Autour du SARS-CoV-2 (Covid-19)

module3/exo3/exercice.ipynb

 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import isoweek\n",
+    "\n",
+    "data_url =\"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"\n",
+    "\n",
+    "raw_data = pd.read_csv(data_url, skiprows=1)\n",
+    "raw_data\n",
+    "\n",
+    "raw_data[raw_data.isnull().any(axis=1)] \n",
+    "\n",
+    "data = raw_data.dropna().copy()\n",
+    "data\n",
+    "\n",
+    "def convert_week(year_and_week_int):\n",
+    "    year_and_week_str = str(year_and_week_int)\n",
+    "    year = int(year_and_week_str[:4])\n",
+    "    week = int(year_and_week_str[4:])\n",
+    "    w = isoweek.Week(year, week)\n",
+    "    return pd.Period(w.day(0), 'W')\n",
+    "\n",
+    "data['period'] = [convert_week(yw) for yw in data['week']]\n",
+    "\n",
+    "sorted_data = data.set_index('period').sort_index()\n",
+    "\n",
+    "periods = sorted_data.index\n",
+    "for p1, p2 in zip(periods[:-1], periods[1:]):\n",
+    "    delta = p2.to_timestamp() - p1.end_time\n",
+    "    if delta > pd.Timedelta('1s'):\n",
+    "        print(p1, p2)\n",
+    "        \n",
+    "    sorted_data['inc'].plot()\n",
+    "    \n",
+    "    <matplotlib.axes._subplots.AxesSubplot at 0x1198af710>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
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    "display_name": "Python 3",
@@ -16,10 +81,9 @@
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-   "version": "3.6.3"
+   "version": "3.6.4"
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 }
-