fix check

module3/exo1/analyse-syndrome-grippal.ipynb

@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -17,7 +17,8 @@
     "import matplotlib.pyplot as plt\n",
     "import pandas as pd\n",
     "import isoweek\n",
-    "import os.path"
+    "import os.path\n",
+    "import urllib.request"
    ]
   },
   {
@@ -38,15 +39,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
-    "raw_file = r'c:/temp.csv'\n",
-    "if( os.path.isfile(raw_file) ):\n",
-    "    raw_data = pd.read_csv(raw_file, skiprows=1)\n",
-    "else:\n",
-    "    raw_data = pd.read_csv(data_url, skiprows=1)"
+    "# copie local si elle n'existe pas\n",
+    "raw_file = r'raw_data.csv'\n",
+    "if not os.path.isfile(raw_file):\n",
+    "    urllib.request.urlretrieve(data_url, raw_file)"
    ]
   },
   {
@@ -73,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1038,12 +1038,13 @@
        "[1996 rows x 10 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
+    "raw_data = pd.read_csv(raw_file, skiprows=1)\n",
     "raw_data"
    ]
   },