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Commit 09c466d9 authored by 3ec0abfa0b4ace3f67a16918ee0f42ed's avatar 3ec0abfa0b4ace3f67a16918ee0f42ed
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module3/exo1/analyse-syndrome-grippal.ipynb
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...@@ -9,14 +9,15 @@ ...@@ -9,14 +9,15 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 5,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"%matplotlib inline\n", "%matplotlib inline\n",
"import matplotlib.pyplot as plt\n", "import matplotlib.pyplot as plt\n",
"import pandas as pd\n", "import pandas as pd\n",
"import isoweek" "import isoweek\n",
"import pathlib"
] ]
}, },
{ {
...@@ -28,10 +29,8 @@ ...@@ -28,10 +29,8 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 2,
"metadata": { "metadata": {},
"collapsed": true
},
"outputs": [], "outputs": [],
"source": [ "source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
...@@ -61,11 +60,982 @@ ...@@ -61,11 +60,982 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 13,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"data": {
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" <td>38.0</td>\n",
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" <td>France</td>\n",
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" <th>8</th>\n",
" <td>202113</td>\n",
" <td>3</td>\n",
" <td>26413</td>\n",
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" <td>32.0</td>\n",
" <td>44.0</td>\n",
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" <td>15951.0</td>\n",
" <td>23127.0</td>\n",
" <td>30</td>\n",
" <td>25.0</td>\n",
" <td>35.0</td>\n",
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" <td>France</td>\n",
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" <td>26.0</td>\n",
" <td>38.0</td>\n",
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" <td>22393</td>\n",
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" <th>15</th>\n",
" <td>202106</td>\n",
" <td>3</td>\n",
" <td>23183</td>\n",
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" <th>16</th>\n",
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" <td>22426</td>\n",
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" <td>30117.0</td>\n",
" <td>39</td>\n",
" <td>32.0</td>\n",
" <td>46.0</td>\n",
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" <td>France</td>\n",
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" <th>18</th>\n",
" <td>202103</td>\n",
" <td>3</td>\n",
" <td>21810</td>\n",
" <td>17894.0</td>\n",
" <td>25726.0</td>\n",
" <td>33</td>\n",
" <td>27.0</td>\n",
" <td>39.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>19</th>\n",
" <td>202102</td>\n",
" <td>3</td>\n",
" <td>17320</td>\n",
" <td>13906.0</td>\n",
" <td>20734.0</td>\n",
" <td>26</td>\n",
" <td>21.0</td>\n",
" <td>31.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>20</th>\n",
" <td>202101</td>\n",
" <td>3</td>\n",
" <td>21799</td>\n",
" <td>17778.0</td>\n",
" <td>25820.0</td>\n",
" <td>33</td>\n",
" <td>27.0</td>\n",
" <td>39.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>21</th>\n",
" <td>202053</td>\n",
" <td>3</td>\n",
" <td>21220</td>\n",
" <td>16498.0</td>\n",
" <td>25942.0</td>\n",
" <td>32</td>\n",
" <td>25.0</td>\n",
" <td>39.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>22</th>\n",
" <td>202052</td>\n",
" <td>3</td>\n",
" <td>16428</td>\n",
" <td>12285.0</td>\n",
" <td>20571.0</td>\n",
" <td>25</td>\n",
" <td>19.0</td>\n",
" <td>31.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>23</th>\n",
" <td>202051</td>\n",
" <td>3</td>\n",
" <td>21619</td>\n",
" <td>17370.0</td>\n",
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" <td>39.0</td>\n",
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" <td>France</td>\n",
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" <tr>\n",
" <th>24</th>\n",
" <td>202050</td>\n",
" <td>3</td>\n",
" <td>16845</td>\n",
" <td>13220.0</td>\n",
" <td>20470.0</td>\n",
" <td>26</td>\n",
" <td>20.0</td>\n",
" <td>32.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>25</th>\n",
" <td>202049</td>\n",
" <td>3</td>\n",
" <td>12939</td>\n",
" <td>9923.0</td>\n",
" <td>15955.0</td>\n",
" <td>20</td>\n",
" <td>15.0</td>\n",
" <td>25.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>26</th>\n",
" <td>202048</td>\n",
" <td>3</td>\n",
" <td>13804</td>\n",
" <td>10641.0</td>\n",
" <td>16967.0</td>\n",
" <td>21</td>\n",
" <td>16.0</td>\n",
" <td>26.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>27</th>\n",
" <td>202047</td>\n",
" <td>3</td>\n",
" <td>19085</td>\n",
" <td>15285.0</td>\n",
" <td>22885.0</td>\n",
" <td>29</td>\n",
" <td>23.0</td>\n",
" <td>35.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>28</th>\n",
" <td>202046</td>\n",
" <td>3</td>\n",
" <td>24801</td>\n",
" <td>20503.0</td>\n",
" <td>29099.0</td>\n",
" <td>38</td>\n",
" <td>31.0</td>\n",
" <td>45.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>202045</td>\n",
" <td>3</td>\n",
" <td>42516</td>\n",
" <td>36857.0</td>\n",
" <td>48175.0</td>\n",
" <td>65</td>\n",
" <td>56.0</td>\n",
" <td>74.0</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",
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" <th>1879</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>1880</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",
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" <tr>\n",
" <th>1881</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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" <th>1882</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>1883</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",
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" <tr>\n",
" <th>1884</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",
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" <tr>\n",
" <th>1885</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>1886</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>1887</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>1888</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>1889</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>1890</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>1891</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>1892</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>1893</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>1894</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>1895</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>1896</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>1897</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>1898</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>1899</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>1900</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>1901</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>1902</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>1903</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>1904</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>1905</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>1906</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>1907</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>1908</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>1909 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202121 3 11442 8496.0 14388.0 17 13.0 \n",
"1 202120 3 10303 7556.0 13050.0 16 12.0 \n",
"2 202119 3 9539 6860.0 12218.0 14 10.0 \n",
"3 202118 3 12135 9165.0 15105.0 18 14.0 \n",
"4 202117 3 12058 8891.0 15225.0 18 13.0 \n",
"5 202116 3 16505 12735.0 20275.0 25 19.0 \n",
"6 202115 3 19306 15398.0 23214.0 29 23.0 \n",
"7 202114 3 21073 17099.0 25047.0 32 26.0 \n",
"8 202113 3 26413 22094.0 30732.0 40 33.0 \n",
"9 202112 3 30658 25919.0 35397.0 46 39.0 \n",
"10 202111 3 24988 20718.0 29258.0 38 32.0 \n",
"11 202110 3 19539 15951.0 23127.0 30 25.0 \n",
"12 202109 3 17572 13926.0 21218.0 27 21.0 \n",
"13 202108 3 20882 16907.0 24857.0 32 26.0 \n",
"14 202107 3 22393 18303.0 26483.0 34 28.0 \n",
"15 202106 3 23183 19134.0 27232.0 35 29.0 \n",
"16 202105 3 22426 18445.0 26407.0 34 28.0 \n",
"17 202104 3 25804 21491.0 30117.0 39 32.0 \n",
"18 202103 3 21810 17894.0 25726.0 33 27.0 \n",
"19 202102 3 17320 13906.0 20734.0 26 21.0 \n",
"20 202101 3 21799 17778.0 25820.0 33 27.0 \n",
"21 202053 3 21220 16498.0 25942.0 32 25.0 \n",
"22 202052 3 16428 12285.0 20571.0 25 19.0 \n",
"23 202051 3 21619 17370.0 25868.0 33 27.0 \n",
"24 202050 3 16845 13220.0 20470.0 26 20.0 \n",
"25 202049 3 12939 9923.0 15955.0 20 15.0 \n",
"26 202048 3 13804 10641.0 16967.0 21 16.0 \n",
"27 202047 3 19085 15285.0 22885.0 29 23.0 \n",
"28 202046 3 24801 20503.0 29099.0 38 31.0 \n",
"29 202045 3 42516 36857.0 48175.0 65 56.0 \n",
"... ... ... ... ... ... ... ... \n",
"1879 198521 3 26096 19621.0 32571.0 47 35.0 \n",
"1880 198520 3 27896 20885.0 34907.0 51 38.0 \n",
"1881 198519 3 43154 32821.0 53487.0 78 59.0 \n",
"1882 198518 3 40555 29935.0 51175.0 74 55.0 \n",
"1883 198517 3 34053 24366.0 43740.0 62 44.0 \n",
"1884 198516 3 50362 36451.0 64273.0 91 66.0 \n",
"1885 198515 3 63881 45538.0 82224.0 116 83.0 \n",
"1886 198514 3 134545 114400.0 154690.0 244 207.0 \n",
"1887 198513 3 197206 176080.0 218332.0 357 319.0 \n",
"1888 198512 3 245240 223304.0 267176.0 445 405.0 \n",
"1889 198511 3 276205 252399.0 300011.0 501 458.0 \n",
"1890 198510 3 353231 326279.0 380183.0 640 591.0 \n",
"1891 198509 3 369895 341109.0 398681.0 670 618.0 \n",
"1892 198508 3 389886 359529.0 420243.0 707 652.0 \n",
"1893 198507 3 471852 432599.0 511105.0 855 784.0 \n",
"1894 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
"1895 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
"1896 198504 3 424937 390794.0 459080.0 770 708.0 \n",
"1897 198503 3 213901 174689.0 253113.0 388 317.0 \n",
"1898 198502 3 97586 80949.0 114223.0 177 147.0 \n",
"1899 198501 3 85489 65918.0 105060.0 155 120.0 \n",
"1900 198452 3 84830 60602.0 109058.0 154 110.0 \n",
"1901 198451 3 101726 80242.0 123210.0 185 146.0 \n",
"1902 198450 3 123680 101401.0 145959.0 225 184.0 \n",
"1903 198449 3 101073 81684.0 120462.0 184 149.0 \n",
"1904 198448 3 78620 60634.0 96606.0 143 110.0 \n",
"1905 198447 3 72029 54274.0 89784.0 131 99.0 \n",
"1906 198446 3 87330 67686.0 106974.0 159 123.0 \n",
"1907 198445 3 135223 101414.0 169032.0 246 184.0 \n",
"1908 198444 3 68422 20056.0 116788.0 125 37.0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 21.0 FR France \n",
"1 20.0 FR France \n",
"2 18.0 FR France \n",
"3 22.0 FR France \n",
"4 23.0 FR France \n",
"5 31.0 FR France \n",
"6 35.0 FR France \n",
"7 38.0 FR France \n",
"8 47.0 FR France \n",
"9 53.0 FR France \n",
"10 44.0 FR France \n",
"11 35.0 FR France \n",
"12 33.0 FR France \n",
"13 38.0 FR France \n",
"14 40.0 FR France \n",
"15 41.0 FR France \n",
"16 40.0 FR France \n",
"17 46.0 FR France \n",
"18 39.0 FR France \n",
"19 31.0 FR France \n",
"20 39.0 FR France \n",
"21 39.0 FR France \n",
"22 31.0 FR France \n",
"23 39.0 FR France \n",
"24 32.0 FR France \n",
"25 25.0 FR France \n",
"26 26.0 FR France \n",
"27 35.0 FR France \n",
"28 45.0 FR France \n",
"29 74.0 FR France \n",
"... ... ... ... \n",
"1879 59.0 FR France \n",
"1880 64.0 FR France \n",
"1881 97.0 FR France \n",
"1882 93.0 FR France \n",
"1883 80.0 FR France \n",
"1884 116.0 FR France \n",
"1885 149.0 FR France \n",
"1886 281.0 FR France \n",
"1887 395.0 FR France \n",
"1888 485.0 FR France \n",
"1889 544.0 FR France \n",
"1890 689.0 FR France \n",
"1891 722.0 FR France \n",
"1892 762.0 FR France \n",
"1893 926.0 FR France \n",
"1894 1113.0 FR France \n",
"1895 1236.0 FR France \n",
"1896 832.0 FR France \n",
"1897 459.0 FR France \n",
"1898 207.0 FR France \n",
"1899 190.0 FR France \n",
"1900 198.0 FR France \n",
"1901 224.0 FR France \n",
"1902 266.0 FR France \n",
"1903 219.0 FR France \n",
"1904 176.0 FR France \n",
"1905 163.0 FR France \n",
"1906 195.0 FR France \n",
"1907 308.0 FR France \n",
"1908 213.0 FR France \n",
"\n",
"[1909 rows x 10 columns]"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n", "if pathlib.Path(\"incidence-PAY-3.csv\").exists():\n",
" raw_data = pd.read_csv(\"incidence-PAY-3.csv\")\n",
"else:\n",
" raw_data = pd.read_csv(data_url, skiprows=1)\n",
" raw_data.to_csv(\"incidence-PAY-3.csv\", index=False)\n",
"raw_data" "raw_data"
] ]
}, },
...@@ -364,7 +1334,7 @@ ...@@ -364,7 +1334,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.6.1" "version": "3.6.4"
} }
}, },
"nbformat": 4, "nbformat": 4,
......
module3/exo1/incidence-PAY-3.csv 0 → 100644
View file @ 09c466d9
This source diff could not be displayed because it is too large. You can view the blob instead.
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