no commit message

module3/exo1/analyse-syndrome-grippal.ipynb

@@ -26,6 +26,43 @@
     "Les données de l'incidence du syndrome grippal sont disponibles du site Web du [Réseau Sentinelles](http://www.sentiweb.fr/). Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée. Nous téléchargeons toujours le jeu de données complet, qui commence en 1984 et se termine avec une semaine récente."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Modifications 08/04/2020 \n",
+    "il est préférable de faire d'abord une copie des données, puis utiliser cette copie dans le document computationnelle. Donc pour le fichier de données : \n",
+    " 1. Si le fichier local n'existe pas, téléchargez les données et déposez-les dans le fichier local.\n",
+    " 2. Lisez le fichier CSV local."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "False\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os.path\n",
+    "import requests\n",
+    "if os.path.isfile(\"incidence-PAY-3.csv\") == False:\n",
+    "    url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"  \n",
+    "    \n",
+    "    req = requests.get(url)\n",
+    "    url_content = req.content\n",
+    "    csv_file = open(\"incidence-PAY-3.csv\", 'wb')\n",
+    "    csv_file.write(url_content)\n",
+    "    csv_file.close()\n",
+    "data_url = \"incidence-PAY-3.csv\""
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -34,7 +71,7 @@
    },
    "outputs": [],
    "source": [
-    "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
+    "#data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
    ]
   },
   {
@@ -61,9 +98,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'pd' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-4-c6940997bed1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mraw_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mskiprows\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mraw_data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
+     ]
+    }
+   ],
    "source": [
     "raw_data = pd.read_csv(data_url, skiprows=1)\n",
     "raw_data"
@@ -364,7 +413,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.1"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,

module3/exo3/Wheat.csv

+"","Year","Wheat","Wages"
+"1",1565,41,5
+"2",1570,45,5.05
+"3",1575,42,5.08
+"4",1580,49,5.12
+"5",1585,41.5,5.15
+"6",1590,47,5.25
+"7",1595,64,5.54
+"8",1600,27,5.61
+"9",1605,33,5.69
+"10",1610,32,5.78
+"11",1615,33,5.94
+"12",1620,35,6.01
+"13",1625,33,6.12
+"14",1630,45,6.22
+"15",1635,33,6.3
+"16",1640,39,6.37
+"17",1645,53,6.45
+"18",1650,42,6.5
+"19",1655,40.5,6.6
+"20",1660,46.5,6.75
+"21",1665,32,6.8
+"22",1670,37,6.9
+"23",1675,43,7
+"24",1680,35,7.3
+"25",1685,27,7.6
+"26",1690,40,8
+"27",1695,50,8.5
+"28",1700,30,9
+"29",1705,32,10
+"30",1710,44,11
+"31",1715,33,11.75
+"32",1720,29,12.5
+"33",1725,39,13
+"34",1730,26,13.3
+"35",1735,32,13.6
+"36",1740,27,14
+"37",1745,27.5,14.5
+"38",1750,31,15
+"39",1755,35.5,15.7
+"40",1760,31,16.5
+"41",1765,43,17.6
+"42",1770,47,18.5
+"43",1775,44,19.5
+"44",1780,46,21
+"45",1785,42,23
+"46",1790,47.5,25.5
+"47",1795,76,27.5
+"48",1800,79,28.5
+"49",1805,81,29.5
+"50",1810,99,30
+"51",1815,78,NA
+"52",1820,54,NA
+"53",1821,54,NA