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Commit 34f0de7f authored by 3d1cde3613956104173df2e357578f04's avatar 3d1cde3613956104173df2e357578f04
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Avec correction

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module3/exo1/analyse-syndrome-grippal.ipynb
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......@@ -9,1049 +9,82 @@
},
{
"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 l'incidence du syndrome grippal 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 1984 et se termine avec une semaine récente."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sauvons les données dans un fichier intermediaire si ce fichier n'existe pas"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# df.to_csv('file_name.csv')\n",
"import os.path\n",
"if not os.path.exists('incidence-PAY-3.csv'):\n",
" really_raw_data = pd.read_csv(data_url)\n",
" really_raw_data.df.to_csv('incidence-PAY-3.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": {
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" <td>119326.0</td>\n",
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" <td>143753</td>\n",
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" <td>183610</td>\n",
" <td>172812.0</td>\n",
" <td>194408.0</td>\n",
" <td>279</td>\n",
" <td>263.0</td>\n",
" <td>295.0</td>\n",
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" <td>187957</td>\n",
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" <td>269.0</td>\n",
" <td>301.0</td>\n",
" <td>FR</td>\n",
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" <th>7</th>\n",
" <td>202004</td>\n",
" <td>3</td>\n",
" <td>122331</td>\n",
" <td>113492.0</td>\n",
" <td>131170.0</td>\n",
" <td>186</td>\n",
" <td>173.0</td>\n",
" <td>199.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>8</th>\n",
" <td>202003</td>\n",
" <td>3</td>\n",
" <td>78413</td>\n",
" <td>71330.0</td>\n",
" <td>85496.0</td>\n",
" <td>119</td>\n",
" <td>108.0</td>\n",
" <td>130.0</td>\n",
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" <th>9</th>\n",
" <td>202002</td>\n",
" <td>3</td>\n",
" <td>53614</td>\n",
" <td>47654.0</td>\n",
" <td>59574.0</td>\n",
" <td>81</td>\n",
" <td>72.0</td>\n",
" <td>90.0</td>\n",
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" <th>10</th>\n",
" <td>202001</td>\n",
" <td>3</td>\n",
" <td>36850</td>\n",
" <td>31608.0</td>\n",
" <td>42092.0</td>\n",
" <td>56</td>\n",
" <td>48.0</td>\n",
" <td>64.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>11</th>\n",
" <td>201952</td>\n",
" <td>3</td>\n",
" <td>28135</td>\n",
" <td>23220.0</td>\n",
" <td>33050.0</td>\n",
" <td>43</td>\n",
" <td>36.0</td>\n",
" <td>50.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>12</th>\n",
" <td>201951</td>\n",
" <td>3</td>\n",
" <td>29786</td>\n",
" <td>25042.0</td>\n",
" <td>34530.0</td>\n",
" <td>45</td>\n",
" <td>38.0</td>\n",
" <td>52.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>13</th>\n",
" <td>201950</td>\n",
" <td>3</td>\n",
" <td>34223</td>\n",
" <td>29156.0</td>\n",
" <td>39290.0</td>\n",
" <td>52</td>\n",
" <td>44.0</td>\n",
" <td>60.0</td>\n",
" <td>FR</td>\n",
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" <th>14</th>\n",
" <td>201949</td>\n",
" <td>3</td>\n",
" <td>25662</td>\n",
" <td>21414.0</td>\n",
" <td>29910.0</td>\n",
" <td>39</td>\n",
" <td>33.0</td>\n",
" <td>45.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>15</th>\n",
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" <td>3</td>\n",
" <td>22367</td>\n",
" <td>18055.0</td>\n",
" <td>26679.0</td>\n",
" <td>34</td>\n",
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" <td>41.0</td>\n",
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" <th>16</th>\n",
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" <td>3</td>\n",
" <td>18669</td>\n",
" <td>14759.0</td>\n",
" <td>22579.0</td>\n",
" <td>28</td>\n",
" <td>22.0</td>\n",
" <td>34.0</td>\n",
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" <td>France</td>\n",
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" <th>17</th>\n",
" <td>201946</td>\n",
" <td>3</td>\n",
" <td>16030</td>\n",
" <td>12567.0</td>\n",
" <td>19493.0</td>\n",
" <td>24</td>\n",
" <td>19.0</td>\n",
" <td>29.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>18</th>\n",
" <td>201945</td>\n",
" <td>3</td>\n",
" <td>10138</td>\n",
" <td>7160.0</td>\n",
" <td>13116.0</td>\n",
" <td>15</td>\n",
" <td>10.0</td>\n",
" <td>20.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>19</th>\n",
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" <td>3</td>\n",
" <td>7822</td>\n",
" <td>5010.0</td>\n",
" <td>10634.0</td>\n",
" <td>12</td>\n",
" <td>8.0</td>\n",
" <td>16.0</td>\n",
" <td>FR</td>\n",
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" <tr>\n",
" <th>20</th>\n",
" <td>201943</td>\n",
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" <td>9487</td>\n",
" <td>6448.0</td>\n",
" <td>12526.0</td>\n",
" <td>14</td>\n",
" <td>9.0</td>\n",
" <td>19.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>21</th>\n",
" <td>201942</td>\n",
" <td>3</td>\n",
" <td>7747</td>\n",
" <td>5243.0</td>\n",
" <td>10251.0</td>\n",
" <td>12</td>\n",
" <td>8.0</td>\n",
" <td>16.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>22</th>\n",
" <td>201941</td>\n",
" <td>3</td>\n",
" <td>7122</td>\n",
" <td>4720.0</td>\n",
" <td>9524.0</td>\n",
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" <td>7.0</td>\n",
" <td>15.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>23</th>\n",
" <td>201940</td>\n",
" <td>3</td>\n",
" <td>8505</td>\n",
" <td>5784.0</td>\n",
" <td>11226.0</td>\n",
" <td>13</td>\n",
" <td>9.0</td>\n",
" <td>17.0</td>\n",
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" <td>France</td>\n",
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" <tr>\n",
" <th>24</th>\n",
" <td>201939</td>\n",
" <td>3</td>\n",
" <td>7091</td>\n",
" <td>4462.0</td>\n",
" <td>9720.0</td>\n",
" <td>11</td>\n",
" <td>7.0</td>\n",
" <td>15.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>25</th>\n",
" <td>201938</td>\n",
" <td>3</td>\n",
" <td>4897</td>\n",
" <td>2891.0</td>\n",
" <td>6903.0</td>\n",
" <td>7</td>\n",
" <td>4.0</td>\n",
" <td>10.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>201937</td>\n",
" <td>3</td>\n",
" <td>3172</td>\n",
" <td>1367.0</td>\n",
" <td>4977.0</td>\n",
" <td>5</td>\n",
" <td>2.0</td>\n",
" <td>8.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>201936</td>\n",
" <td>3</td>\n",
" <td>2295</td>\n",
" <td>728.0</td>\n",
" <td>3862.0</td>\n",
" <td>3</td>\n",
" <td>1.0</td>\n",
" <td>5.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>201935</td>\n",
" <td>3</td>\n",
" <td>1010</td>\n",
" <td>2.0</td>\n",
" <td>2018.0</td>\n",
" <td>2</td>\n",
" <td>0.0</td>\n",
" <td>4.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>201934</td>\n",
" <td>3</td>\n",
" <td>1672</td>\n",
" <td>279.0</td>\n",
" <td>3065.0</td>\n",
" <td>3</td>\n",
" <td>1.0</td>\n",
" <td>5.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>...</th>\n",
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" <th>1816</th>\n",
" <td>198521</td>\n",
" <td>3</td>\n",
" <td>26096</td>\n",
" <td>19621.0</td>\n",
" <td>32571.0</td>\n",
" <td>47</td>\n",
" <td>35.0</td>\n",
" <td>59.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1817</th>\n",
" <td>198520</td>\n",
" <td>3</td>\n",
" <td>27896</td>\n",
" <td>20885.0</td>\n",
" <td>34907.0</td>\n",
" <td>51</td>\n",
" <td>38.0</td>\n",
" <td>64.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1818</th>\n",
" <td>198519</td>\n",
" <td>3</td>\n",
" <td>43154</td>\n",
" <td>32821.0</td>\n",
" <td>53487.0</td>\n",
" <td>78</td>\n",
" <td>59.0</td>\n",
" <td>97.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>1819</th>\n",
" <td>198518</td>\n",
" <td>3</td>\n",
" <td>40555</td>\n",
" <td>29935.0</td>\n",
" <td>51175.0</td>\n",
" <td>74</td>\n",
" <td>55.0</td>\n",
" <td>93.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>1820</th>\n",
" <td>198517</td>\n",
" <td>3</td>\n",
" <td>34053</td>\n",
" <td>24366.0</td>\n",
" <td>43740.0</td>\n",
" <td>62</td>\n",
" <td>44.0</td>\n",
" <td>80.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1821</th>\n",
" <td>198516</td>\n",
" <td>3</td>\n",
" <td>50362</td>\n",
" <td>36451.0</td>\n",
" <td>64273.0</td>\n",
" <td>91</td>\n",
" <td>66.0</td>\n",
" <td>116.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1822</th>\n",
" <td>198515</td>\n",
" <td>3</td>\n",
" <td>63881</td>\n",
" <td>45538.0</td>\n",
" <td>82224.0</td>\n",
" <td>116</td>\n",
" <td>83.0</td>\n",
" <td>149.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1823</th>\n",
" <td>198514</td>\n",
" <td>3</td>\n",
" <td>134545</td>\n",
" <td>114400.0</td>\n",
" <td>154690.0</td>\n",
" <td>244</td>\n",
" <td>207.0</td>\n",
" <td>281.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1824</th>\n",
" <td>198513</td>\n",
" <td>3</td>\n",
" <td>197206</td>\n",
" <td>176080.0</td>\n",
" <td>218332.0</td>\n",
" <td>357</td>\n",
" <td>319.0</td>\n",
" <td>395.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1825</th>\n",
" <td>198512</td>\n",
" <td>3</td>\n",
" <td>245240</td>\n",
" <td>223304.0</td>\n",
" <td>267176.0</td>\n",
" <td>445</td>\n",
" <td>405.0</td>\n",
" <td>485.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1826</th>\n",
" <td>198511</td>\n",
" <td>3</td>\n",
" <td>276205</td>\n",
" <td>252399.0</td>\n",
" <td>300011.0</td>\n",
" <td>501</td>\n",
" <td>458.0</td>\n",
" <td>544.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1827</th>\n",
" <td>198510</td>\n",
" <td>3</td>\n",
" <td>353231</td>\n",
" <td>326279.0</td>\n",
" <td>380183.0</td>\n",
" <td>640</td>\n",
" <td>591.0</td>\n",
" <td>689.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1828</th>\n",
" <td>198509</td>\n",
" <td>3</td>\n",
" <td>369895</td>\n",
" <td>341109.0</td>\n",
" <td>398681.0</td>\n",
" <td>670</td>\n",
" <td>618.0</td>\n",
" <td>722.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1829</th>\n",
" <td>198508</td>\n",
" <td>3</td>\n",
" <td>389886</td>\n",
" <td>359529.0</td>\n",
" <td>420243.0</td>\n",
" <td>707</td>\n",
" <td>652.0</td>\n",
" <td>762.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1830</th>\n",
" <td>198507</td>\n",
" <td>3</td>\n",
" <td>471852</td>\n",
" <td>432599.0</td>\n",
" <td>511105.0</td>\n",
" <td>855</td>\n",
" <td>784.0</td>\n",
" <td>926.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1831</th>\n",
" <td>198506</td>\n",
" <td>3</td>\n",
" <td>565825</td>\n",
" <td>518011.0</td>\n",
" <td>613639.0</td>\n",
" <td>1026</td>\n",
" <td>939.0</td>\n",
" <td>1113.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1832</th>\n",
" <td>198505</td>\n",
" <td>3</td>\n",
" <td>637302</td>\n",
" <td>592795.0</td>\n",
" <td>681809.0</td>\n",
" <td>1155</td>\n",
" <td>1074.0</td>\n",
" <td>1236.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1833</th>\n",
" <td>198504</td>\n",
" <td>3</td>\n",
" <td>424937</td>\n",
" <td>390794.0</td>\n",
" <td>459080.0</td>\n",
" <td>770</td>\n",
" <td>708.0</td>\n",
" <td>832.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1834</th>\n",
" <td>198503</td>\n",
" <td>3</td>\n",
" <td>213901</td>\n",
" <td>174689.0</td>\n",
" <td>253113.0</td>\n",
" <td>388</td>\n",
" <td>317.0</td>\n",
" <td>459.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1835</th>\n",
" <td>198502</td>\n",
" <td>3</td>\n",
" <td>97586</td>\n",
" <td>80949.0</td>\n",
" <td>114223.0</td>\n",
" <td>177</td>\n",
" <td>147.0</td>\n",
" <td>207.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1836</th>\n",
" <td>198501</td>\n",
" <td>3</td>\n",
" <td>85489</td>\n",
" <td>65918.0</td>\n",
" <td>105060.0</td>\n",
" <td>155</td>\n",
" <td>120.0</td>\n",
" <td>190.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1837</th>\n",
" <td>198452</td>\n",
" <td>3</td>\n",
" <td>84830</td>\n",
" <td>60602.0</td>\n",
" <td>109058.0</td>\n",
" <td>154</td>\n",
" <td>110.0</td>\n",
" <td>198.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1838</th>\n",
" <td>198451</td>\n",
" <td>3</td>\n",
" <td>101726</td>\n",
" <td>80242.0</td>\n",
" <td>123210.0</td>\n",
" <td>185</td>\n",
" <td>146.0</td>\n",
" <td>224.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1839</th>\n",
" <td>198450</td>\n",
" <td>3</td>\n",
" <td>123680</td>\n",
" <td>101401.0</td>\n",
" <td>145959.0</td>\n",
" <td>225</td>\n",
" <td>184.0</td>\n",
" <td>266.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1840</th>\n",
" <td>198449</td>\n",
" <td>3</td>\n",
" <td>101073</td>\n",
" <td>81684.0</td>\n",
" <td>120462.0</td>\n",
" <td>184</td>\n",
" <td>149.0</td>\n",
" <td>219.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1841</th>\n",
" <td>198448</td>\n",
" <td>3</td>\n",
" <td>78620</td>\n",
" <td>60634.0</td>\n",
" <td>96606.0</td>\n",
" <td>143</td>\n",
" <td>110.0</td>\n",
" <td>176.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1842</th>\n",
" <td>198447</td>\n",
" <td>3</td>\n",
" <td>72029</td>\n",
" <td>54274.0</td>\n",
" <td>89784.0</td>\n",
" <td>131</td>\n",
" <td>99.0</td>\n",
" <td>163.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1843</th>\n",
" <td>198446</td>\n",
" <td>3</td>\n",
" <td>87330</td>\n",
" <td>67686.0</td>\n",
" <td>106974.0</td>\n",
" <td>159</td>\n",
" <td>123.0</td>\n",
" <td>195.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1844</th>\n",
" <td>198445</td>\n",
" <td>3</td>\n",
" <td>135223</td>\n",
" <td>101414.0</td>\n",
" <td>169032.0</td>\n",
" <td>246</td>\n",
" <td>184.0</td>\n",
" <td>308.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1845</th>\n",
" <td>198444</td>\n",
" <td>3</td>\n",
" <td>68422</td>\n",
" <td>20056.0</td>\n",
" <td>116788.0</td>\n",
" <td>125</td>\n",
" <td>37.0</td>\n",
" <td>213.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1846 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202011 3 101704 93652.0 109756.0 154 142.0 \n",
"1 202010 3 104977 96650.0 113304.0 159 146.0 \n",
"2 202009 3 110696 102066.0 119326.0 168 155.0 \n",
"3 202008 3 143753 133984.0 153522.0 218 203.0 \n",
"4 202007 3 183610 172812.0 194408.0 279 263.0 \n",
"5 202006 3 206669 195481.0 217857.0 314 297.0 \n",
"6 202005 3 187957 177445.0 198469.0 285 269.0 \n",
"7 202004 3 122331 113492.0 131170.0 186 173.0 \n",
"8 202003 3 78413 71330.0 85496.0 119 108.0 \n",
"9 202002 3 53614 47654.0 59574.0 81 72.0 \n",
"10 202001 3 36850 31608.0 42092.0 56 48.0 \n",
"11 201952 3 28135 23220.0 33050.0 43 36.0 \n",
"12 201951 3 29786 25042.0 34530.0 45 38.0 \n",
"13 201950 3 34223 29156.0 39290.0 52 44.0 \n",
"14 201949 3 25662 21414.0 29910.0 39 33.0 \n",
"15 201948 3 22367 18055.0 26679.0 34 27.0 \n",
"16 201947 3 18669 14759.0 22579.0 28 22.0 \n",
"17 201946 3 16030 12567.0 19493.0 24 19.0 \n",
"18 201945 3 10138 7160.0 13116.0 15 10.0 \n",
"19 201944 3 7822 5010.0 10634.0 12 8.0 \n",
"20 201943 3 9487 6448.0 12526.0 14 9.0 \n",
"21 201942 3 7747 5243.0 10251.0 12 8.0 \n",
"22 201941 3 7122 4720.0 9524.0 11 7.0 \n",
"23 201940 3 8505 5784.0 11226.0 13 9.0 \n",
"24 201939 3 7091 4462.0 9720.0 11 7.0 \n",
"25 201938 3 4897 2891.0 6903.0 7 4.0 \n",
"26 201937 3 3172 1367.0 4977.0 5 2.0 \n",
"27 201936 3 2295 728.0 3862.0 3 1.0 \n",
"28 201935 3 1010 2.0 2018.0 2 0.0 \n",
"29 201934 3 1672 279.0 3065.0 3 1.0 \n",
"... ... ... ... ... ... ... ... \n",
"1816 198521 3 26096 19621.0 32571.0 47 35.0 \n",
"1817 198520 3 27896 20885.0 34907.0 51 38.0 \n",
"1818 198519 3 43154 32821.0 53487.0 78 59.0 \n",
"1819 198518 3 40555 29935.0 51175.0 74 55.0 \n",
"1820 198517 3 34053 24366.0 43740.0 62 44.0 \n",
"1821 198516 3 50362 36451.0 64273.0 91 66.0 \n",
"1822 198515 3 63881 45538.0 82224.0 116 83.0 \n",
"1823 198514 3 134545 114400.0 154690.0 244 207.0 \n",
"1824 198513 3 197206 176080.0 218332.0 357 319.0 \n",
"1825 198512 3 245240 223304.0 267176.0 445 405.0 \n",
"1826 198511 3 276205 252399.0 300011.0 501 458.0 \n",
"1827 198510 3 353231 326279.0 380183.0 640 591.0 \n",
"1828 198509 3 369895 341109.0 398681.0 670 618.0 \n",
"1829 198508 3 389886 359529.0 420243.0 707 652.0 \n",
"1830 198507 3 471852 432599.0 511105.0 855 784.0 \n",
"1831 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
"1832 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
"1833 198504 3 424937 390794.0 459080.0 770 708.0 \n",
"1834 198503 3 213901 174689.0 253113.0 388 317.0 \n",
"1835 198502 3 97586 80949.0 114223.0 177 147.0 \n",
"1836 198501 3 85489 65918.0 105060.0 155 120.0 \n",
"1837 198452 3 84830 60602.0 109058.0 154 110.0 \n",
"1838 198451 3 101726 80242.0 123210.0 185 146.0 \n",
"1839 198450 3 123680 101401.0 145959.0 225 184.0 \n",
"1840 198449 3 101073 81684.0 120462.0 184 149.0 \n",
"1841 198448 3 78620 60634.0 96606.0 143 110.0 \n",
"1842 198447 3 72029 54274.0 89784.0 131 99.0 \n",
"1843 198446 3 87330 67686.0 106974.0 159 123.0 \n",
"1844 198445 3 135223 101414.0 169032.0 246 184.0 \n",
"1845 198444 3 68422 20056.0 116788.0 125 37.0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 166.0 FR France \n",
"1 172.0 FR France \n",
"2 181.0 FR France \n",
"3 233.0 FR France \n",
"4 295.0 FR France \n",
"5 331.0 FR France \n",
"6 301.0 FR France \n",
"7 199.0 FR France \n",
"8 130.0 FR France \n",
"9 90.0 FR France \n",
"10 64.0 FR France \n",
"11 50.0 FR France \n",
"12 52.0 FR France \n",
"13 60.0 FR France \n",
"14 45.0 FR France \n",
"15 41.0 FR France \n",
"16 34.0 FR France \n",
"17 29.0 FR France \n",
"18 20.0 FR France \n",
"19 16.0 FR France \n",
"20 19.0 FR France \n",
"21 16.0 FR France \n",
"22 15.0 FR France \n",
"23 17.0 FR France \n",
"24 15.0 FR France \n",
"25 10.0 FR France \n",
"26 8.0 FR France \n",
"27 5.0 FR France \n",
"28 4.0 FR France \n",
"29 5.0 FR France \n",
"... ... ... ... \n",
"1816 59.0 FR France \n",
"1817 64.0 FR France \n",
"1818 97.0 FR France \n",
"1819 93.0 FR France \n",
"1820 80.0 FR France \n",
"1821 116.0 FR France \n",
"1822 149.0 FR France \n",
"1823 281.0 FR France \n",
"1824 395.0 FR France \n",
"1825 485.0 FR France \n",
"1826 544.0 FR France \n",
"1827 689.0 FR France \n",
"1828 722.0 FR France \n",
"1829 762.0 FR France \n",
"1830 926.0 FR France \n",
"1831 1113.0 FR France \n",
"1832 1236.0 FR France \n",
"1833 832.0 FR France \n",
"1834 459.0 FR France \n",
"1835 207.0 FR France \n",
"1836 190.0 FR France \n",
"1837 198.0 FR France \n",
"1838 224.0 FR France \n",
"1839 266.0 FR France \n",
"1840 219.0 FR France \n",
"1841 176.0 FR France \n",
"1842 163.0 FR France \n",
"1843 195.0 FR France \n",
"1844 308.0 FR France \n",
"1845 213.0 FR France \n",
"\n",
"[1846 rows x 10 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"execution_count": 7,
"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 l'incidence du syndrome grippal 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 1984 et se termine avec une semaine récente."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sauvons les données dans un fichier intermediaire si ce fichier n'existe pas"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# df.to_csv('file_name.csv')\n",
"import os.path\n",
"if not os.path.exists('incidence-PAY-3.csv'):\n",
" raw_data = pd.read_csv(data_url, skiprows=1)\n",
" raw_data.to_csv('incidence-PAY-3.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": 13,
"metadata": {},
"outputs": [],
"source": [
"raw_data = pd.read_csv('incidence-PAY-3.csv', skiprows=1)\n"
"raw_data = pd.read_csv('incidence-PAY-3.csv')\n"
]
},
{
......@@ -1063,7 +96,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 14,
"metadata": {},
"outputs": [
{
......@@ -1087,6 +120,7 @@
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Unnamed: 0</th>\n",
" <th>week</th>\n",
" <th>indicator</th>\n",
" <th>inc</th>\n",
......@@ -1102,6 +136,7 @@
" <tbody>\n",
" <tr>\n",
" <th>1609</th>\n",
" <td>1609</td>\n",
" <td>198919</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
......@@ -1118,14 +153,14 @@
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low inc100_up \\\n",
"1609 198919 3 0 NaN NaN 0 NaN NaN \n",
" Unnamed: 0 week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"1609 1609 198919 3 0 NaN NaN 0 NaN \n",
"\n",
" geo_insee geo_name \n",
"1609 FR France "
" inc100_up geo_insee geo_name \n",
"1609 NaN FR France "
]
},
"execution_count": 4,
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1143,7 +178,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 15,
"metadata": {},
"outputs": [
{
......@@ -1167,6 +202,7 @@
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Unnamed: 0</th>\n",
" <th>week</th>\n",
" <th>indicator</th>\n",
" <th>inc</th>\n",
......@@ -1182,6 +218,7 @@
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>202011</td>\n",
" <td>3</td>\n",
" <td>101704</td>\n",
......@@ -1195,6 +232,7 @@
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>202010</td>\n",
" <td>3</td>\n",
" <td>104977</td>\n",
......@@ -1208,6 +246,7 @@
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>202009</td>\n",
" <td>3</td>\n",
" <td>110696</td>\n",
......@@ -1221,6 +260,7 @@
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>202008</td>\n",
" <td>3</td>\n",
" <td>143753</td>\n",
......@@ -1234,6 +274,7 @@
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>202007</td>\n",
" <td>3</td>\n",
" <td>183610</td>\n",
......@@ -1247,6 +288,7 @@
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>5</td>\n",
" <td>202006</td>\n",
" <td>3</td>\n",
" <td>206669</td>\n",
......@@ -1260,6 +302,7 @@
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>6</td>\n",
" <td>202005</td>\n",
" <td>3</td>\n",
" <td>187957</td>\n",
......@@ -1273,6 +316,7 @@
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>7</td>\n",
" <td>202004</td>\n",
" <td>3</td>\n",
" <td>122331</td>\n",
......@@ -1286,6 +330,7 @@
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>8</td>\n",
" <td>202003</td>\n",
" <td>3</td>\n",
" <td>78413</td>\n",
......@@ -1299,6 +344,7 @@
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>9</td>\n",
" <td>202002</td>\n",
" <td>3</td>\n",
" <td>53614</td>\n",
......@@ -1312,6 +358,7 @@
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>10</td>\n",
" <td>202001</td>\n",
" <td>3</td>\n",
" <td>36850</td>\n",
......@@ -1325,6 +372,7 @@
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>11</td>\n",
" <td>201952</td>\n",
" <td>3</td>\n",
" <td>28135</td>\n",
......@@ -1338,6 +386,7 @@
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>12</td>\n",
" <td>201951</td>\n",
" <td>3</td>\n",
" <td>29786</td>\n",
......@@ -1351,6 +400,7 @@
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>13</td>\n",
" <td>201950</td>\n",
" <td>3</td>\n",
" <td>34223</td>\n",
......@@ -1364,6 +414,7 @@
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>14</td>\n",
" <td>201949</td>\n",
" <td>3</td>\n",
" <td>25662</td>\n",
......@@ -1377,6 +428,7 @@
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>15</td>\n",
" <td>201948</td>\n",
" <td>3</td>\n",
" <td>22367</td>\n",
......@@ -1390,6 +442,7 @@
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>16</td>\n",
" <td>201947</td>\n",
" <td>3</td>\n",
" <td>18669</td>\n",
......@@ -1403,6 +456,7 @@
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>17</td>\n",
" <td>201946</td>\n",
" <td>3</td>\n",
" <td>16030</td>\n",
......@@ -1416,6 +470,7 @@
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>18</td>\n",
" <td>201945</td>\n",
" <td>3</td>\n",
" <td>10138</td>\n",
......@@ -1429,6 +484,7 @@
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>19</td>\n",
" <td>201944</td>\n",
" <td>3</td>\n",
" <td>7822</td>\n",
......@@ -1442,6 +498,7 @@
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>20</td>\n",
" <td>201943</td>\n",
" <td>3</td>\n",
" <td>9487</td>\n",
......@@ -1455,6 +512,7 @@
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>21</td>\n",
" <td>201942</td>\n",
" <td>3</td>\n",
" <td>7747</td>\n",
......@@ -1468,6 +526,7 @@
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>22</td>\n",
" <td>201941</td>\n",
" <td>3</td>\n",
" <td>7122</td>\n",
......@@ -1481,6 +540,7 @@
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>23</td>\n",
" <td>201940</td>\n",
" <td>3</td>\n",
" <td>8505</td>\n",
......@@ -1494,6 +554,7 @@
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>24</td>\n",
" <td>201939</td>\n",
" <td>3</td>\n",
" <td>7091</td>\n",
......@@ -1507,6 +568,7 @@
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>25</td>\n",
" <td>201938</td>\n",
" <td>3</td>\n",
" <td>4897</td>\n",
......@@ -1520,6 +582,7 @@
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>26</td>\n",
" <td>201937</td>\n",
" <td>3</td>\n",
" <td>3172</td>\n",
......@@ -1533,6 +596,7 @@
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>27</td>\n",
" <td>201936</td>\n",
" <td>3</td>\n",
" <td>2295</td>\n",
......@@ -1546,6 +610,7 @@
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>28</td>\n",
" <td>201935</td>\n",
" <td>3</td>\n",
" <td>1010</td>\n",
......@@ -1559,6 +624,7 @@
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>29</td>\n",
" <td>201934</td>\n",
" <td>3</td>\n",
" <td>1672</td>\n",
......@@ -1582,9 +648,11 @@
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1816</th>\n",
" <td>1816</td>\n",
" <td>198521</td>\n",
" <td>3</td>\n",
" <td>26096</td>\n",
......@@ -1598,6 +666,7 @@
" </tr>\n",
" <tr>\n",
" <th>1817</th>\n",
" <td>1817</td>\n",
" <td>198520</td>\n",
" <td>3</td>\n",
" <td>27896</td>\n",
......@@ -1611,6 +680,7 @@
" </tr>\n",
" <tr>\n",
" <th>1818</th>\n",
" <td>1818</td>\n",
" <td>198519</td>\n",
" <td>3</td>\n",
" <td>43154</td>\n",
......@@ -1624,6 +694,7 @@
" </tr>\n",
" <tr>\n",
" <th>1819</th>\n",
" <td>1819</td>\n",
" <td>198518</td>\n",
" <td>3</td>\n",
" <td>40555</td>\n",
......@@ -1637,6 +708,7 @@
" </tr>\n",
" <tr>\n",
" <th>1820</th>\n",
" <td>1820</td>\n",
" <td>198517</td>\n",
" <td>3</td>\n",
" <td>34053</td>\n",
......@@ -1650,6 +722,7 @@
" </tr>\n",
" <tr>\n",
" <th>1821</th>\n",
" <td>1821</td>\n",
" <td>198516</td>\n",
" <td>3</td>\n",
" <td>50362</td>\n",
......@@ -1663,6 +736,7 @@
" </tr>\n",
" <tr>\n",
" <th>1822</th>\n",
" <td>1822</td>\n",
" <td>198515</td>\n",
" <td>3</td>\n",
" <td>63881</td>\n",
......@@ -1676,6 +750,7 @@
" </tr>\n",
" <tr>\n",
" <th>1823</th>\n",
" <td>1823</td>\n",
" <td>198514</td>\n",
" <td>3</td>\n",
" <td>134545</td>\n",
......@@ -1689,6 +764,7 @@
" </tr>\n",
" <tr>\n",
" <th>1824</th>\n",
" <td>1824</td>\n",
" <td>198513</td>\n",
" <td>3</td>\n",
" <td>197206</td>\n",
......@@ -1702,6 +778,7 @@
" </tr>\n",
" <tr>\n",
" <th>1825</th>\n",
" <td>1825</td>\n",
" <td>198512</td>\n",
" <td>3</td>\n",
" <td>245240</td>\n",
......@@ -1715,6 +792,7 @@
" </tr>\n",
" <tr>\n",
" <th>1826</th>\n",
" <td>1826</td>\n",
" <td>198511</td>\n",
" <td>3</td>\n",
" <td>276205</td>\n",
......@@ -1728,6 +806,7 @@
" </tr>\n",
" <tr>\n",
" <th>1827</th>\n",
" <td>1827</td>\n",
" <td>198510</td>\n",
" <td>3</td>\n",
" <td>353231</td>\n",
......@@ -1741,6 +820,7 @@
" </tr>\n",
" <tr>\n",
" <th>1828</th>\n",
" <td>1828</td>\n",
" <td>198509</td>\n",
" <td>3</td>\n",
" <td>369895</td>\n",
......@@ -1754,6 +834,7 @@
" </tr>\n",
" <tr>\n",
" <th>1829</th>\n",
" <td>1829</td>\n",
" <td>198508</td>\n",
" <td>3</td>\n",
" <td>389886</td>\n",
......@@ -1767,6 +848,7 @@
" </tr>\n",
" <tr>\n",
" <th>1830</th>\n",
" <td>1830</td>\n",
" <td>198507</td>\n",
" <td>3</td>\n",
" <td>471852</td>\n",
......@@ -1780,6 +862,7 @@
" </tr>\n",
" <tr>\n",
" <th>1831</th>\n",
" <td>1831</td>\n",
" <td>198506</td>\n",
" <td>3</td>\n",
" <td>565825</td>\n",
......@@ -1793,6 +876,7 @@
" </tr>\n",
" <tr>\n",
" <th>1832</th>\n",
" <td>1832</td>\n",
" <td>198505</td>\n",
" <td>3</td>\n",
" <td>637302</td>\n",
......@@ -1806,6 +890,7 @@
" </tr>\n",
" <tr>\n",
" <th>1833</th>\n",
" <td>1833</td>\n",
" <td>198504</td>\n",
" <td>3</td>\n",
" <td>424937</td>\n",
......@@ -1819,6 +904,7 @@
" </tr>\n",
" <tr>\n",
" <th>1834</th>\n",
" <td>1834</td>\n",
" <td>198503</td>\n",
" <td>3</td>\n",
" <td>213901</td>\n",
......@@ -1832,6 +918,7 @@
" </tr>\n",
" <tr>\n",
" <th>1835</th>\n",
" <td>1835</td>\n",
" <td>198502</td>\n",
" <td>3</td>\n",
" <td>97586</td>\n",
......@@ -1845,6 +932,7 @@
" </tr>\n",
" <tr>\n",
" <th>1836</th>\n",
" <td>1836</td>\n",
" <td>198501</td>\n",
" <td>3</td>\n",
" <td>85489</td>\n",
......@@ -1858,6 +946,7 @@
" </tr>\n",
" <tr>\n",
" <th>1837</th>\n",
" <td>1837</td>\n",
" <td>198452</td>\n",
" <td>3</td>\n",
" <td>84830</td>\n",
......@@ -1871,6 +960,7 @@
" </tr>\n",
" <tr>\n",
" <th>1838</th>\n",
" <td>1838</td>\n",
" <td>198451</td>\n",
" <td>3</td>\n",
" <td>101726</td>\n",
......@@ -1884,6 +974,7 @@
" </tr>\n",
" <tr>\n",
" <th>1839</th>\n",
" <td>1839</td>\n",
" <td>198450</td>\n",
" <td>3</td>\n",
" <td>123680</td>\n",
......@@ -1897,6 +988,7 @@
" </tr>\n",
" <tr>\n",
" <th>1840</th>\n",
" <td>1840</td>\n",
" <td>198449</td>\n",
" <td>3</td>\n",
" <td>101073</td>\n",
......@@ -1910,6 +1002,7 @@
" </tr>\n",
" <tr>\n",
" <th>1841</th>\n",
" <td>1841</td>\n",
" <td>198448</td>\n",
" <td>3</td>\n",
" <td>78620</td>\n",
......@@ -1923,6 +1016,7 @@
" </tr>\n",
" <tr>\n",
" <th>1842</th>\n",
" <td>1842</td>\n",
" <td>198447</td>\n",
" <td>3</td>\n",
" <td>72029</td>\n",
......@@ -1936,6 +1030,7 @@
" </tr>\n",
" <tr>\n",
" <th>1843</th>\n",
" <td>1843</td>\n",
" <td>198446</td>\n",
" <td>3</td>\n",
" <td>87330</td>\n",
......@@ -1949,6 +1044,7 @@
" </tr>\n",
" <tr>\n",
" <th>1844</th>\n",
" <td>1844</td>\n",
" <td>198445</td>\n",
" <td>3</td>\n",
" <td>135223</td>\n",
......@@ -1962,6 +1058,7 @@
" </tr>\n",
" <tr>\n",
" <th>1845</th>\n",
" <td>1845</td>\n",
" <td>198444</td>\n",
" <td>3</td>\n",
" <td>68422</td>\n",
......@@ -1975,140 +1072,140 @@
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1845 rows × 10 columns</p>\n",
"<p>1845 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202011 3 101704 93652.0 109756.0 154 142.0 \n",
"1 202010 3 104977 96650.0 113304.0 159 146.0 \n",
"2 202009 3 110696 102066.0 119326.0 168 155.0 \n",
"3 202008 3 143753 133984.0 153522.0 218 203.0 \n",
"4 202007 3 183610 172812.0 194408.0 279 263.0 \n",
"5 202006 3 206669 195481.0 217857.0 314 297.0 \n",
"6 202005 3 187957 177445.0 198469.0 285 269.0 \n",
"7 202004 3 122331 113492.0 131170.0 186 173.0 \n",
"8 202003 3 78413 71330.0 85496.0 119 108.0 \n",
"9 202002 3 53614 47654.0 59574.0 81 72.0 \n",
"10 202001 3 36850 31608.0 42092.0 56 48.0 \n",
"11 201952 3 28135 23220.0 33050.0 43 36.0 \n",
"12 201951 3 29786 25042.0 34530.0 45 38.0 \n",
"13 201950 3 34223 29156.0 39290.0 52 44.0 \n",
"14 201949 3 25662 21414.0 29910.0 39 33.0 \n",
"15 201948 3 22367 18055.0 26679.0 34 27.0 \n",
"16 201947 3 18669 14759.0 22579.0 28 22.0 \n",
"17 201946 3 16030 12567.0 19493.0 24 19.0 \n",
"18 201945 3 10138 7160.0 13116.0 15 10.0 \n",
"19 201944 3 7822 5010.0 10634.0 12 8.0 \n",
"20 201943 3 9487 6448.0 12526.0 14 9.0 \n",
"21 201942 3 7747 5243.0 10251.0 12 8.0 \n",
"22 201941 3 7122 4720.0 9524.0 11 7.0 \n",
"23 201940 3 8505 5784.0 11226.0 13 9.0 \n",
"24 201939 3 7091 4462.0 9720.0 11 7.0 \n",
"25 201938 3 4897 2891.0 6903.0 7 4.0 \n",
"26 201937 3 3172 1367.0 4977.0 5 2.0 \n",
"27 201936 3 2295 728.0 3862.0 3 1.0 \n",
"28 201935 3 1010 2.0 2018.0 2 0.0 \n",
"29 201934 3 1672 279.0 3065.0 3 1.0 \n",
"... ... ... ... ... ... ... ... \n",
"1816 198521 3 26096 19621.0 32571.0 47 35.0 \n",
"1817 198520 3 27896 20885.0 34907.0 51 38.0 \n",
"1818 198519 3 43154 32821.0 53487.0 78 59.0 \n",
"1819 198518 3 40555 29935.0 51175.0 74 55.0 \n",
"1820 198517 3 34053 24366.0 43740.0 62 44.0 \n",
"1821 198516 3 50362 36451.0 64273.0 91 66.0 \n",
"1822 198515 3 63881 45538.0 82224.0 116 83.0 \n",
"1823 198514 3 134545 114400.0 154690.0 244 207.0 \n",
"1824 198513 3 197206 176080.0 218332.0 357 319.0 \n",
"1825 198512 3 245240 223304.0 267176.0 445 405.0 \n",
"1826 198511 3 276205 252399.0 300011.0 501 458.0 \n",
"1827 198510 3 353231 326279.0 380183.0 640 591.0 \n",
"1828 198509 3 369895 341109.0 398681.0 670 618.0 \n",
"1829 198508 3 389886 359529.0 420243.0 707 652.0 \n",
"1830 198507 3 471852 432599.0 511105.0 855 784.0 \n",
"1831 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
"1832 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
"1833 198504 3 424937 390794.0 459080.0 770 708.0 \n",
"1834 198503 3 213901 174689.0 253113.0 388 317.0 \n",
"1835 198502 3 97586 80949.0 114223.0 177 147.0 \n",
"1836 198501 3 85489 65918.0 105060.0 155 120.0 \n",
"1837 198452 3 84830 60602.0 109058.0 154 110.0 \n",
"1838 198451 3 101726 80242.0 123210.0 185 146.0 \n",
"1839 198450 3 123680 101401.0 145959.0 225 184.0 \n",
"1840 198449 3 101073 81684.0 120462.0 184 149.0 \n",
"1841 198448 3 78620 60634.0 96606.0 143 110.0 \n",
"1842 198447 3 72029 54274.0 89784.0 131 99.0 \n",
"1843 198446 3 87330 67686.0 106974.0 159 123.0 \n",
"1844 198445 3 135223 101414.0 169032.0 246 184.0 \n",
"1845 198444 3 68422 20056.0 116788.0 125 37.0 \n",
" Unnamed: 0 week indicator inc inc_low inc_up inc100 \\\n",
"0 0 202011 3 101704 93652.0 109756.0 154 \n",
"1 1 202010 3 104977 96650.0 113304.0 159 \n",
"2 2 202009 3 110696 102066.0 119326.0 168 \n",
"3 3 202008 3 143753 133984.0 153522.0 218 \n",
"4 4 202007 3 183610 172812.0 194408.0 279 \n",
"5 5 202006 3 206669 195481.0 217857.0 314 \n",
"6 6 202005 3 187957 177445.0 198469.0 285 \n",
"7 7 202004 3 122331 113492.0 131170.0 186 \n",
"8 8 202003 3 78413 71330.0 85496.0 119 \n",
"9 9 202002 3 53614 47654.0 59574.0 81 \n",
"10 10 202001 3 36850 31608.0 42092.0 56 \n",
"11 11 201952 3 28135 23220.0 33050.0 43 \n",
"12 12 201951 3 29786 25042.0 34530.0 45 \n",
"13 13 201950 3 34223 29156.0 39290.0 52 \n",
"14 14 201949 3 25662 21414.0 29910.0 39 \n",
"15 15 201948 3 22367 18055.0 26679.0 34 \n",
"16 16 201947 3 18669 14759.0 22579.0 28 \n",
"17 17 201946 3 16030 12567.0 19493.0 24 \n",
"18 18 201945 3 10138 7160.0 13116.0 15 \n",
"19 19 201944 3 7822 5010.0 10634.0 12 \n",
"20 20 201943 3 9487 6448.0 12526.0 14 \n",
"21 21 201942 3 7747 5243.0 10251.0 12 \n",
"22 22 201941 3 7122 4720.0 9524.0 11 \n",
"23 23 201940 3 8505 5784.0 11226.0 13 \n",
"24 24 201939 3 7091 4462.0 9720.0 11 \n",
"25 25 201938 3 4897 2891.0 6903.0 7 \n",
"26 26 201937 3 3172 1367.0 4977.0 5 \n",
"27 27 201936 3 2295 728.0 3862.0 3 \n",
"28 28 201935 3 1010 2.0 2018.0 2 \n",
"29 29 201934 3 1672 279.0 3065.0 3 \n",
"... ... ... ... ... ... ... ... \n",
"1816 1816 198521 3 26096 19621.0 32571.0 47 \n",
"1817 1817 198520 3 27896 20885.0 34907.0 51 \n",
"1818 1818 198519 3 43154 32821.0 53487.0 78 \n",
"1819 1819 198518 3 40555 29935.0 51175.0 74 \n",
"1820 1820 198517 3 34053 24366.0 43740.0 62 \n",
"1821 1821 198516 3 50362 36451.0 64273.0 91 \n",
"1822 1822 198515 3 63881 45538.0 82224.0 116 \n",
"1823 1823 198514 3 134545 114400.0 154690.0 244 \n",
"1824 1824 198513 3 197206 176080.0 218332.0 357 \n",
"1825 1825 198512 3 245240 223304.0 267176.0 445 \n",
"1826 1826 198511 3 276205 252399.0 300011.0 501 \n",
"1827 1827 198510 3 353231 326279.0 380183.0 640 \n",
"1828 1828 198509 3 369895 341109.0 398681.0 670 \n",
"1829 1829 198508 3 389886 359529.0 420243.0 707 \n",
"1830 1830 198507 3 471852 432599.0 511105.0 855 \n",
"1831 1831 198506 3 565825 518011.0 613639.0 1026 \n",
"1832 1832 198505 3 637302 592795.0 681809.0 1155 \n",
"1833 1833 198504 3 424937 390794.0 459080.0 770 \n",
"1834 1834 198503 3 213901 174689.0 253113.0 388 \n",
"1835 1835 198502 3 97586 80949.0 114223.0 177 \n",
"1836 1836 198501 3 85489 65918.0 105060.0 155 \n",
"1837 1837 198452 3 84830 60602.0 109058.0 154 \n",
"1838 1838 198451 3 101726 80242.0 123210.0 185 \n",
"1839 1839 198450 3 123680 101401.0 145959.0 225 \n",
"1840 1840 198449 3 101073 81684.0 120462.0 184 \n",
"1841 1841 198448 3 78620 60634.0 96606.0 143 \n",
"1842 1842 198447 3 72029 54274.0 89784.0 131 \n",
"1843 1843 198446 3 87330 67686.0 106974.0 159 \n",
"1844 1844 198445 3 135223 101414.0 169032.0 246 \n",
"1845 1845 198444 3 68422 20056.0 116788.0 125 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 166.0 FR France \n",
"1 172.0 FR France \n",
"2 181.0 FR France \n",
"3 233.0 FR France \n",
"4 295.0 FR France \n",
"5 331.0 FR France \n",
"6 301.0 FR France \n",
"7 199.0 FR France \n",
"8 130.0 FR France \n",
"9 90.0 FR France \n",
"10 64.0 FR France \n",
"11 50.0 FR France \n",
"12 52.0 FR France \n",
"13 60.0 FR France \n",
"14 45.0 FR France \n",
"15 41.0 FR France \n",
"16 34.0 FR France \n",
"17 29.0 FR France \n",
"18 20.0 FR France \n",
"19 16.0 FR France \n",
"20 19.0 FR France \n",
"21 16.0 FR France \n",
"22 15.0 FR France \n",
"23 17.0 FR France \n",
"24 15.0 FR France \n",
"25 10.0 FR France \n",
"26 8.0 FR France \n",
"27 5.0 FR France \n",
"28 4.0 FR France \n",
"29 5.0 FR France \n",
"... ... ... ... \n",
"1816 59.0 FR France \n",
"1817 64.0 FR France \n",
"1818 97.0 FR France \n",
"1819 93.0 FR France \n",
"1820 80.0 FR France \n",
"1821 116.0 FR France \n",
"1822 149.0 FR France \n",
"1823 281.0 FR France \n",
"1824 395.0 FR France \n",
"1825 485.0 FR France \n",
"1826 544.0 FR France \n",
"1827 689.0 FR France \n",
"1828 722.0 FR France \n",
"1829 762.0 FR France \n",
"1830 926.0 FR France \n",
"1831 1113.0 FR France \n",
"1832 1236.0 FR France \n",
"1833 832.0 FR France \n",
"1834 459.0 FR France \n",
"1835 207.0 FR France \n",
"1836 190.0 FR France \n",
"1837 198.0 FR France \n",
"1838 224.0 FR France \n",
"1839 266.0 FR France \n",
"1840 219.0 FR France \n",
"1841 176.0 FR France \n",
"1842 163.0 FR France \n",
"1843 195.0 FR France \n",
"1844 308.0 FR France \n",
"1845 213.0 FR France \n",
" inc100_low inc100_up geo_insee geo_name \n",
"0 142.0 166.0 FR France \n",
"1 146.0 172.0 FR France \n",
"2 155.0 181.0 FR France \n",
"3 203.0 233.0 FR France \n",
"4 263.0 295.0 FR France \n",
"5 297.0 331.0 FR France \n",
"6 269.0 301.0 FR France \n",
"7 173.0 199.0 FR France \n",
"8 108.0 130.0 FR France \n",
"9 72.0 90.0 FR France \n",
"10 48.0 64.0 FR France \n",
"11 36.0 50.0 FR France \n",
"12 38.0 52.0 FR France \n",
"13 44.0 60.0 FR France \n",
"14 33.0 45.0 FR France \n",
"15 27.0 41.0 FR France \n",
"16 22.0 34.0 FR France \n",
"17 19.0 29.0 FR France \n",
"18 10.0 20.0 FR France \n",
"19 8.0 16.0 FR France \n",
"20 9.0 19.0 FR France \n",
"21 8.0 16.0 FR France \n",
"22 7.0 15.0 FR France \n",
"23 9.0 17.0 FR France \n",
"24 7.0 15.0 FR France \n",
"25 4.0 10.0 FR France \n",
"26 2.0 8.0 FR France \n",
"27 1.0 5.0 FR France \n",
"28 0.0 4.0 FR France \n",
"29 1.0 5.0 FR France \n",
"... ... ... ... ... \n",
"1816 35.0 59.0 FR France \n",
"1817 38.0 64.0 FR France \n",
"1818 59.0 97.0 FR France \n",
"1819 55.0 93.0 FR France \n",
"1820 44.0 80.0 FR France \n",
"1821 66.0 116.0 FR France \n",
"1822 83.0 149.0 FR France \n",
"1823 207.0 281.0 FR France \n",
"1824 319.0 395.0 FR France \n",
"1825 405.0 485.0 FR France \n",
"1826 458.0 544.0 FR France \n",
"1827 591.0 689.0 FR France \n",
"1828 618.0 722.0 FR France \n",
"1829 652.0 762.0 FR France \n",
"1830 784.0 926.0 FR France \n",
"1831 939.0 1113.0 FR France \n",
"1832 1074.0 1236.0 FR France \n",
"1833 708.0 832.0 FR France \n",
"1834 317.0 459.0 FR France \n",
"1835 147.0 207.0 FR France \n",
"1836 120.0 190.0 FR France \n",
"1837 110.0 198.0 FR France \n",
"1838 146.0 224.0 FR France \n",
"1839 184.0 266.0 FR France \n",
"1840 149.0 219.0 FR France \n",
"1841 110.0 176.0 FR France \n",
"1842 99.0 163.0 FR France \n",
"1843 123.0 195.0 FR France \n",
"1844 184.0 308.0 FR France \n",
"1845 37.0 213.0 FR France \n",
"\n",
"[1845 rows x 10 columns]"
"[1845 rows x 11 columns]"
]
},
"execution_count": 5,
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
......@@ -2138,7 +1235,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
......@@ -2168,7 +1265,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
......@@ -2193,7 +1290,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 18,
"metadata": {},
"outputs": [
{
......@@ -2221,16 +1318,16 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f69effdec50>"
"<matplotlib.axes._subplots.AxesSubplot at 0x7fd3b7b56630>"
]
},
"execution_count": 9,
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
......@@ -2260,16 +1357,16 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f69edec5eb8>"
"<matplotlib.axes._subplots.AxesSubplot at 0x7fd3b5928748>"
]
},
"execution_count": 10,
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
},
......@@ -2320,7 +1417,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
......@@ -2340,7 +1437,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
......@@ -2364,16 +1461,16 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f69ede0d860>"
"<matplotlib.axes._subplots.AxesSubplot at 0x7fd3b58363c8>"
]
},
"execution_count": 13,
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
......@@ -2403,7 +1500,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 24,
"metadata": {},
"outputs": [
{
......@@ -2446,7 +1543,7 @@
"dtype: int64"
]
},
"execution_count": 14,
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
......@@ -2465,16 +1562,16 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f69edea9f60>"
"<matplotlib.axes._subplots.AxesSubplot at 0x7fd3b581eb38>"
]
},
"execution_count": 15,
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
},
......@@ -2498,9 +1595,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"metadata": {},
"outputs": [],
"source": []
}
......
module3/exo1/incidence-PAY-3.csv 0 → 100644
View file @ 34f0de7f
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