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Commit 1e82d298 authored by Marine Ha-Shan's avatar Marine Ha-Shan
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Exercice-Marine HA-SHAN

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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": 2,
"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 os.path"
] ]
}, },
{ {
...@@ -28,13 +29,11 @@ ...@@ -28,13 +29,11 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 7,
"metadata": { "metadata": {},
"collapsed": true
},
"outputs": [], "outputs": [],
"source": [ "source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" "data_url = \"https://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": 8,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"data": {
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"<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",
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" <td>104670.0</td>\n",
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" <td>130.0</td>\n",
" <td>158.0</td>\n",
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" <td>82886.0</td>\n",
" <td>113</td>\n",
" <td>101.0</td>\n",
" <td>125.0</td>\n",
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" <th>4</th>\n",
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" <td>69570</td>\n",
" <td>61893.0</td>\n",
" <td>77247.0</td>\n",
" <td>105</td>\n",
" <td>93.0</td>\n",
" <td>117.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>5</th>\n",
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" <th>6</th>\n",
" <td>202301</td>\n",
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" <td>121773</td>\n",
" <td>111024.0</td>\n",
" <td>132522.0</td>\n",
" <td>183</td>\n",
" <td>167.0</td>\n",
" <td>199.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>7</th>\n",
" <td>202252</td>\n",
" <td>3</td>\n",
" <td>155383</td>\n",
" <td>142015.0</td>\n",
" <td>168751.0</td>\n",
" <td>234</td>\n",
" <td>214.0</td>\n",
" <td>254.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>202251</td>\n",
" <td>3</td>\n",
" <td>248311</td>\n",
" <td>232120.0</td>\n",
" <td>264502.0</td>\n",
" <td>374</td>\n",
" <td>350.0</td>\n",
" <td>398.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>9</th>\n",
" <td>202250</td>\n",
" <td>3</td>\n",
" <td>234279</td>\n",
" <td>219533.0</td>\n",
" <td>249025.0</td>\n",
" <td>353</td>\n",
" <td>331.0</td>\n",
" <td>375.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>10</th>\n",
" <td>202249</td>\n",
" <td>3</td>\n",
" <td>163421</td>\n",
" <td>151727.0</td>\n",
" <td>175115.0</td>\n",
" <td>246</td>\n",
" <td>228.0</td>\n",
" <td>264.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>11</th>\n",
" <td>202248</td>\n",
" <td>3</td>\n",
" <td>121884</td>\n",
" <td>111932.0</td>\n",
" <td>131836.0</td>\n",
" <td>184</td>\n",
" <td>169.0</td>\n",
" <td>199.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>12</th>\n",
" <td>202247</td>\n",
" <td>3</td>\n",
" <td>96447</td>\n",
" <td>87259.0</td>\n",
" <td>105635.0</td>\n",
" <td>145</td>\n",
" <td>131.0</td>\n",
" <td>159.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>13</th>\n",
" <td>202246</td>\n",
" <td>3</td>\n",
" <td>67735</td>\n",
" <td>60075.0</td>\n",
" <td>75395.0</td>\n",
" <td>102</td>\n",
" <td>90.0</td>\n",
" <td>114.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>14</th>\n",
" <td>202245</td>\n",
" <td>3</td>\n",
" <td>45306</td>\n",
" <td>38909.0</td>\n",
" <td>51703.0</td>\n",
" <td>68</td>\n",
" <td>58.0</td>\n",
" <td>78.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>202244</td>\n",
" <td>3</td>\n",
" <td>34713</td>\n",
" <td>28880.0</td>\n",
" <td>40546.0</td>\n",
" <td>52</td>\n",
" <td>43.0</td>\n",
" <td>61.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>202243</td>\n",
" <td>3</td>\n",
" <td>44769</td>\n",
" <td>36884.0</td>\n",
" <td>52654.0</td>\n",
" <td>68</td>\n",
" <td>56.0</td>\n",
" <td>80.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>202242</td>\n",
" <td>3</td>\n",
" <td>47462</td>\n",
" <td>40773.0</td>\n",
" <td>54151.0</td>\n",
" <td>72</td>\n",
" <td>62.0</td>\n",
" <td>82.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>202241</td>\n",
" <td>3</td>\n",
" <td>48583</td>\n",
" <td>42388.0</td>\n",
" <td>54778.0</td>\n",
" <td>73</td>\n",
" <td>64.0</td>\n",
" <td>82.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>202240</td>\n",
" <td>3</td>\n",
" <td>41927</td>\n",
" <td>36115.0</td>\n",
" <td>47739.0</td>\n",
" <td>63</td>\n",
" <td>54.0</td>\n",
" <td>72.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>202239</td>\n",
" <td>3</td>\n",
" <td>39902</td>\n",
" <td>34168.0</td>\n",
" <td>45636.0</td>\n",
" <td>60</td>\n",
" <td>51.0</td>\n",
" <td>69.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>202238</td>\n",
" <td>3</td>\n",
" <td>28781</td>\n",
" <td>23733.0</td>\n",
" <td>33829.0</td>\n",
" <td>43</td>\n",
" <td>35.0</td>\n",
" <td>51.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>202237</td>\n",
" <td>3</td>\n",
" <td>21395</td>\n",
" <td>17076.0</td>\n",
" <td>25714.0</td>\n",
" <td>32</td>\n",
" <td>25.0</td>\n",
" <td>39.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>202236</td>\n",
" <td>3</td>\n",
" <td>14120</td>\n",
" <td>10487.0</td>\n",
" <td>17753.0</td>\n",
" <td>21</td>\n",
" <td>16.0</td>\n",
" <td>26.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>202235</td>\n",
" <td>3</td>\n",
" <td>9283</td>\n",
" <td>6485.0</td>\n",
" <td>12081.0</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>25</th>\n",
" <td>202234</td>\n",
" <td>3</td>\n",
" <td>7498</td>\n",
" <td>4731.0</td>\n",
" <td>10265.0</td>\n",
" <td>11</td>\n",
" <td>7.0</td>\n",
" <td>15.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>202233</td>\n",
" <td>3</td>\n",
" <td>7586</td>\n",
" <td>4442.0</td>\n",
" <td>10730.0</td>\n",
" <td>11</td>\n",
" <td>6.0</td>\n",
" <td>16.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>202232</td>\n",
" <td>3</td>\n",
" <td>12222</td>\n",
" <td>7749.0</td>\n",
" <td>16695.0</td>\n",
" <td>18</td>\n",
" <td>11.0</td>\n",
" <td>25.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>202231</td>\n",
" <td>3</td>\n",
" <td>13257</td>\n",
" <td>8905.0</td>\n",
" <td>17609.0</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>29</th>\n",
" <td>202230</td>\n",
" <td>3</td>\n",
" <td>15006</td>\n",
" <td>10738.0</td>\n",
" <td>19274.0</td>\n",
" <td>23</td>\n",
" <td>17.0</td>\n",
" <td>29.0</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>1969</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>1970</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>1971</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>1972</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>1973</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>1974</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>1975</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>1976</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>1977</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>1978</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>1979</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>1980</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>1981</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>1982</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>1983</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>1984</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>1985</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>1986</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>1987</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>1988</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>1989</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>1990</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>1991</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>1992</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>1993</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>1994</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>1995</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>1996</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>1997</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>1998</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>1999 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202307 3 110882 98145.0 123619.0 167 148.0 \n",
"1 202306 3 98071 88232.0 107910.0 148 133.0 \n",
"2 202305 3 95469 86268.0 104670.0 144 130.0 \n",
"3 202304 3 74901 66916.0 82886.0 113 101.0 \n",
"4 202303 3 69570 61893.0 77247.0 105 93.0 \n",
"5 202302 3 78260 70090.0 86430.0 118 106.0 \n",
"6 202301 3 121773 111024.0 132522.0 183 167.0 \n",
"7 202252 3 155383 142015.0 168751.0 234 214.0 \n",
"8 202251 3 248311 232120.0 264502.0 374 350.0 \n",
"9 202250 3 234279 219533.0 249025.0 353 331.0 \n",
"10 202249 3 163421 151727.0 175115.0 246 228.0 \n",
"11 202248 3 121884 111932.0 131836.0 184 169.0 \n",
"12 202247 3 96447 87259.0 105635.0 145 131.0 \n",
"13 202246 3 67735 60075.0 75395.0 102 90.0 \n",
"14 202245 3 45306 38909.0 51703.0 68 58.0 \n",
"15 202244 3 34713 28880.0 40546.0 52 43.0 \n",
"16 202243 3 44769 36884.0 52654.0 68 56.0 \n",
"17 202242 3 47462 40773.0 54151.0 72 62.0 \n",
"18 202241 3 48583 42388.0 54778.0 73 64.0 \n",
"19 202240 3 41927 36115.0 47739.0 63 54.0 \n",
"20 202239 3 39902 34168.0 45636.0 60 51.0 \n",
"21 202238 3 28781 23733.0 33829.0 43 35.0 \n",
"22 202237 3 21395 17076.0 25714.0 32 25.0 \n",
"23 202236 3 14120 10487.0 17753.0 21 16.0 \n",
"24 202235 3 9283 6485.0 12081.0 14 10.0 \n",
"25 202234 3 7498 4731.0 10265.0 11 7.0 \n",
"26 202233 3 7586 4442.0 10730.0 11 6.0 \n",
"27 202232 3 12222 7749.0 16695.0 18 11.0 \n",
"28 202231 3 13257 8905.0 17609.0 20 13.0 \n",
"29 202230 3 15006 10738.0 19274.0 23 17.0 \n",
"... ... ... ... ... ... ... ... \n",
"1969 198521 3 26096 19621.0 32571.0 47 35.0 \n",
"1970 198520 3 27896 20885.0 34907.0 51 38.0 \n",
"1971 198519 3 43154 32821.0 53487.0 78 59.0 \n",
"1972 198518 3 40555 29935.0 51175.0 74 55.0 \n",
"1973 198517 3 34053 24366.0 43740.0 62 44.0 \n",
"1974 198516 3 50362 36451.0 64273.0 91 66.0 \n",
"1975 198515 3 63881 45538.0 82224.0 116 83.0 \n",
"1976 198514 3 134545 114400.0 154690.0 244 207.0 \n",
"1977 198513 3 197206 176080.0 218332.0 357 319.0 \n",
"1978 198512 3 245240 223304.0 267176.0 445 405.0 \n",
"1979 198511 3 276205 252399.0 300011.0 501 458.0 \n",
"1980 198510 3 353231 326279.0 380183.0 640 591.0 \n",
"1981 198509 3 369895 341109.0 398681.0 670 618.0 \n",
"1982 198508 3 389886 359529.0 420243.0 707 652.0 \n",
"1983 198507 3 471852 432599.0 511105.0 855 784.0 \n",
"1984 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
"1985 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
"1986 198504 3 424937 390794.0 459080.0 770 708.0 \n",
"1987 198503 3 213901 174689.0 253113.0 388 317.0 \n",
"1988 198502 3 97586 80949.0 114223.0 177 147.0 \n",
"1989 198501 3 85489 65918.0 105060.0 155 120.0 \n",
"1990 198452 3 84830 60602.0 109058.0 154 110.0 \n",
"1991 198451 3 101726 80242.0 123210.0 185 146.0 \n",
"1992 198450 3 123680 101401.0 145959.0 225 184.0 \n",
"1993 198449 3 101073 81684.0 120462.0 184 149.0 \n",
"1994 198448 3 78620 60634.0 96606.0 143 110.0 \n",
"1995 198447 3 72029 54274.0 89784.0 131 99.0 \n",
"1996 198446 3 87330 67686.0 106974.0 159 123.0 \n",
"1997 198445 3 135223 101414.0 169032.0 246 184.0 \n",
"1998 198444 3 68422 20056.0 116788.0 125 37.0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 186.0 FR France \n",
"1 163.0 FR France \n",
"2 158.0 FR France \n",
"3 125.0 FR France \n",
"4 117.0 FR France \n",
"5 130.0 FR France \n",
"6 199.0 FR France \n",
"7 254.0 FR France \n",
"8 398.0 FR France \n",
"9 375.0 FR France \n",
"10 264.0 FR France \n",
"11 199.0 FR France \n",
"12 159.0 FR France \n",
"13 114.0 FR France \n",
"14 78.0 FR France \n",
"15 61.0 FR France \n",
"16 80.0 FR France \n",
"17 82.0 FR France \n",
"18 82.0 FR France \n",
"19 72.0 FR France \n",
"20 69.0 FR France \n",
"21 51.0 FR France \n",
"22 39.0 FR France \n",
"23 26.0 FR France \n",
"24 18.0 FR France \n",
"25 15.0 FR France \n",
"26 16.0 FR France \n",
"27 25.0 FR France \n",
"28 27.0 FR France \n",
"29 29.0 FR France \n",
"... ... ... ... \n",
"1969 59.0 FR France \n",
"1970 64.0 FR France \n",
"1971 97.0 FR France \n",
"1972 93.0 FR France \n",
"1973 80.0 FR France \n",
"1974 116.0 FR France \n",
"1975 149.0 FR France \n",
"1976 281.0 FR France \n",
"1977 395.0 FR France \n",
"1978 485.0 FR France \n",
"1979 544.0 FR France \n",
"1980 689.0 FR France \n",
"1981 722.0 FR France \n",
"1982 762.0 FR France \n",
"1983 926.0 FR France \n",
"1984 1113.0 FR France \n",
"1985 1236.0 FR France \n",
"1986 832.0 FR France \n",
"1987 459.0 FR France \n",
"1988 207.0 FR France \n",
"1989 190.0 FR France \n",
"1990 198.0 FR France \n",
"1991 224.0 FR France \n",
"1992 266.0 FR France \n",
"1993 219.0 FR France \n",
"1994 176.0 FR France \n",
"1995 163.0 FR France \n",
"1996 195.0 FR France \n",
"1997 308.0 FR France \n",
"1998 213.0 FR France \n",
"\n",
"[1999 rows x 10 columns]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n", "path='/home/mhashan/Documents/Formation/Recherche_reproductible/Module3/incidence-PAY-3.csv'\n",
"if os.path.exists(path)==False:\n",
" raw_data = pd.read_csv(data_url, skiprows=1)\n",
"else:\n",
" raw_data=pd.read_csv(path, skiprow=1)\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,
......
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