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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"
]
},
{
......@@ -27,14 +29,22 @@
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
"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": 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": [
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" <th></th>\n",
" <th>week</th>\n",
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" <th>inc</th>\n",
" <th>inc_low</th>\n",
" <th>inc_up</th>\n",
" <th>inc100</th>\n",
" <th>inc100_low</th>\n",
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" <td>53</td>\n",
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" <td>61.0</td>\n",
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" <th>4</th>\n",
" <td>202041</td>\n",
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" <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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" <th>5</th>\n",
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" <td>37.0</td>\n",
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" <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",
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" <td>24.0</td>\n",
" <td>36.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <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",
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" <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",
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" <th>10</th>\n",
" <td>202035</td>\n",
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" <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",
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" <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",
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" <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",
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" <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",
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" <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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