Début du code jusqu'à l'écriture des données localement

module3/exo2/Varicelle.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    " %matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import isoweek"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-7.csv\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Voici l'explication des colonnes donnée [sur le site d'origine](http://www.sentiweb.fr/france/fr/?page=json&file=csv-schema-v1&type=csv)\n",
+    "\n",
+    "\n",
+    "|Name\t|Type\t|Description\n",
+    "|--- | --- | --:\n",
+    "|week PK\t|integer\t\t|ISO8601 Yearweek number as numeric (year*100 + week nubmer)\n",
+    "|geo_insee PK\t|string\t\t|Identifier of the geographic area, from INSEE https://www.insee.fr\n",
+    "|geo_name\t|string\t\t|Geographic label of the area, corresponding to INSEE code. This label is not an id and is only provided for human reading\n",
+    "|indicator PK\t|integer\t|\tUnique identifier of the indicator, see metadata document https://www.sentiweb.fr/meta.json\n",
+    "|inc\t|integer\t\t|Estimated incidence value for the time step, in the geographic level\n",
+    "|inc_low\t|integer\t\t|Lower bound of the estimated incidence 95% Confidence Interval\n",
+    "|inc_up\t|integer\t\t|Upper bound of the estimated incidence 95% Confidence Interval\n",
+    "|inc100\t|integer\t\t|Estimated rate incidence per 100,000 inhabitants\n",
+    "|inc100_low\t|integer\t|\tLower bound of the estimated incidence 95% Confidence Interval\n",
+    "|inc100_up\t|integer\t|\tUpper bound of the estimated rate incidence 95% Confidence Interval\n",
+    "\n",
+    "Missing value : -"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Le code ci-dessous est exécuté **une seule fois** afin de créer *localement* le fichier de données."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "raw_data = pd.read_csv(data_url, skiprows=1)\n",
+    "raw_data\n",
+    "raw_data.to_csv('incidence-PAY-7.csv', header = True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

module3/exo2/exercice.ipynb

-{
- "cells": [],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
-