{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyse de la Varicelle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import isoweek"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Les données de la varicelle sont disponibles du site Web du [Réseau Sentinelles](http://www.sentiweb.fr/). Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée. Nous téléchargeons toujours le jeu de données complet, qui commence en 1991 et se termine avec une semaine récente.\n",
    "La base de donnees a ete telechargee a cette adresse https://www.sentiweb.fr/datasets/incidence-PAY-7.csv?v=ater7."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.chdir(os.getcwd())\n",
    "data_url = \"../Source/20240110_incidence-PAY-7.csv\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Voici l'explication des colonnes données [sur le site d'origine](https://ns.sentiweb.fr/incidence/csv-schema-v1.json):\n",
    "\n",
    "| Nom de colonne | Libellé de colonne                                                                                                                |\n",
    "|----------------|-----------------------------------------------------------------------------------------------------------------------------------|\n",
    "| week           | Semaine calendaire (ISO 8601)                                                                                                     |\n",
    "| indicator      | Code de l'indicateur de surveillance                                                                                              |\n",
    "| inc            | Estimation de l'incidence de consultations en nombre de cas                                                                       |\n",
    "| inc_low        | Estimation de la borne inférieure de l'IC95% du nombre de cas de consultation                                                     |\n",
    "| inc_up         | Estimation de la borne supérieure de l'IC95% du nombre de cas de consultation                                                     |\n",
    "| inc100         | Estimation du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants)                                   |\n",
    "| inc100_low     | Estimation de la borne inférieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |\n",
    "| inc100_up      | Estimation de la borne supérieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |\n",
    "| geo_insee      | Code de la zone géographique concernée (Code INSEE) http://www.insee.fr/fr/methodes/nomenclatures/cog/                            |\n",
    "| geo_name       | Libellé de la zone géographique (ce libellé peut être modifié sans préavis)                                                       |\n",
    "\n",
    "La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skiprows=1`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>202352</td>\n",
       "      <td>7</td>\n",
       "      <td>13369</td>\n",
       "      <td>8309</td>\n",
       "      <td>18429</td>\n",
       "      <td>20</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>202351</td>\n",
       "      <td>7</td>\n",
       "      <td>6940</td>\n",
       "      <td>4244</td>\n",
       "      <td>9636</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>202350</td>\n",
       "      <td>7</td>\n",
       "      <td>8799</td>\n",
       "      <td>6215</td>\n",
       "      <td>11383</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>17</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202349</td>\n",
       "      <td>7</td>\n",
       "      <td>7817</td>\n",
       "      <td>5362</td>\n",
       "      <td>10272</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>202348</td>\n",
       "      <td>7</td>\n",
       "      <td>7351</td>\n",
       "      <td>4749</td>\n",
       "      <td>9953</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1721</th>\n",
       "      <td>199101</td>\n",
       "      <td>7</td>\n",
       "      <td>15565</td>\n",
       "      <td>10271</td>\n",
       "      <td>20859</td>\n",
       "      <td>27</td>\n",
       "      <td>18</td>\n",
       "      <td>36</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1722</th>\n",
       "      <td>199052</td>\n",
       "      <td>7</td>\n",
       "      <td>19375</td>\n",
       "      <td>13295</td>\n",
       "      <td>25455</td>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1723</th>\n",
       "      <td>199051</td>\n",
       "      <td>7</td>\n",
       "      <td>19080</td>\n",
       "      <td>13807</td>\n",
       "      <td>24353</td>\n",
       "      <td>34</td>\n",
       "      <td>25</td>\n",
       "      <td>43</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1724</th>\n",
       "      <td>199050</td>\n",
       "      <td>7</td>\n",
       "      <td>11079</td>\n",
       "      <td>6660</td>\n",
       "      <td>15498</td>\n",
       "      <td>20</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1725</th>\n",
       "      <td>199049</td>\n",
       "      <td>7</td>\n",
       "      <td>1143</td>\n",
       "      <td>0</td>\n",
       "      <td>2610</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1726 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        week  indicator    inc  inc_low  inc_up  inc100  inc100_low  \\\n",
       "0     202352          7  13369     8309   18429      20          12   \n",
       "1     202351          7   6940     4244    9636      10           6   \n",
       "2     202350          7   8799     6215   11383      13           9   \n",
       "3     202349          7   7817     5362   10272      12           8   \n",
       "4     202348          7   7351     4749    9953      11           7   \n",
       "...      ...        ...    ...      ...     ...     ...         ...   \n",
       "1721  199101          7  15565    10271   20859      27          18   \n",
       "1722  199052          7  19375    13295   25455      34          23   \n",
       "1723  199051          7  19080    13807   24353      34          25   \n",
       "1724  199050          7  11079     6660   15498      20          12   \n",
       "1725  199049          7   1143        0    2610       2           0   \n",
       "\n",
       "      inc100_up geo_insee geo_name  \n",
       "0            28        FR   France  \n",
       "1            14        FR   France  \n",
       "2            17        FR   France  \n",
       "3            16        FR   France  \n",
       "4            15        FR   France  \n",
       "...         ...       ...      ...  \n",
       "1721         36        FR   France  \n",
       "1722         45        FR   France  \n",
       "1723         43        FR   France  \n",
       "1724         28        FR   France  \n",
       "1725          5        FR   France  \n",
       "\n",
       "[1726 rows x 10 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_data = pd.read_csv(data_url, skiprows=1)\n",
    "raw_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Y a-t-il des points manquants dans ce jeux de données ? Non aucune"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "\n",
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       "</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": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_data[raw_data.isnull().any(axis=1)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nos données utilisent une convention inhabituelle: le numéro de\n",
    "semaine est collé à l'année, donnant l'impression qu'il s'agit\n",
    "de nombre entier. C'est comme ça que Pandas les interprète.\n",
    "  \n",
    "Un deuxième problème est que Pandas ne comprend pas les numéros de\n",
    "semaine.  Il faut lui fournir les dates de début et de fin de\n",
    "semaine. Nous utilisons pour cela la bibliothèque `isoweek`.\n",
    "\n",
    "Comme la conversion des semaines est devenu assez complexe, nous\n",
    "écrivons une petite fonction Python pour cela. Ensuite, nous\n",
    "l'appliquons à tous les points de nos donnés. Les résultats vont\n",
    "dans une nouvelle colonne 'period'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "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']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Il restent deux petites modifications à faire.\n",
    "\n",
    "Premièrement, nous définissons les périodes d'observation\n",
    "comme nouvel index de notre jeux de données. Ceci en fait\n",
    "une suite chronologique, ce qui sera pratique par la suite.\n",
    "\n",
    "Deuxièmement, nous trions les points par période, dans\n",
    "le sens chronologique."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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",
       "    <tr>\n",
       "      <th>period</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1990-12-03/1990-12-09</th>\n",
       "      <td>199049</td>\n",
       "      <td>7</td>\n",
       "      <td>1143</td>\n",
       "      <td>0</td>\n",
       "      <td>2610</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
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       "    <tr>\n",
       "      <th>1990-12-10/1990-12-16</th>\n",
       "      <td>199050</td>\n",
       "      <td>7</td>\n",
       "      <td>11079</td>\n",
       "      <td>6660</td>\n",
       "      <td>15498</td>\n",
       "      <td>20</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-12-17/1990-12-23</th>\n",
       "      <td>199051</td>\n",
       "      <td>7</td>\n",
       "      <td>19080</td>\n",
       "      <td>13807</td>\n",
       "      <td>24353</td>\n",
       "      <td>34</td>\n",
       "      <td>25</td>\n",
       "      <td>43</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-12-24/1990-12-30</th>\n",
       "      <td>199052</td>\n",
       "      <td>7</td>\n",
       "      <td>19375</td>\n",
       "      <td>13295</td>\n",
       "      <td>25455</td>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-12-31/1991-01-06</th>\n",
       "      <td>199101</td>\n",
       "      <td>7</td>\n",
       "      <td>15565</td>\n",
       "      <td>10271</td>\n",
       "      <td>20859</td>\n",
       "      <td>27</td>\n",
       "      <td>18</td>\n",
       "      <td>36</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-11-27/2023-12-03</th>\n",
       "      <td>202348</td>\n",
       "      <td>7</td>\n",
       "      <td>7351</td>\n",
       "      <td>4749</td>\n",
       "      <td>9953</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-04/2023-12-10</th>\n",
       "      <td>202349</td>\n",
       "      <td>7</td>\n",
       "      <td>7817</td>\n",
       "      <td>5362</td>\n",
       "      <td>10272</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-11/2023-12-17</th>\n",
       "      <td>202350</td>\n",
       "      <td>7</td>\n",
       "      <td>8799</td>\n",
       "      <td>6215</td>\n",
       "      <td>11383</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>17</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-18/2023-12-24</th>\n",
       "      <td>202351</td>\n",
       "      <td>7</td>\n",
       "      <td>6940</td>\n",
       "      <td>4244</td>\n",
       "      <td>9636</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-25/2023-12-31</th>\n",
       "      <td>202352</td>\n",
       "      <td>7</td>\n",
       "      <td>13369</td>\n",
       "      <td>8309</td>\n",
       "      <td>18429</td>\n",
       "      <td>20</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1726 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         week  indicator    inc  inc_low  inc_up  inc100  \\\n",
       "period                                                                     \n",
       "1990-12-03/1990-12-09  199049          7   1143        0    2610       2   \n",
       "1990-12-10/1990-12-16  199050          7  11079     6660   15498      20   \n",
       "1990-12-17/1990-12-23  199051          7  19080    13807   24353      34   \n",
       "1990-12-24/1990-12-30  199052          7  19375    13295   25455      34   \n",
       "1990-12-31/1991-01-06  199101          7  15565    10271   20859      27   \n",
       "...                       ...        ...    ...      ...     ...     ...   \n",
       "2023-11-27/2023-12-03  202348          7   7351     4749    9953      11   \n",
       "2023-12-04/2023-12-10  202349          7   7817     5362   10272      12   \n",
       "2023-12-11/2023-12-17  202350          7   8799     6215   11383      13   \n",
       "2023-12-18/2023-12-24  202351          7   6940     4244    9636      10   \n",
       "2023-12-25/2023-12-31  202352          7  13369     8309   18429      20   \n",
       "\n",
       "                       inc100_low  inc100_up geo_insee geo_name  \n",
       "period                                                           \n",
       "1990-12-03/1990-12-09           0          5        FR   France  \n",
       "1990-12-10/1990-12-16          12         28        FR   France  \n",
       "1990-12-17/1990-12-23          25         43        FR   France  \n",
       "1990-12-24/1990-12-30          23         45        FR   France  \n",
       "1990-12-31/1991-01-06          18         36        FR   France  \n",
       "...                           ...        ...       ...      ...  \n",
       "2023-11-27/2023-12-03           7         15        FR   France  \n",
       "2023-12-04/2023-12-10           8         16        FR   France  \n",
       "2023-12-11/2023-12-17           9         17        FR   France  \n",
       "2023-12-18/2023-12-24           6         14        FR   France  \n",
       "2023-12-25/2023-12-31          12         28        FR   France  \n",
       "\n",
       "[1726 rows x 10 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted_data = data.set_index('period').sort_index()\n",
    "sorted_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous vérifions la cohérence des données. Entre la fin d'une période et\n",
    "le début de la période qui suit, la différence temporelle doit être\n",
    "zéro, ou au moins très faible. Nous laissons une \"marge d'erreur\"\n",
    "d'une seconde.\n",
    "\n",
    "Ceci s'avère tout à fait juste."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "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)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Un premier regard sur les données !"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='period'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(sorted_data['week'],sorted_data['inc'])\n",
    "plt.show()\n",
    "sorted_data['inc'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Un zoom sur les dernières années montre mieux la situation des pics en hiver. Le creux des incidences se trouve en été."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='period'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sorted_data['inc'][-200:].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Etude du Nombre de Cas par Annee"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Etant donné que le pic de l'épidémie se situe en hiver, à cheval\n",
    "entre deux années civiles, nous définissons la période de référence\n",
    "entre deux minima de nombre de cas, du 1er août de l'année $N$ au\n",
    "1er août de l'année $N+1$.\n",
    "\n",
    "Notre tâche est un peu compliquée par le fait que l'année ne comporte\n",
    "pas un nombre entier de semaines. Nous modifions donc un peu nos périodes\n",
    "de référence: à la place du 1er août de chaque année, nous utilisons le\n",
    "premier jour de la semaine qui contient le 1er septembre.\n",
    "\n",
    "Comme l'incidence de syndrome grippal est très faible en été, cette\n",
    "modification ne risque pas de fausser nos conclusions.\n",
    "\n",
    "Encore un petit détail: les données commencent en decembre 1991, ce qui\n",
    "rend la première année incomplète. Nous commençons donc l'analyse en 1992."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "first_september_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n",
    "                     for y in range(1992,\n",
    "                                    sorted_data.index[-1].year)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En partant de cette liste des semaines qui contiennent un 1er août, nous obtenons nos intervalles d'environ un an comme les périodes entre deux semaines adjacentes dans cette liste. Nous calculons les sommes des incidences hebdomadaires pour toutes ces périodes.\n",
    "\n",
    "Nous vérifions également que ces périodes contiennent entre 51 et 52 semaines, pour nous protéger contre des éventuelles erreurs dans notre code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "year = []\n",
    "yearly_incidence = []\n",
    "for week1, week2 in zip(first_september_week[:-1],\n",
    "                        first_september_week[1:]):\n",
    "    one_year = sorted_data['inc'][week1:week2-1]\n",
    "    assert abs(len(one_year)-52) < 2\n",
    "    yearly_incidence.append(one_year.sum())\n",
    "    year.append(week2.year)\n",
    "yearly_incidence = pd.Series(data=yearly_incidence, index=year)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Voici les incidences annuelles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yearly_incidence.plot(style='*')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Une liste triée permet de plus facilement répérer les valeurs les plus élevées (à la fin)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2020    221186\n",
       "2021    376290\n",
       "2002    516689\n",
       "2018    542312\n",
       "2017    551041\n",
       "1996    564901\n",
       "2019    584066\n",
       "2015    604382\n",
       "2000    617597\n",
       "2001    619041\n",
       "2012    624573\n",
       "2005    628464\n",
       "2006    632833\n",
       "2022    641397\n",
       "2011    642368\n",
       "1993    643387\n",
       "1995    652478\n",
       "1994    661409\n",
       "1998    677775\n",
       "1997    683434\n",
       "2014    685769\n",
       "2013    698332\n",
       "2007    717352\n",
       "2008    749478\n",
       "1999    756456\n",
       "2003    758363\n",
       "2004    777388\n",
       "2016    782114\n",
       "2010    829911\n",
       "2009    842373\n",
       "dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yearly_incidence.sort_values()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Enfin, un histogramme montre bien que les épidémies fortes, qui touchent environ 10% de la population\n",
    "  française, sont assez rares: il y en eu trois au cours des 35 dernières années."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yearly_incidence.hist(xrot=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}