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   "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>"
   ]
  },
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