update with half of the solution for the gerry mandering

sdpython · Oct 23, 2016 · e48322d · e48322d
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diff --git a/.gitignore b/.gitignore
@@ -284,4 +284,5 @@ _doc/notebooks/population/toxicode_circonscriptions_legislatives/*
 _doc/notebooks/population/LG12_BV_T1T2/*
 _doc/notebooks/population/__MACOSX/*
 _doc/notebooks/population/*.htm
+_doc/notebooks/population/fond07*.*
 
diff --git a/_doc/notebooks/population/election_carte_electorale.ipynb b/_doc/notebooks/population/election_carte_electorale.ipynb
@@ -170,6 +170,7 @@
         "* [Countours des circonscriptions des l\u00e9gislatives](https://www.data.gouv.fr/fr/datasets/countours-des-circonscriptions-des-legislatives-nd/)\n",
         "* [Localisation des buraux de votes](http://www.xavierdupre.fr/enseignement/complements/bureauxvotegeo.zip)\n",
         "* [Localisation des villes](https://github.com/sdpython/actuariat_python/raw/master/src/actuariat_python/data/data_elections/villes_geo.zip)\n",
+        "* [Localisation des bureaux de vote avec Cartelec](http://www.cartelec.net/?page_id=3609), cette base requiert la conversion des coordonn\u00e9es (lire ce [notebook](http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx3/notebooks/td1a_cenonce_session_12.html#cartographie))\n",
         "\n",
         "Il est conseill\u00e9 de t\u00e9l\u00e9charger directement ces donn\u00e9es. Les paragraphes suivants expliquent comment ceux-ci ont \u00e9t\u00e9 r\u00e9cup\u00e9r\u00e9s ou construit. Il n'est pas imm\u00e9diat d'obtenir la localisation des bureaux de vote. Celle-ci n'est d'ailleurs pas compl\u00e8te."
       ]
@@ -1397,14 +1398,131 @@
         "villes_geo.head()"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "collapsed": true
+      },
+      "source": [
+        "## G\u00e9olocation des bureaux de vote avec Cart\u00e9lec\n",
+        "\n",
+        "Le site [cartelec](http://www.cartelec.net/?page_id=3609) recense beaucoup plus de bureaux de vote mais pour les \u00e9lections 2007. Ils ne devraient pas avoir chang\u00e9 beaucoup."
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "collapsed": true
+        "collapsed": false
       },
-      "outputs": [],
-      "source": []
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "['fond0710.dbf', 'fond0710.shp', 'fond0710.shx']"
+            ]
+          },
+          "execution_count": null,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "from pyensae.datasource import download_data\n",
+        "shp_vote = download_data(\"base_cartelec_2007_2010.zip\")\n",
+        "shp_vote"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "(50578, 50578)"
+            ]
+          },
+          "execution_count": null,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "import shapefile\n",
+        "r = shapefile.Reader(\"fond0710.shp\")\n",
+        "shapes = r.shapes()\n",
+        "records = r.records()\n",
+        "len(shapes), len(records)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "{'BUREAU': '01001',\n",
+              " 'CANTON': '04',\n",
+              " 'CODE': b\"L'Abergement-Cl\\xe9menciat\",\n",
+              " 'CODEARRT': '01',\n",
+              " 'CODECANT': 'CHATILLON-SUR-CHALARONNE',\n",
+              " 'CODEDEP': '82',\n",
+              " 'CODEREG': '10',\n",
+              " 'DeletionFlag': '01001',\n",
+              " 'NOM': '012'}"
+            ]
+          },
+          "execution_count": null,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "{k[0]:v for k,v in zip(r.fields, records[0])}"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "[[846774.7025280485, 6563840.655779875],\n",
+              " [847430.4726776106, 6566444.631470905],\n",
+              " [848975.0615885032, 6566530.102978201],\n",
+              " [849532.5253064571, 6565971.4588501565],\n",
+              " [848969.0813380895, 6564398.911644492],\n",
+              " [850941.7401535356, 6563209.5425065085],\n",
+              " [849896.4212796891, 6562719.844144765],\n",
+              " [849632.2745031306, 6561522.415193593],\n",
+              " [849891.0276243397, 6560738.406460746],\n",
+              " [848732.0257644501, 6559575.068823495],\n",
+              " [848585.9032087281, 6560169.582690463],\n",
+              " [847664.0345600601, 6560616.395794825],\n",
+              " [847793.2580021, 6562243.125831007],\n",
+              " [846774.7025280485, 6563840.655779875]]"
+            ]
+          },
+          "execution_count": null,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "shapes[0].points"
+      ]
     },
     {
       "cell_type": "markdown",