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Commit 4e892435 authored by d0e6f90fc91537e71d96befd9f7f0f02's avatar d0e6f90fc91537e71d96befd9f7f0f02
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stockage local des données

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module3/exo1/analyse-syndrome-grippal.ipynb
View file @ 4e892435
...@@ -9,7 +9,7 @@ ...@@ -9,7 +9,7 @@
}, },
{ {
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"execution_count": null, "execution_count": 2,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -28,10 +28,8 @@ ...@@ -28,10 +28,8 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 3,
"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 +59,982 @@ ...@@ -61,11 +59,982 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 7,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
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" <th>16</th>\n",
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" <td>23.0</td>\n",
" <td>39.0</td>\n",
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" <td>France</td>\n",
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" <th>17</th>\n",
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" <td>23187</td>\n",
" <td>17532.0</td>\n",
" <td>28842.0</td>\n",
" <td>35</td>\n",
" <td>27.0</td>\n",
" <td>43.0</td>\n",
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" <td>France</td>\n",
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" <th>18</th>\n",
" <td>202431</td>\n",
" <td>3</td>\n",
" <td>26035</td>\n",
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" <td>39</td>\n",
" <td>30.0</td>\n",
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" <th>19</th>\n",
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" <td>36393</td>\n",
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" <td>44193.0</td>\n",
" <td>55</td>\n",
" <td>43.0</td>\n",
" <td>67.0</td>\n",
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" <td>France</td>\n",
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" <th>20</th>\n",
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" <td>39560</td>\n",
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" <td>46528.0</td>\n",
" <td>59</td>\n",
" <td>49.0</td>\n",
" <td>69.0</td>\n",
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" <td>France</td>\n",
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" <th>21</th>\n",
" <td>202428</td>\n",
" <td>3</td>\n",
" <td>54342</td>\n",
" <td>45781.0</td>\n",
" <td>62903.0</td>\n",
" <td>81</td>\n",
" <td>68.0</td>\n",
" <td>94.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>22</th>\n",
" <td>202427</td>\n",
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" <td>47364</td>\n",
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" <td>54494.0</td>\n",
" <td>71</td>\n",
" <td>60.0</td>\n",
" <td>82.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>23</th>\n",
" <td>202426</td>\n",
" <td>3</td>\n",
" <td>44219</td>\n",
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" <td>51482.0</td>\n",
" <td>66</td>\n",
" <td>55.0</td>\n",
" <td>77.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>24</th>\n",
" <td>202425</td>\n",
" <td>3</td>\n",
" <td>47204</td>\n",
" <td>40300.0</td>\n",
" <td>54108.0</td>\n",
" <td>71</td>\n",
" <td>61.0</td>\n",
" <td>81.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>25</th>\n",
" <td>202424</td>\n",
" <td>3</td>\n",
" <td>41110</td>\n",
" <td>34671.0</td>\n",
" <td>47549.0</td>\n",
" <td>62</td>\n",
" <td>52.0</td>\n",
" <td>72.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>202423</td>\n",
" <td>3</td>\n",
" <td>35875</td>\n",
" <td>30610.0</td>\n",
" <td>41140.0</td>\n",
" <td>54</td>\n",
" <td>46.0</td>\n",
" <td>62.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>202422</td>\n",
" <td>3</td>\n",
" <td>33772</td>\n",
" <td>28274.0</td>\n",
" <td>39270.0</td>\n",
" <td>51</td>\n",
" <td>43.0</td>\n",
" <td>59.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>202421</td>\n",
" <td>3</td>\n",
" <td>21963</td>\n",
" <td>17556.0</td>\n",
" <td>26370.0</td>\n",
" <td>33</td>\n",
" <td>26.0</td>\n",
" <td>40.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>202420</td>\n",
" <td>3</td>\n",
" <td>20057</td>\n",
" <td>15780.0</td>\n",
" <td>24334.0</td>\n",
" <td>30</td>\n",
" <td>24.0</td>\n",
" <td>36.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <tr>\n",
" <th>2063</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>2064</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>2065</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>2066</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>2067</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>2068</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>2069</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>2070</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>2071</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>2072</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>2073</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>2074</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>2075</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>2076</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>2077</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>2078</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>2079</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>2080</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>2081</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>2082</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>2083</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>2084</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>2085</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>2086</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>2087</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>2088</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>2089</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>2090</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>2091</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>2092</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>2093 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202449 3 118894 107479.0 130309.0 178 161.0 \n",
"1 202448 3 88889 79987.0 97791.0 133 120.0 \n",
"2 202447 3 76286 67626.0 84946.0 114 101.0 \n",
"3 202446 3 56399 49006.0 63792.0 85 74.0 \n",
"4 202445 3 47347 40843.0 53851.0 71 61.0 \n",
"5 202444 3 36039 30122.0 41956.0 54 45.0 \n",
"6 202443 3 46572 39928.0 53216.0 70 60.0 \n",
"7 202442 3 67785 60009.0 75561.0 102 90.0 \n",
"8 202441 3 79435 71386.0 87484.0 119 107.0 \n",
"9 202440 3 84965 76555.0 93375.0 127 114.0 \n",
"10 202439 3 91660 82937.0 100383.0 137 124.0 \n",
"11 202438 3 91786 82903.0 100669.0 138 125.0 \n",
"12 202437 3 56460 49319.0 63601.0 85 74.0 \n",
"13 202436 3 33657 27906.0 39408.0 50 41.0 \n",
"14 202435 3 27404 22036.0 32772.0 41 33.0 \n",
"15 202434 3 26717 21003.0 32431.0 40 31.0 \n",
"16 202433 3 20623 15349.0 25897.0 31 23.0 \n",
"17 202432 3 23187 17532.0 28842.0 35 27.0 \n",
"18 202431 3 26035 20267.0 31803.0 39 30.0 \n",
"19 202430 3 36393 28593.0 44193.0 55 43.0 \n",
"20 202429 3 39560 32592.0 46528.0 59 49.0 \n",
"21 202428 3 54342 45781.0 62903.0 81 68.0 \n",
"22 202427 3 47364 40234.0 54494.0 71 60.0 \n",
"23 202426 3 44219 36956.0 51482.0 66 55.0 \n",
"24 202425 3 47204 40300.0 54108.0 71 61.0 \n",
"25 202424 3 41110 34671.0 47549.0 62 52.0 \n",
"26 202423 3 35875 30610.0 41140.0 54 46.0 \n",
"27 202422 3 33772 28274.0 39270.0 51 43.0 \n",
"28 202421 3 21963 17556.0 26370.0 33 26.0 \n",
"29 202420 3 20057 15780.0 24334.0 30 24.0 \n",
"... ... ... ... ... ... ... ... \n",
"2063 198521 3 26096 19621.0 32571.0 47 35.0 \n",
"2064 198520 3 27896 20885.0 34907.0 51 38.0 \n",
"2065 198519 3 43154 32821.0 53487.0 78 59.0 \n",
"2066 198518 3 40555 29935.0 51175.0 74 55.0 \n",
"2067 198517 3 34053 24366.0 43740.0 62 44.0 \n",
"2068 198516 3 50362 36451.0 64273.0 91 66.0 \n",
"2069 198515 3 63881 45538.0 82224.0 116 83.0 \n",
"2070 198514 3 134545 114400.0 154690.0 244 207.0 \n",
"2071 198513 3 197206 176080.0 218332.0 357 319.0 \n",
"2072 198512 3 245240 223304.0 267176.0 445 405.0 \n",
"2073 198511 3 276205 252399.0 300011.0 501 458.0 \n",
"2074 198510 3 353231 326279.0 380183.0 640 591.0 \n",
"2075 198509 3 369895 341109.0 398681.0 670 618.0 \n",
"2076 198508 3 389886 359529.0 420243.0 707 652.0 \n",
"2077 198507 3 471852 432599.0 511105.0 855 784.0 \n",
"2078 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
"2079 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
"2080 198504 3 424937 390794.0 459080.0 770 708.0 \n",
"2081 198503 3 213901 174689.0 253113.0 388 317.0 \n",
"2082 198502 3 97586 80949.0 114223.0 177 147.0 \n",
"2083 198501 3 85489 65918.0 105060.0 155 120.0 \n",
"2084 198452 3 84830 60602.0 109058.0 154 110.0 \n",
"2085 198451 3 101726 80242.0 123210.0 185 146.0 \n",
"2086 198450 3 123680 101401.0 145959.0 225 184.0 \n",
"2087 198449 3 101073 81684.0 120462.0 184 149.0 \n",
"2088 198448 3 78620 60634.0 96606.0 143 110.0 \n",
"2089 198447 3 72029 54274.0 89784.0 131 99.0 \n",
"2090 198446 3 87330 67686.0 106974.0 159 123.0 \n",
"2091 198445 3 135223 101414.0 169032.0 246 184.0 \n",
"2092 198444 3 68422 20056.0 116788.0 125 37.0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 195.0 FR France \n",
"1 146.0 FR France \n",
"2 127.0 FR France \n",
"3 96.0 FR France \n",
"4 81.0 FR France \n",
"5 63.0 FR France \n",
"6 80.0 FR France \n",
"7 114.0 FR France \n",
"8 131.0 FR France \n",
"9 140.0 FR France \n",
"10 150.0 FR France \n",
"11 151.0 FR France \n",
"12 96.0 FR France \n",
"13 59.0 FR France \n",
"14 49.0 FR France \n",
"15 49.0 FR France \n",
"16 39.0 FR France \n",
"17 43.0 FR France \n",
"18 48.0 FR France \n",
"19 67.0 FR France \n",
"20 69.0 FR France \n",
"21 94.0 FR France \n",
"22 82.0 FR France \n",
"23 77.0 FR France \n",
"24 81.0 FR France \n",
"25 72.0 FR France \n",
"26 62.0 FR France \n",
"27 59.0 FR France \n",
"28 40.0 FR France \n",
"29 36.0 FR France \n",
"... ... ... ... \n",
"2063 59.0 FR France \n",
"2064 64.0 FR France \n",
"2065 97.0 FR France \n",
"2066 93.0 FR France \n",
"2067 80.0 FR France \n",
"2068 116.0 FR France \n",
"2069 149.0 FR France \n",
"2070 281.0 FR France \n",
"2071 395.0 FR France \n",
"2072 485.0 FR France \n",
"2073 544.0 FR France \n",
"2074 689.0 FR France \n",
"2075 722.0 FR France \n",
"2076 762.0 FR France \n",
"2077 926.0 FR France \n",
"2078 1113.0 FR France \n",
"2079 1236.0 FR France \n",
"2080 832.0 FR France \n",
"2081 459.0 FR France \n",
"2082 207.0 FR France \n",
"2083 190.0 FR France \n",
"2084 198.0 FR France \n",
"2085 224.0 FR France \n",
"2086 266.0 FR France \n",
"2087 219.0 FR France \n",
"2088 176.0 FR France \n",
"2089 163.0 FR France \n",
"2090 195.0 FR France \n",
"2091 308.0 FR France \n",
"2092 213.0 FR France \n",
"\n",
"[2093 rows x 10 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n", "try:\n",
" raw_data = pd.read_csv('./incidence_gripale.csv',index=True)\n",
"except:\n",
" raw_data = pd.read_csv(data_url, skiprows=1)\n",
" raw_data.to_csv('./incidence_gripale.csv')\n",
"raw_data" "raw_data"
] ]
}, },
...@@ -364,7 +1333,7 @@ ...@@ -364,7 +1333,7 @@
"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_gripale.csv 0 → 100644
View file @ 4e892435
This source diff could not be displayed because it is too large. You can view the blob instead.
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