From 1528d0a03ac35957602ab2633d21ee0779b6f1ac Mon Sep 17 00:00:00 2001
From: 32f4bf506e1520a72648c3586598851b
 <32f4bf506e1520a72648c3586598851b@app-learninglab.inria.fr>
Date: Mon, 20 Apr 2020 13:46:21 +0000
Subject: [PATCH] Exercide 3 (1re partie)_1er essai

---
 module3/exo1/analyse-syndrome-grippal.ipynb | 30 +++++++++++++++++++--
 1 file changed, 28 insertions(+), 2 deletions(-)

diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb
index 59d72b5..0206777 100644
--- a/module3/exo1/analyse-syndrome-grippal.ipynb
+++ b/module3/exo1/analyse-syndrome-grippal.ipynb
@@ -16,7 +16,8 @@
     "%matplotlib inline\n",
     "import matplotlib.pyplot as plt\n",
     "import pandas as pd\n",
-    "import isoweek"
+    "import isoweek\n",
+    "import os"
    ]
   },
   {
@@ -69,6 +70,31 @@
     "raw_data"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Je fais un fichier de sauvegarde des données"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "output_name = \"Sauvegarde_donnees_syndrome_grippal\"\n",
+    "output_file = os.path(output_name+'.csv')\n",
+    "if output_file.exists ():\n",
+    "    print(\"output file exists already\")\n",
+    "    raw_data = pd.read_csv(output_file)\n",
+    "else:\n",
+    "    print(\"output file created\")\n",
+    "    raw_data = pd.read_csv(data_url, skiprows=1)\n",
+    "    raw_data.to_csv(output_name+'.csv')\n",
+    "raw_data"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -364,7 +390,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.1"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
-- 
2.18.1