From be31464e16ff46cec7e0157ae673c87a05eee4e7 Mon Sep 17 00:00:00 2001
From: 8828a1b9a602a4411b6afa92853c5253
 <8828a1b9a602a4411b6afa92853c5253@app-learninglab.inria.fr>
Date: Sat, 6 Jun 2020 12:56:30 +0000
Subject: [PATCH] Exercise03_part2

---
 module3/exo1/analyse-syndrome-grippal.ipynb | 36 ++++-----------------
 1 file changed, 6 insertions(+), 30 deletions(-)

diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb
index c15621f..e06159a 100644
--- a/module3/exo1/analyse-syndrome-grippal.ipynb
+++ b/module3/exo1/analyse-syndrome-grippal.ipynb
@@ -57,25 +57,11 @@
     "La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skiprows=1`."
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note that the data will be only dowloaded if a local copy does not exist. If that is the case, a local copy of the data will be created after it has been downloaded"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Local copy loaded\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -1044,17 +1030,7 @@
     }
    ],
    "source": [
-    "try:\n",
-    "    #Check if the local copy already exists\n",
-    "    raw_data = pd.read_csv('raw_data_backup.csv')\n",
-    "    print(\"Local copy loaded\")\n",
-    "except FileNotFoundError:\n",
-    "    print(\"Local copy does not exist. The data will be downloaded again an a local copy will be created\")\n",
-    "    raw_data = pd.read_csv(data_url, skiprows=1)\n",
-    "    raw_data.to_csv('raw_data_backup.csv',index=False)\n",
-    "except:\n",
-    "    print(\"Other error ocurred\")\n",
-    "    \n",
+    "raw_data = pd.read_csv(data_url, skiprows=1)\n",
     "raw_data"
    ]
   },
@@ -2231,7 +2207,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f78c92b4a90>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa1a2ea0ba8>"
       ]
      },
      "execution_count": 9,
@@ -2270,7 +2246,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f78c707c898>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa1a0cc4a90>"
       ]
      },
      "execution_count": 10,
@@ -2324,7 +2300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2374,7 +2350,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f78c6faa5c0>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa1a0bbbb00>"
       ]
      },
      "execution_count": 13,
@@ -2475,7 +2451,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f78c6f832e8>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa1a0b1c128>"
       ]
      },
      "execution_count": 15,
-- 
2.18.1