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Commit dfa2a0e2 authored by 7cb84b8d37d239738c7c51278d3e7831's avatar 7cb84b8d37d239738c7c51278d3e7831
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Update analyse-syndrome-grippal.ipynb

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module3/exo1/analyse-syndrome-grippal.ipynb
View file @ dfa2a0e2
......@@ -9,14 +9,16 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"import isoweek"
"import isoweek\n",
"import os.path\n",
"import urllib.request"
]
},
{
......@@ -26,15 +28,23 @@
"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": "markdown",
"metadata": {},
"source": [
"On vérifie que les données sont présentes en local sinon on les télécharge au lien sentiweb.\n",
"Ceci pour assurer une cohérence des données (pas de mise à jour non maitrisée)."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"\n",
"if not os.path.isfile(\"incidence-PAY-3.csv\"):\n",
" urllib.request.urlretrieve(data_url, 'incidence-PAY-3.csv')"
]
},
{
......@@ -61,11 +71,978 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
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" vertical-align: middle;\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",
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" <tr>\n",
" <th>0</th>\n",
" <td>202045</td>\n",
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" <td>France</td>\n",
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" <td>202044</td>\n",
" <td>3</td>\n",
" <td>44561</td>\n",
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" <td>50607.0</td>\n",
" <td>68</td>\n",
" <td>59.0</td>\n",
" <td>77.0</td>\n",
" <td>FR</td>\n",
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" <td>43737</td>\n",
" <td>37523.0</td>\n",
" <td>49951.0</td>\n",
" <td>66</td>\n",
" <td>57.0</td>\n",
" <td>75.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>3</th>\n",
" <td>202042</td>\n",
" <td>3</td>\n",
" <td>35145</td>\n",
" <td>29812.0</td>\n",
" <td>40478.0</td>\n",
" <td>53</td>\n",
" <td>45.0</td>\n",
" <td>61.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>4</th>\n",
" <td>202041</td>\n",
" <td>3</td>\n",
" <td>27877</td>\n",
" <td>23206.0</td>\n",
" <td>32548.0</td>\n",
" <td>42</td>\n",
" <td>35.0</td>\n",
" <td>49.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>5</th>\n",
" <td>202040</td>\n",
" <td>3</td>\n",
" <td>20443</td>\n",
" <td>16381.0</td>\n",
" <td>24505.0</td>\n",
" <td>31</td>\n",
" <td>25.0</td>\n",
" <td>37.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>6</th>\n",
" <td>202039</td>\n",
" <td>3</td>\n",
" <td>19810</td>\n",
" <td>15900.0</td>\n",
" <td>23720.0</td>\n",
" <td>30</td>\n",
" <td>24.0</td>\n",
" <td>36.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>202038</td>\n",
" <td>3</td>\n",
" <td>25562</td>\n",
" <td>21142.0</td>\n",
" <td>29982.0</td>\n",
" <td>39</td>\n",
" <td>32.0</td>\n",
" <td>46.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>202037</td>\n",
" <td>3</td>\n",
" <td>18485</td>\n",
" <td>14649.0</td>\n",
" <td>22321.0</td>\n",
" <td>28</td>\n",
" <td>22.0</td>\n",
" <td>34.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>202036</td>\n",
" <td>3</td>\n",
" <td>10390</td>\n",
" <td>7646.0</td>\n",
" <td>13134.0</td>\n",
" <td>16</td>\n",
" <td>12.0</td>\n",
" <td>20.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>202035</td>\n",
" <td>3</td>\n",
" <td>9918</td>\n",
" <td>6842.0</td>\n",
" <td>12994.0</td>\n",
" <td>15</td>\n",
" <td>10.0</td>\n",
" <td>20.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>202034</td>\n",
" <td>3</td>\n",
" <td>6084</td>\n",
" <td>3090.0</td>\n",
" <td>9078.0</td>\n",
" <td>9</td>\n",
" <td>4.0</td>\n",
" <td>14.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>202033</td>\n",
" <td>3</td>\n",
" <td>6106</td>\n",
" <td>3411.0</td>\n",
" <td>8801.0</td>\n",
" <td>9</td>\n",
" <td>5.0</td>\n",
" <td>13.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>202032</td>\n",
" <td>3</td>\n",
" <td>5918</td>\n",
" <td>3330.0</td>\n",
" <td>8506.0</td>\n",
" <td>9</td>\n",
" <td>5.0</td>\n",
" <td>13.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>202031</td>\n",
" <td>3</td>\n",
" <td>4351</td>\n",
" <td>2269.0</td>\n",
" <td>6433.0</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>15</th>\n",
" <td>202030</td>\n",
" <td>3</td>\n",
" <td>8179</td>\n",
" <td>5442.0</td>\n",
" <td>10916.0</td>\n",
" <td>12</td>\n",
" <td>8.0</td>\n",
" <td>16.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>202029</td>\n",
" <td>3</td>\n",
" <td>8687</td>\n",
" <td>5860.0</td>\n",
" <td>11514.0</td>\n",
" <td>13</td>\n",
" <td>9.0</td>\n",
" <td>17.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>202028</td>\n",
" <td>3</td>\n",
" <td>8340</td>\n",
" <td>5701.0</td>\n",
" <td>10979.0</td>\n",
" <td>13</td>\n",
" <td>9.0</td>\n",
" <td>17.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>202027</td>\n",
" <td>3</td>\n",
" <td>4066</td>\n",
" <td>2406.0</td>\n",
" <td>5726.0</td>\n",
" <td>6</td>\n",
" <td>3.0</td>\n",
" <td>9.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>202026</td>\n",
" <td>3</td>\n",
" <td>4039</td>\n",
" <td>2389.0</td>\n",
" <td>5689.0</td>\n",
" <td>6</td>\n",
" <td>3.0</td>\n",
" <td>9.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>202025</td>\n",
" <td>3</td>\n",
" <td>2853</td>\n",
" <td>1488.0</td>\n",
" <td>4218.0</td>\n",
" <td>4</td>\n",
" <td>2.0</td>\n",
" <td>6.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>202024</td>\n",
" <td>3</td>\n",
" <td>3058</td>\n",
" <td>1690.0</td>\n",
" <td>4426.0</td>\n",
" <td>5</td>\n",
" <td>3.0</td>\n",
" <td>7.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>202023</td>\n",
" <td>3</td>\n",
" <td>4168</td>\n",
" <td>2468.0</td>\n",
" <td>5868.0</td>\n",
" <td>6</td>\n",
" <td>3.0</td>\n",
" <td>9.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>202022</td>\n",
" <td>3</td>\n",
" <td>3580</td>\n",
" <td>1947.0</td>\n",
" <td>5213.0</td>\n",
" <td>5</td>\n",
" <td>3.0</td>\n",
" <td>7.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>202021</td>\n",
" <td>3</td>\n",
" <td>6114</td>\n",
" <td>4026.0</td>\n",
" <td>8202.0</td>\n",
" <td>9</td>\n",
" <td>6.0</td>\n",
" <td>12.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>202020</td>\n",
" <td>3</td>\n",
" <td>9315</td>\n",
" <td>6775.0</td>\n",
" <td>11855.0</td>\n",
" <td>14</td>\n",
" <td>10.0</td>\n",
" <td>18.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>202019</td>\n",
" <td>3</td>\n",
" <td>11679</td>\n",
" <td>8722.0</td>\n",
" <td>14636.0</td>\n",
" <td>18</td>\n",
" <td>14.0</td>\n",
" <td>22.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>202018</td>\n",
" <td>3</td>\n",
" <td>16398</td>\n",
" <td>12851.0</td>\n",
" <td>19945.0</td>\n",
" <td>25</td>\n",
" <td>20.0</td>\n",
" <td>30.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>202017</td>\n",
" <td>3</td>\n",
" <td>18082</td>\n",
" <td>14454.0</td>\n",
" <td>21710.0</td>\n",
" <td>27</td>\n",
" <td>21.0</td>\n",
" <td>33.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>202016</td>\n",
" <td>3</td>\n",
" <td>24165</td>\n",
" <td>19893.0</td>\n",
" <td>28437.0</td>\n",
" <td>37</td>\n",
" <td>31.0</td>\n",
" <td>43.0</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>1850</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>1851</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>1852</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",
" </tr>\n",
" <tr>\n",
" <th>1853</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",
" </tr>\n",
" <tr>\n",
" <th>1854</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>1855</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>1856</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>1857</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>1858</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>1859</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>1860</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>1861</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>1862</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>1863</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>1864</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>1865</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>1866</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>1867</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>1868</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>1869</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>1870</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>1871</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>1872</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>1873</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>1874</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>1875</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>1876</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>1877</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>1878</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>1879</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>1880 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202045 3 43236 37452.0 49020.0 66 57.0 \n",
"1 202044 3 44561 38515.0 50607.0 68 59.0 \n",
"2 202043 3 43737 37523.0 49951.0 66 57.0 \n",
"3 202042 3 35145 29812.0 40478.0 53 45.0 \n",
"4 202041 3 27877 23206.0 32548.0 42 35.0 \n",
"5 202040 3 20443 16381.0 24505.0 31 25.0 \n",
"6 202039 3 19810 15900.0 23720.0 30 24.0 \n",
"7 202038 3 25562 21142.0 29982.0 39 32.0 \n",
"8 202037 3 18485 14649.0 22321.0 28 22.0 \n",
"9 202036 3 10390 7646.0 13134.0 16 12.0 \n",
"10 202035 3 9918 6842.0 12994.0 15 10.0 \n",
"11 202034 3 6084 3090.0 9078.0 9 4.0 \n",
"12 202033 3 6106 3411.0 8801.0 9 5.0 \n",
"13 202032 3 5918 3330.0 8506.0 9 5.0 \n",
"14 202031 3 4351 2269.0 6433.0 7 4.0 \n",
"15 202030 3 8179 5442.0 10916.0 12 8.0 \n",
"16 202029 3 8687 5860.0 11514.0 13 9.0 \n",
"17 202028 3 8340 5701.0 10979.0 13 9.0 \n",
"18 202027 3 4066 2406.0 5726.0 6 3.0 \n",
"19 202026 3 4039 2389.0 5689.0 6 3.0 \n",
"20 202025 3 2853 1488.0 4218.0 4 2.0 \n",
"21 202024 3 3058 1690.0 4426.0 5 3.0 \n",
"22 202023 3 4168 2468.0 5868.0 6 3.0 \n",
"23 202022 3 3580 1947.0 5213.0 5 3.0 \n",
"24 202021 3 6114 4026.0 8202.0 9 6.0 \n",
"25 202020 3 9315 6775.0 11855.0 14 10.0 \n",
"26 202019 3 11679 8722.0 14636.0 18 14.0 \n",
"27 202018 3 16398 12851.0 19945.0 25 20.0 \n",
"28 202017 3 18082 14454.0 21710.0 27 21.0 \n",
"29 202016 3 24165 19893.0 28437.0 37 31.0 \n",
"... ... ... ... ... ... ... ... \n",
"1850 198521 3 26096 19621.0 32571.0 47 35.0 \n",
"1851 198520 3 27896 20885.0 34907.0 51 38.0 \n",
"1852 198519 3 43154 32821.0 53487.0 78 59.0 \n",
"1853 198518 3 40555 29935.0 51175.0 74 55.0 \n",
"1854 198517 3 34053 24366.0 43740.0 62 44.0 \n",
"1855 198516 3 50362 36451.0 64273.0 91 66.0 \n",
"1856 198515 3 63881 45538.0 82224.0 116 83.0 \n",
"1857 198514 3 134545 114400.0 154690.0 244 207.0 \n",
"1858 198513 3 197206 176080.0 218332.0 357 319.0 \n",
"1859 198512 3 245240 223304.0 267176.0 445 405.0 \n",
"1860 198511 3 276205 252399.0 300011.0 501 458.0 \n",
"1861 198510 3 353231 326279.0 380183.0 640 591.0 \n",
"1862 198509 3 369895 341109.0 398681.0 670 618.0 \n",
"1863 198508 3 389886 359529.0 420243.0 707 652.0 \n",
"1864 198507 3 471852 432599.0 511105.0 855 784.0 \n",
"1865 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
"1866 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
"1867 198504 3 424937 390794.0 459080.0 770 708.0 \n",
"1868 198503 3 213901 174689.0 253113.0 388 317.0 \n",
"1869 198502 3 97586 80949.0 114223.0 177 147.0 \n",
"1870 198501 3 85489 65918.0 105060.0 155 120.0 \n",
"1871 198452 3 84830 60602.0 109058.0 154 110.0 \n",
"1872 198451 3 101726 80242.0 123210.0 185 146.0 \n",
"1873 198450 3 123680 101401.0 145959.0 225 184.0 \n",
"1874 198449 3 101073 81684.0 120462.0 184 149.0 \n",
"1875 198448 3 78620 60634.0 96606.0 143 110.0 \n",
"1876 198447 3 72029 54274.0 89784.0 131 99.0 \n",
"1877 198446 3 87330 67686.0 106974.0 159 123.0 \n",
"1878 198445 3 135223 101414.0 169032.0 246 184.0 \n",
"1879 198444 3 68422 20056.0 116788.0 125 37.0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 75.0 FR France \n",
"1 77.0 FR France \n",
"2 75.0 FR France \n",
"3 61.0 FR France \n",
"4 49.0 FR France \n",
"5 37.0 FR France \n",
"6 36.0 FR France \n",
"7 46.0 FR France \n",
"8 34.0 FR France \n",
"9 20.0 FR France \n",
"10 20.0 FR France \n",
"11 14.0 FR France \n",
"12 13.0 FR France \n",
"13 13.0 FR France \n",
"14 10.0 FR France \n",
"15 16.0 FR France \n",
"16 17.0 FR France \n",
"17 17.0 FR France \n",
"18 9.0 FR France \n",
"19 9.0 FR France \n",
"20 6.0 FR France \n",
"21 7.0 FR France \n",
"22 9.0 FR France \n",
"23 7.0 FR France \n",
"24 12.0 FR France \n",
"25 18.0 FR France \n",
"26 22.0 FR France \n",
"27 30.0 FR France \n",
"28 33.0 FR France \n",
"29 43.0 FR France \n",
"... ... ... ... \n",
"1850 59.0 FR France \n",
"1851 64.0 FR France \n",
"1852 97.0 FR France \n",
"1853 93.0 FR France \n",
"1854 80.0 FR France \n",
"1855 116.0 FR France \n",
"1856 149.0 FR France \n",
"1857 281.0 FR France \n",
"1858 395.0 FR France \n",
"1859 485.0 FR France \n",
"1860 544.0 FR France \n",
"1861 689.0 FR France \n",
"1862 722.0 FR France \n",
"1863 762.0 FR France \n",
"1864 926.0 FR France \n",
"1865 1113.0 FR France \n",
"1866 1236.0 FR France \n",
"1867 832.0 FR France \n",
"1868 459.0 FR France \n",
"1869 207.0 FR France \n",
"1870 190.0 FR France \n",
"1871 198.0 FR France \n",
"1872 224.0 FR France \n",
"1873 266.0 FR France \n",
"1874 219.0 FR France \n",
"1875 176.0 FR France \n",
"1876 163.0 FR France \n",
"1877 195.0 FR France \n",
"1878 308.0 FR France \n",
"1879 213.0 FR France \n",
"\n",
"[1880 rows x 10 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n",
"raw_data = pd.read_csv(\"incidence-PAY-3.csv\", skiprows=1)\n",
"raw_data"
]
},
......@@ -364,7 +1341,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.1"
"version": "3.6.4"
}
},
"nbformat": 4,
......
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