Ajout commentaire

module3/exo1/analyse-syndrome-grippal.ipynb

@@ -57,17 +57,48 @@
     "La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skiprows=1`."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "*Changement du code* : les données ont été écrites au format csv. Le code vérifie que les données sont toujours présentes et les lit en priorité. Sinon, il va les chercher sur l'URL."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "existe\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "1883"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "raw_data = pd.read_csv(data_url, skiprows=1)\n",
+    "#raw_data = pd.read_csv(data_url, skiprows=1)\n",
     "#raw_data\n",
-    "raw_data.to_csv('incidence-PAY-3.csv')\n",
-    "#with open('incidence-PAY-3.csv', 'w') as file:\n",
-    "#    csv.writer(file)"
+    "#raw_data.to_csv('incidence-PAY-3.csv')\n",
+    "import os\n",
+    "if os.path.isfile('incidence-PAY-3.csv'):\n",
+    "    raw_data = pd.read_csv('incidence-PAY-3.csv', skiprows = 1)\n",
+    "    print('existe')\n",
+    "else:\n",
+    "    print(\"n'existe pas\")\n",
+    "    raw_data = pd.read_csv(data_url, skiprows = 1)\n",
+    "len(raw_data)"
    ]
   },
   {
@@ -79,9 +110,72 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>202049</th>\n",
+       "      <th>3</th>\n",
+       "      <th>13273</th>\n",
+       "      <th>10162.0</th>\n",
+       "      <th>16384.0</th>\n",
+       "      <th>20</th>\n",
+       "      <th>15.0</th>\n",
+       "      <th>25.0</th>\n",
+       "      <th>FR</th>\n",
+       "      <th>France</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1646</th>\n",
+       "      <td>1647</td>\n",
+       "      <td>198919</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         0  202049  3  13273  10162.0  16384.0  20  15.0  25.0  FR  France\n",
+       "1646  1647  198919  3      0      NaN      NaN   0   NaN   NaN  FR  France"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "raw_data[raw_data.isnull().any(axis=1)]"
    ]