOTIFICATION                                         26/11/2018   \n", "DOSSIER_DUREE                                                             96   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                    11319500.0   \n", "iMontantTotal                                                      6420500.0   \n", "\n", "                                                                         211  \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE               1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "SOUS_DOMAINE_NIV2                     1ER.05-R\u00e9seaux de chaleur distribution   \n", "SOUS_DOMAINE_NIV3                   1ER.05.01-Cr\u00e9ation de R\u00e9seaux de chaleur   \n", "DOSSIER_CODE                                                       1633C0081   \n", "DOSSIER_OBJET              Cr\u00e9ation d'un r\u00e9seau de chaleur aliment\u00e9 par l...   \n", "TIERS_NOM                                                GREEN ENERGIE BRIVE   \n", "COMMUNE                                                   Brive-la-Gaillarde   \n", "COMMUNE_X                                                           1.519368   \n", "COMMUNE_Y                                                          45.143583   \n", "DOSSIER_DATE_NOTIFICATION                                         20/04/2018   \n", "DOSSIER_DUREE                                                             42   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                    18316449.0   \n", "iMontantTotal                                                      6585500.0   \n", "\n", "                                                                         273  \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE               1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "SOUS_DOMAINE_NIV2                     1ER.05-R\u00e9seaux de chaleur distribution   \n", "SOUS_DOMAINE_NIV3                  1ER.05.02-Extension de R\u00e9seaux de chaleur   \n", "DOSSIER_CODE                                                       17HFC0107   \n", "DOSSIER_OBJET              Extension et adaptation du r\u00e9seau de chaleur u...   \n", "TIERS_NOM                           SA ETUD REALIS GESTION RESEAU CHALEUR ND   \n", "COMMUNE                                                                Lille   \n", "COMMUNE_X                                                           3.047833   \n", "COMMUNE_Y                                                          50.631718   \n", "DOSSIER_DATE_NOTIFICATION                                         20/11/2018   \n", "DOSSIER_DUREE                                                             72   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                    27745000.0   \n", "iMontantTotal                                                      7188000.0   \n", "\n", "                                                                         212  \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE               1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "SOUS_DOMAINE_NIV2                     1ER.05-R\u00e9seaux de chaleur distribution   \n", "SOUS_DOMAINE_NIV3                   1ER.05.01-Cr\u00e9ation de R\u00e9seaux de chaleur   \n", "DOSSIER_CODE                                                       1634C0195   \n", "DOSSIER_OBJET              Cr\u00e9ation d'une chaufferie bois-\u00e9nergie produis...   \n", "TIERS_NOM                                                             DALKIA   \n", "COMMUNE                                                        Sarreguemines   \n", "COMMUNE_X                                                           7.069432   \n", "COMMUNE_Y                                                          49.108814   \n", "DOSSIER_DATE_NOTIFICATION                                         04/09/2018   \n", "DOSSIER_DUREE                                                             57   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                    15491429.0   \n", "iMontantTotal                                                      7189010.0   \n", "\n", "                                                                         222  \\\n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...   \n", "SOUS_DOMAINE               1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...   \n", "SOUS_DOMAINE_NIV2                     1ER.05-R\u00e9seaux de chaleur distribution   \n", "SOUS_DOMAINE_NIV3                   1ER.05.01-Cr\u00e9ation de R\u00e9seaux de chaleur   \n", "DOSSIER_CODE                                                       17HFC0199   \n", "DOSSIER_OBJET              D\u00e9veloppement des r\u00e9seaux de chaleur et produc...   \n", "TIERS_NOM                                                    AMIENS ENERGIES   \n", "COMMUNE                                                               Amiens   \n", "COMMUNE_X                                                           2.290075   \n", "COMMUNE_Y                                                          49.900953   \n", "DOSSIER_DATE_NOTIFICATION                                         18/06/2018   \n", "DOSSIER_DUREE                                                             72   \n", "iNbDossiers                                                                1   \n", "iOp\u00e9rationCout                                                    32688506.0   \n", "iMontantTotal                                                     14661241.0   \n", "\n", "                                                                         111  \n", "DOMAINE                    D1-Energie, changement climatique, qualit\u00e9 de ...  \n", "SOUS_DOMAINE               1ER-Energies renouvelables et de r\u00e9cup\u00e9ration ...  \n", "SOUS_DOMAINE_NIV2                                            1ER.01-Biomasse  \n", "SOUS_DOMAINE_NIV3                    1ER.01.02-Chaufferie biomasse industrie  \n", "DOSSIER_CODE                                                       1803C0022  \n", "DOSSIER_OBJET              Construction d'une installation biomasse sur l...  \n", "TIERS_NOM                                                 TARANIS DU ROUVRAY  \n", "COMMUNE                                             Saint-\u00c9tienne-du-Rouvray  \n", "COMMUNE_X                                                           1.089769  \n", "COMMUNE_Y                                                          49.381494  \n", "DOSSIER_DATE_NOTIFICATION                                         27/07/2018  \n", "DOSSIER_DUREE                                                             96  \n", "iNbDossiers                                                                1  \n", "iOp\u00e9rationCout                                                    43535173.0  \n", "iMontantTotal                                                     14990000.0  \n", "\n", "[15 rows x 514 columns]"]}, "metadata": {}, "output_type": "display_data"}, {"data": {"application/vnd.jupyter.widget-view+json": {"model_id": "124e0f139804401ca0ab16e389b6ad70", "version_major": 2, "version_minor": 2}, "text/plain": ["interactive(children=(Dropdown(description='annee', options=(2018, 2019), value=2018), Dropdown(description='c\u2026"]}, "metadata": {}, "output_type": "display_data"}], "source": ["@interact(annee=[2018, 2019], column=columns, x=(0, 10000000, 100000))\n", "def show_rows(annee=2018, column='montant', x=100000):\n", "    if annee == 2018:\n", "        if column == 'montant':\n", "            column = 'iMontantTotal'\n", "        return df18[df18[column] >= x].sort_values(column).T\n", "    else:\n", "        if column == 'montant':\n", "            column = 'iMontant total'\n", "        return df19[df19[column] >= x].sort_values(column).T"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## Une carte\n", "\n", "On regarde les projets sur la m\u00e9tropole en 2018."]}, {"cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [{"data": {"text/plain": ["((1036, 15), (271, 15))"]}, "execution_count": 13, "metadata": {}, "output_type": "execute_result"}], "source": ["lim_metropole = [-5, 10, 41, 52]\n", "\n", "df18_metro = df18[((df18.COMMUNE_X >= lim_metropole[0]) & (df19.COMMUNE_X <= lim_metropole[1]) &\n", "                   (df18.COMMUNE_Y >= lim_metropole[2]) & (df19.COMMUNE_Y <= lim_metropole[3]))]\n", "df18.shape, df18_metro.shape"]}, {"cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [{"data": {"image/png": 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\n", "text/plain": ["<Figure size 700x700 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["import cartopy.crs as ccrs\n", "import cartopy.feature as cfeature\n", "import matplotlib.pyplot as plt\n", "\n", "fig = plt.figure(figsize=(7, 7))\n", "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n", "ax.set_extent(lim_metropole)\n", "ax.add_feature(cfeature.OCEAN.with_scale('50m'))\n", "ax.add_feature(cfeature.COASTLINE.with_scale('50m'))\n", "ax.add_feature(cfeature.RIVERS.with_scale('50m'))\n", "ax.add_feature(cfeature.BORDERS.with_scale('50m'), linestyle=':')\n", "ax.scatter(df18_metro.COMMUNE_X, df18_metro.COMMUNE_Y,\n", "           s=df18_metro.iMontantTotal ** 0.5 / 20, alpha=0.5)\n", "ax.set_title('France 2018\\ninvestissements verts');\n", "# debug"]}, {"cell_type": "code", "execution_count": 14, "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": "3.10.5"}}, "nbformat": 4, "nbformat_minor": 2}