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Commit 2e35992b authored by a081bc04ce9fbc7d062648cfa919b204's avatar a081bc04ce9fbc7d062648cfa919b204
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module3/exo1/analyse-syndrome-grippal.ipynb
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......@@ -9,14 +9,15 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"import isoweek"
"import isoweek\n",
"import os"
]
},
{
......@@ -28,10 +29,8 @@
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
......@@ -61,11 +60,1045 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 11,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/html": [
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" <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",
" <th>inc_low</th>\n",
" <th>inc_up</th>\n",
" <th>inc100</th>\n",
" <th>inc100_low</th>\n",
" <th>inc100_up</th>\n",
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" <td>117</td>\n",
" <td>101.0</td>\n",
" <td>133.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>1</th>\n",
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" <td>72283</td>\n",
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" <td>80869.0</td>\n",
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" <td>122.0</td>\n",
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" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>202338</td>\n",
" <td>3</td>\n",
" <td>63218</td>\n",
" <td>55227.0</td>\n",
" <td>71209.0</td>\n",
" <td>95</td>\n",
" <td>83.0</td>\n",
" <td>107.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>202337</td>\n",
" <td>3</td>\n",
" <td>49085</td>\n",
" <td>42079.0</td>\n",
" <td>56091.0</td>\n",
" <td>74</td>\n",
" <td>63.0</td>\n",
" <td>85.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>202336</td>\n",
" <td>3</td>\n",
" <td>38247</td>\n",
" <td>32237.0</td>\n",
" <td>44257.0</td>\n",
" <td>58</td>\n",
" <td>49.0</td>\n",
" <td>67.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>5</th>\n",
" <td>5</td>\n",
" <td>202335</td>\n",
" <td>3</td>\n",
" <td>31695</td>\n",
" <td>26013.0</td>\n",
" <td>37377.0</td>\n",
" <td>48</td>\n",
" <td>39.0</td>\n",
" <td>57.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>6</th>\n",
" <td>6</td>\n",
" <td>202334</td>\n",
" <td>3</td>\n",
" <td>26663</td>\n",
" <td>21057.0</td>\n",
" <td>32269.0</td>\n",
" <td>40</td>\n",
" <td>32.0</td>\n",
" <td>48.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>7</td>\n",
" <td>202333</td>\n",
" <td>3</td>\n",
" <td>19144</td>\n",
" <td>13161.0</td>\n",
" <td>25127.0</td>\n",
" <td>29</td>\n",
" <td>20.0</td>\n",
" <td>38.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>8</td>\n",
" <td>202332</td>\n",
" <td>3</td>\n",
" <td>14641</td>\n",
" <td>10285.0</td>\n",
" <td>18997.0</td>\n",
" <td>22</td>\n",
" <td>15.0</td>\n",
" <td>29.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>9</td>\n",
" <td>202331</td>\n",
" <td>3</td>\n",
" <td>15286</td>\n",
" <td>10705.0</td>\n",
" <td>19867.0</td>\n",
" <td>23</td>\n",
" <td>16.0</td>\n",
" <td>30.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>10</td>\n",
" <td>202330</td>\n",
" <td>3</td>\n",
" <td>13205</td>\n",
" <td>8647.0</td>\n",
" <td>17763.0</td>\n",
" <td>20</td>\n",
" <td>13.0</td>\n",
" <td>27.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>11</td>\n",
" <td>202329</td>\n",
" <td>3</td>\n",
" <td>11122</td>\n",
" <td>7113.0</td>\n",
" <td>15131.0</td>\n",
" <td>17</td>\n",
" <td>11.0</td>\n",
" <td>23.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>12</td>\n",
" <td>202328</td>\n",
" <td>3</td>\n",
" <td>9179</td>\n",
" <td>5703.0</td>\n",
" <td>12655.0</td>\n",
" <td>14</td>\n",
" <td>9.0</td>\n",
" <td>19.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>13</td>\n",
" <td>202327</td>\n",
" <td>3</td>\n",
" <td>8999</td>\n",
" <td>5763.0</td>\n",
" <td>12235.0</td>\n",
" <td>14</td>\n",
" <td>9.0</td>\n",
" <td>19.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>14</td>\n",
" <td>202326</td>\n",
" <td>3</td>\n",
" <td>9023</td>\n",
" <td>5934.0</td>\n",
" <td>12112.0</td>\n",
" <td>14</td>\n",
" <td>9.0</td>\n",
" <td>19.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>15</td>\n",
" <td>202325</td>\n",
" <td>3</td>\n",
" <td>10090</td>\n",
" <td>6739.0</td>\n",
" <td>13441.0</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>16</th>\n",
" <td>16</td>\n",
" <td>202324</td>\n",
" <td>3</td>\n",
" <td>11308</td>\n",
" <td>7639.0</td>\n",
" <td>14977.0</td>\n",
" <td>17</td>\n",
" <td>11.0</td>\n",
" <td>23.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>17</td>\n",
" <td>202323</td>\n",
" <td>3</td>\n",
" <td>14300</td>\n",
" <td>10661.0</td>\n",
" <td>17939.0</td>\n",
" <td>22</td>\n",
" <td>17.0</td>\n",
" <td>27.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>18</td>\n",
" <td>202322</td>\n",
" <td>3</td>\n",
" <td>18303</td>\n",
" <td>13822.0</td>\n",
" <td>22784.0</td>\n",
" <td>28</td>\n",
" <td>21.0</td>\n",
" <td>35.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>19</td>\n",
" <td>202321</td>\n",
" <td>3</td>\n",
" <td>16460</td>\n",
" <td>12188.0</td>\n",
" <td>20732.0</td>\n",
" <td>25</td>\n",
" <td>19.0</td>\n",
" <td>31.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>20</td>\n",
" <td>202320</td>\n",
" <td>3</td>\n",
" <td>16162</td>\n",
" <td>11963.0</td>\n",
" <td>20361.0</td>\n",
" <td>24</td>\n",
" <td>18.0</td>\n",
" <td>30.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>21</td>\n",
" <td>202319</td>\n",
" <td>3</td>\n",
" <td>16901</td>\n",
" <td>12577.0</td>\n",
" <td>21225.0</td>\n",
" <td>25</td>\n",
" <td>18.0</td>\n",
" <td>32.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>22</td>\n",
" <td>202318</td>\n",
" <td>3</td>\n",
" <td>19929</td>\n",
" <td>15402.0</td>\n",
" <td>24456.0</td>\n",
" <td>30</td>\n",
" <td>23.0</td>\n",
" <td>37.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>23</td>\n",
" <td>202317</td>\n",
" <td>3</td>\n",
" <td>27007</td>\n",
" <td>21779.0</td>\n",
" <td>32235.0</td>\n",
" <td>41</td>\n",
" <td>33.0</td>\n",
" <td>49.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>24</td>\n",
" <td>202316</td>\n",
" <td>3</td>\n",
" <td>27875</td>\n",
" <td>22767.0</td>\n",
" <td>32983.0</td>\n",
" <td>42</td>\n",
" <td>34.0</td>\n",
" <td>50.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>25</td>\n",
" <td>202315</td>\n",
" <td>3</td>\n",
" <td>37455</td>\n",
" <td>30993.0</td>\n",
" <td>43917.0</td>\n",
" <td>56</td>\n",
" <td>46.0</td>\n",
" <td>66.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>26</td>\n",
" <td>202314</td>\n",
" <td>3</td>\n",
" <td>48060</td>\n",
" <td>40671.0</td>\n",
" <td>55449.0</td>\n",
" <td>72</td>\n",
" <td>61.0</td>\n",
" <td>83.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>27</td>\n",
" <td>202313</td>\n",
" <td>3</td>\n",
" <td>64859</td>\n",
" <td>56800.0</td>\n",
" <td>72918.0</td>\n",
" <td>98</td>\n",
" <td>86.0</td>\n",
" <td>110.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>28</td>\n",
" <td>202312</td>\n",
" <td>3</td>\n",
" <td>72750</td>\n",
" <td>64499.0</td>\n",
" <td>81001.0</td>\n",
" <td>109</td>\n",
" <td>97.0</td>\n",
" <td>121.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>29</td>\n",
" <td>202311</td>\n",
" <td>3</td>\n",
" <td>74638</td>\n",
" <td>66420.0</td>\n",
" <td>82856.0</td>\n",
" <td>112</td>\n",
" <td>100.0</td>\n",
" <td>124.0</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",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2002</th>\n",
" <td>2002</td>\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>2003</th>\n",
" <td>2003</td>\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>2004</th>\n",
" <td>2004</td>\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>2005</th>\n",
" <td>2005</td>\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>2006</th>\n",
" <td>2006</td>\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>2007</th>\n",
" <td>2007</td>\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>2008</th>\n",
" <td>2008</td>\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>2009</th>\n",
" <td>2009</td>\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>2010</th>\n",
" <td>2010</td>\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>2011</th>\n",
" <td>2011</td>\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>2012</th>\n",
" <td>2012</td>\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>2013</th>\n",
" <td>2013</td>\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>2014</th>\n",
" <td>2014</td>\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>2015</th>\n",
" <td>2015</td>\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>2016</th>\n",
" <td>2016</td>\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>2017</th>\n",
" <td>2017</td>\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>2018</th>\n",
" <td>2018</td>\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>2019</th>\n",
" <td>2019</td>\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>2020</th>\n",
" <td>2020</td>\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>2021</th>\n",
" <td>2021</td>\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>2022</th>\n",
" <td>2022</td>\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>2023</th>\n",
" <td>2023</td>\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>2024</th>\n",
" <td>2024</td>\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>2025</th>\n",
" <td>2025</td>\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>2026</th>\n",
" <td>2026</td>\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>2027</th>\n",
" <td>2027</td>\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>2028</th>\n",
" <td>2028</td>\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>2029</th>\n",
" <td>2029</td>\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>2030</th>\n",
" <td>2030</td>\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>2031</th>\n",
" <td>2031</td>\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>2032 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" Unnamed: 0 week indicator inc inc_low inc_up inc100 \\\n",
"0 0 202340 3 77850 67191.0 88509.0 117 \n",
"1 1 202339 3 72283 63697.0 80869.0 109 \n",
"2 2 202338 3 63218 55227.0 71209.0 95 \n",
"3 3 202337 3 49085 42079.0 56091.0 74 \n",
"4 4 202336 3 38247 32237.0 44257.0 58 \n",
"5 5 202335 3 31695 26013.0 37377.0 48 \n",
"6 6 202334 3 26663 21057.0 32269.0 40 \n",
"7 7 202333 3 19144 13161.0 25127.0 29 \n",
"8 8 202332 3 14641 10285.0 18997.0 22 \n",
"9 9 202331 3 15286 10705.0 19867.0 23 \n",
"10 10 202330 3 13205 8647.0 17763.0 20 \n",
"11 11 202329 3 11122 7113.0 15131.0 17 \n",
"12 12 202328 3 9179 5703.0 12655.0 14 \n",
"13 13 202327 3 8999 5763.0 12235.0 14 \n",
"14 14 202326 3 9023 5934.0 12112.0 14 \n",
"15 15 202325 3 10090 6739.0 13441.0 15 \n",
"16 16 202324 3 11308 7639.0 14977.0 17 \n",
"17 17 202323 3 14300 10661.0 17939.0 22 \n",
"18 18 202322 3 18303 13822.0 22784.0 28 \n",
"19 19 202321 3 16460 12188.0 20732.0 25 \n",
"20 20 202320 3 16162 11963.0 20361.0 24 \n",
"21 21 202319 3 16901 12577.0 21225.0 25 \n",
"22 22 202318 3 19929 15402.0 24456.0 30 \n",
"23 23 202317 3 27007 21779.0 32235.0 41 \n",
"24 24 202316 3 27875 22767.0 32983.0 42 \n",
"25 25 202315 3 37455 30993.0 43917.0 56 \n",
"26 26 202314 3 48060 40671.0 55449.0 72 \n",
"27 27 202313 3 64859 56800.0 72918.0 98 \n",
"28 28 202312 3 72750 64499.0 81001.0 109 \n",
"29 29 202311 3 74638 66420.0 82856.0 112 \n",
"... ... ... ... ... ... ... ... \n",
"2002 2002 198521 3 26096 19621.0 32571.0 47 \n",
"2003 2003 198520 3 27896 20885.0 34907.0 51 \n",
"2004 2004 198519 3 43154 32821.0 53487.0 78 \n",
"2005 2005 198518 3 40555 29935.0 51175.0 74 \n",
"2006 2006 198517 3 34053 24366.0 43740.0 62 \n",
"2007 2007 198516 3 50362 36451.0 64273.0 91 \n",
"2008 2008 198515 3 63881 45538.0 82224.0 116 \n",
"2009 2009 198514 3 134545 114400.0 154690.0 244 \n",
"2010 2010 198513 3 197206 176080.0 218332.0 357 \n",
"2011 2011 198512 3 245240 223304.0 267176.0 445 \n",
"2012 2012 198511 3 276205 252399.0 300011.0 501 \n",
"2013 2013 198510 3 353231 326279.0 380183.0 640 \n",
"2014 2014 198509 3 369895 341109.0 398681.0 670 \n",
"2015 2015 198508 3 389886 359529.0 420243.0 707 \n",
"2016 2016 198507 3 471852 432599.0 511105.0 855 \n",
"2017 2017 198506 3 565825 518011.0 613639.0 1026 \n",
"2018 2018 198505 3 637302 592795.0 681809.0 1155 \n",
"2019 2019 198504 3 424937 390794.0 459080.0 770 \n",
"2020 2020 198503 3 213901 174689.0 253113.0 388 \n",
"2021 2021 198502 3 97586 80949.0 114223.0 177 \n",
"2022 2022 198501 3 85489 65918.0 105060.0 155 \n",
"2023 2023 198452 3 84830 60602.0 109058.0 154 \n",
"2024 2024 198451 3 101726 80242.0 123210.0 185 \n",
"2025 2025 198450 3 123680 101401.0 145959.0 225 \n",
"2026 2026 198449 3 101073 81684.0 120462.0 184 \n",
"2027 2027 198448 3 78620 60634.0 96606.0 143 \n",
"2028 2028 198447 3 72029 54274.0 89784.0 131 \n",
"2029 2029 198446 3 87330 67686.0 106974.0 159 \n",
"2030 2030 198445 3 135223 101414.0 169032.0 246 \n",
"2031 2031 198444 3 68422 20056.0 116788.0 125 \n",
"\n",
" inc100_low inc100_up geo_insee geo_name \n",
"0 101.0 133.0 FR France \n",
"1 96.0 122.0 FR France \n",
"2 83.0 107.0 FR France \n",
"3 63.0 85.0 FR France \n",
"4 49.0 67.0 FR France \n",
"5 39.0 57.0 FR France \n",
"6 32.0 48.0 FR France \n",
"7 20.0 38.0 FR France \n",
"8 15.0 29.0 FR France \n",
"9 16.0 30.0 FR France \n",
"10 13.0 27.0 FR France \n",
"11 11.0 23.0 FR France \n",
"12 9.0 19.0 FR France \n",
"13 9.0 19.0 FR France \n",
"14 9.0 19.0 FR France \n",
"15 10.0 20.0 FR France \n",
"16 11.0 23.0 FR France \n",
"17 17.0 27.0 FR France \n",
"18 21.0 35.0 FR France \n",
"19 19.0 31.0 FR France \n",
"20 18.0 30.0 FR France \n",
"21 18.0 32.0 FR France \n",
"22 23.0 37.0 FR France \n",
"23 33.0 49.0 FR France \n",
"24 34.0 50.0 FR France \n",
"25 46.0 66.0 FR France \n",
"26 61.0 83.0 FR France \n",
"27 86.0 110.0 FR France \n",
"28 97.0 121.0 FR France \n",
"29 100.0 124.0 FR France \n",
"... ... ... ... ... \n",
"2002 35.0 59.0 FR France \n",
"2003 38.0 64.0 FR France \n",
"2004 59.0 97.0 FR France \n",
"2005 55.0 93.0 FR France \n",
"2006 44.0 80.0 FR France \n",
"2007 66.0 116.0 FR France \n",
"2008 83.0 149.0 FR France \n",
"2009 207.0 281.0 FR France \n",
"2010 319.0 395.0 FR France \n",
"2011 405.0 485.0 FR France \n",
"2012 458.0 544.0 FR France \n",
"2013 591.0 689.0 FR France \n",
"2014 618.0 722.0 FR France \n",
"2015 652.0 762.0 FR France \n",
"2016 784.0 926.0 FR France \n",
"2017 939.0 1113.0 FR France \n",
"2018 1074.0 1236.0 FR France \n",
"2019 708.0 832.0 FR France \n",
"2020 317.0 459.0 FR France \n",
"2021 147.0 207.0 FR France \n",
"2022 120.0 190.0 FR France \n",
"2023 110.0 198.0 FR France \n",
"2024 146.0 224.0 FR France \n",
"2025 184.0 266.0 FR France \n",
"2026 149.0 219.0 FR France \n",
"2027 110.0 176.0 FR France \n",
"2028 99.0 163.0 FR France \n",
"2029 123.0 195.0 FR France \n",
"2030 184.0 308.0 FR France \n",
"2031 37.0 213.0 FR France \n",
"\n",
"[2032 rows x 11 columns]"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n",
"# We try to get the dataset from local file and download it if it doesn't already exists\n",
"try:\n",
" raw_data = pd.read_csv('incidence_grippale.csv')\n",
"except FileNotFoundError:\n",
" raw_data = pd.read_csv(data_url, skiprows=1)\n",
" raw_data.to_csv('incidence_grippale.csv')\n",
"raw_data"
]
},
......@@ -153,9 +1186,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"metadata": {},
"outputs": [],
"source": [
"sorted_data = data.set_index('period').sort_index()"
......@@ -253,9 +1284,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"metadata": {},
"outputs": [],
"source": [
"first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
......@@ -341,9 +1370,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"metadata": {},
"outputs": [],
"source": []
}
......@@ -364,7 +1391,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.1"
"version": "3.6.4"
}
},
"nbformat": 4,
......
module3/exo1/incidence_grippale.csv 0 → 100644
View file @ 2e35992b
This source diff could not be displayed because it is too large. You can view the blob instead.
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