first commit exo2

module3/exo2/exercice_fr.ipynb

 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import isoweek"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Lecture du jeu de données\n",
+    "La première ligne du fichier csv est retirée car il s'agit d'un commentaire"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "raw_data = pd.read_csv(\"incidence-PAY-7.csv\", skiprows=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Rapide examen visuel des data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "        week  indicator    inc  inc_low  inc_up  inc100  inc100_low  \\\n",
+      "0     202334          7   1665        0    3429       3           0   \n",
+      "1     202333          7   3345     1201    5489       5           2   \n",
+      "2     202332          7   8009     1132   14886      12           2   \n",
+      "3     202331          7   3318     1398    5238       5           2   \n",
+      "4     202330          7   5821     3269    8373       9           5   \n",
+      "...      ...        ...    ...      ...     ...     ...         ...   \n",
+      "1703  199101          7  15565    10271   20859      27          18   \n",
+      "1704  199052          7  19375    13295   25455      34          23   \n",
+      "1705  199051          7  19080    13807   24353      34          25   \n",
+      "1706  199050          7  11079     6660   15498      20          12   \n",
+      "1707  199049          7   1143        0    2610       2           0   \n",
+      "\n",
+      "      inc100_up geo_insee geo_name  \n",
+      "0             6        FR   France  \n",
+      "1             8        FR   France  \n",
+      "2            22        FR   France  \n",
+      "3             8        FR   France  \n",
+      "4            13        FR   France  \n",
+      "...         ...       ...      ...  \n",
+      "1703         36        FR   France  \n",
+      "1704         45        FR   France  \n",
+      "1705         43        FR   France  \n",
+      "1706         28        FR   France  \n",
+      "1707          5        FR   France  \n",
+      "\n",
+      "[1708 rows x 10 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(raw_data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "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>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [week, indicator, inc, inc_low, inc_up, inc100, inc100_low, inc100_up, geo_insee, geo_name]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data[raw_data.isnull().any(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +161,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-