add folium examples

lewagon · Apr 25, 2015 · cd956cf · cd956cf
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diff --git a/s4/.ipynb_checkpoints/04 - Visualiser des données géographiques avec Folium-checkpoint.ipynb b/s4/.ipynb_checkpoints/04 - Visualiser des données géographiques avec Folium-checkpoint.ipynb
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+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:6730aed8c27e8e9cbdcc5ae324c9f219f241c468139079d76df452fbbbd9a22e"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Visualiser des donn\u00e9es g\u00e9ographiques avec la librairie Folium"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Pouvoir repr\u00e9senter une carte est souvent une composante essentielle d'une analyse de donn\u00e9es. \n",
+      "\n",
+      "La librairie **Folium** permet de cr\u00e9er facilement des cartes interactives. Vous pouvez en lire plus sur la documentation officielle - https://www.pypi.python.org/pypi/folium\n",
+      "\n",
+      "Dans cette partie, vous verrez : \n",
+      "\n",
+      "- Comment int\u00e9grer une carte interactive au sein de l'environnement iPython\n",
+      "- Comment tracer des points \u00e0 partir d\"un DataFrame \n",
+      "- Comment tracer des zones, en utilisant des rep\u00e8res TopoJSON"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Cr\u00e9er des cartes et des rep\u00e8res"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Installez la librairie folium depuis votre terminal gr\u00e2ce \u00e0 pip : "
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "pip install folium"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Nous importons tout d'abord la librairie folium ainsi que le module HTML de iPython :"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import folium\n",
+      "from IPython.display import HTML"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Nous d\u00e9finissons ensuite une fonction **inline_map** qui renvoie un iframe HTML pouvant s'int\u00e9grer au sein de notre document iPython"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def inline_map(map):\n",
+      "    map._build_map()\n",
+      "    return HTML('<iframe srcdoc=\"{srcdoc}\" style=\"width: 100%; height: 510px; border: none\"></iframe>'.format(srcdoc=map.HTML.replace('\"', '&quot;')))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Nous d\u00e9finissons les param\u00e8tres d'affichage de notre carte en pr\u00e9cisant son centre et le zoom \u00e0 utiliser :"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "map = folium.Map(location=[48.8655909,2.378983], zoom_start=6)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "inline_map(map)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Cr\u00e9er des rep\u00e8res \u00e0 partir d'une DataFrame"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Cr\u00e9er des zones \u00e0 partir de fichiers GeoJSON"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import pandas as pd"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "mcdo = pd.read_csv(\"data/McDonalds_Fr.csv\",encoding='latin-1')"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "for x in mcdo.values:\n",
+      "    location = []\n",
+      "    location.append(x[1])\n",
+      "    location.append(x[0])\n",
+      "    map.circle_marker(location,radius=4,fill_color='red',popup=x[2])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}