Changed data to use local file

parent 0ffd5555
...@@ -96,7 +96,7 @@ ...@@ -96,7 +96,7 @@
} }
], ],
"source": [ "source": [
"%matplotlib inline\n", "%matplotlib inline \n",
"import matplotlib.pyplot as plt\n", "import matplotlib.pyplot as plt\n",
"\n", "\n",
"np.random.seed(seed=42)\n", "np.random.seed(seed=42)\n",
......
...@@ -28,13 +28,11 @@ ...@@ -28,13 +28,11 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 14,
"metadata": { "metadata": {},
"collapsed": true
},
"outputs": [], "outputs": [],
"source": [ "source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" "data_url = \"incidence-PAY-3.csv\""
] ]
}, },
{ {
...@@ -56,14 +54,982 @@ ...@@ -56,14 +54,982 @@
"| geo_insee | Code de la zone géographique concernée (Code INSEE) http://www.insee.fr/fr/methodes/nomenclatures/cog/ |\n", "| geo_insee | Code de la zone géographique concernée (Code INSEE) http://www.insee.fr/fr/methodes/nomenclatures/cog/ |\n",
"| geo_name | Libellé de la zone géographique (ce libellé peut être modifié sans préavis) |\n", "| geo_name | Libellé de la zone géographique (ce libellé peut être modifié sans préavis) |\n",
"\n", "\n",
"La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skiprows=1`." "La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skiprows=1`.\n",
"Lire les données depuis le fichier local."
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 15,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"data": {
"text/html": [
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" <th></th>\n",
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" <th>inc</th>\n",
" <th>inc_low</th>\n",
" <th>inc_up</th>\n",
" <th>inc100</th>\n",
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" <td>254423.0</td>\n",
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" <th>1</th>\n",
" <td>202403</td>\n",
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" <td>163970</td>\n",
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" <td>175226.0</td>\n",
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" <th>2</th>\n",
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" <td>139419.0</td>\n",
" <td>194</td>\n",
" <td>179.0</td>\n",
" <td>209.0</td>\n",
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" <td>120769</td>\n",
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" <td>132086.0</td>\n",
" <td>181</td>\n",
" <td>164.0</td>\n",
" <td>198.0</td>\n",
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" <td>France</td>\n",
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" <th>4</th>\n",
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" <td>115446</td>\n",
" <td>103738.0</td>\n",
" <td>127154.0</td>\n",
" <td>174</td>\n",
" <td>156.0</td>\n",
" <td>192.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>5</th>\n",
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" <td>223</td>\n",
" <td>206.0</td>\n",
" <td>240.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>7</th>\n",
" <td>202349</td>\n",
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" <td>136422.0</td>\n",
" <td>158682.0</td>\n",
" <td>222</td>\n",
" <td>205.0</td>\n",
" <td>239.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>8</th>\n",
" <td>202348</td>\n",
" <td>3</td>\n",
" <td>124204</td>\n",
" <td>113479.0</td>\n",
" <td>134929.0</td>\n",
" <td>187</td>\n",
" <td>171.0</td>\n",
" <td>203.0</td>\n",
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" <td>France</td>\n",
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" <th>9</th>\n",
" <td>202347</td>\n",
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" <td>110910</td>\n",
" <td>100658.0</td>\n",
" <td>121162.0</td>\n",
" <td>167</td>\n",
" <td>152.0</td>\n",
" <td>182.0</td>\n",
" <td>FR</td>\n",
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" <td>202346</td>\n",
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" <td>83853</td>\n",
" <td>75096.0</td>\n",
" <td>92610.0</td>\n",
" <td>126</td>\n",
" <td>113.0</td>\n",
" <td>139.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>11</th>\n",
" <td>202345</td>\n",
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" <td>72003</td>\n",
" <td>63178.0</td>\n",
" <td>80828.0</td>\n",
" <td>108</td>\n",
" <td>95.0</td>\n",
" <td>121.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>12</th>\n",
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" <td>42813.0</td>\n",
" <td>57091.0</td>\n",
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" <td>86.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>13</th>\n",
" <td>202343</td>\n",
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" <td>44982</td>\n",
" <td>38170.0</td>\n",
" <td>51794.0</td>\n",
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" <td>58.0</td>\n",
" <td>78.0</td>\n",
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" <td>France</td>\n",
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" <th>14</th>\n",
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" <td>56842</td>\n",
" <td>49277.0</td>\n",
" <td>64407.0</td>\n",
" <td>86</td>\n",
" <td>75.0</td>\n",
" <td>97.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>15</th>\n",
" <td>202341</td>\n",
" <td>3</td>\n",
" <td>58357</td>\n",
" <td>51032.0</td>\n",
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" <td>77.0</td>\n",
" <td>99.0</td>\n",
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" <th>16</th>\n",
" <td>202340</td>\n",
" <td>3</td>\n",
" <td>68894</td>\n",
" <td>60069.0</td>\n",
" <td>77719.0</td>\n",
" <td>104</td>\n",
" <td>91.0</td>\n",
" <td>117.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>17</th>\n",
" <td>202339</td>\n",
" <td>3</td>\n",
" <td>72003</td>\n",
" <td>63452.0</td>\n",
" <td>80554.0</td>\n",
" <td>108</td>\n",
" <td>95.0</td>\n",
" <td>121.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>18</th>\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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" <th>19</th>\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>20</th>\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",
" </tr>\n",
" <tr>\n",
" <th>21</th>\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",
" </tr>\n",
" <tr>\n",
" <th>22</th>\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",
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" <tr>\n",
" <th>23</th>\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>24</th>\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>25</th>\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>26</th>\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>27</th>\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>28</th>\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>29</th>\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",
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" <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>2018</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>2019</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>2020</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>2021</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>2022</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>2023</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>2024</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>2025</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>2026</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>2027</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>2028</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>2029</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>2030</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>2031</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>2032</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>2033</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>2034</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>2035</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>2036</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>2037</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>2038</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>2039</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>2040</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>2041</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>2042</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>2043</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>2044</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>2045</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>2046</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>2047</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>2048 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202404 3 238623 222823.0 254423.0 358 334.0 \n",
"1 202403 3 163970 152714.0 175226.0 246 229.0 \n",
"2 202402 3 129436 119453.0 139419.0 194 179.0 \n",
"3 202401 3 120769 109452.0 132086.0 181 164.0 \n",
"4 202352 3 115446 103738.0 127154.0 174 156.0 \n",
"5 202351 3 148755 136546.0 160964.0 224 206.0 \n",
"6 202350 3 147971 136787.0 159155.0 223 206.0 \n",
"7 202349 3 147552 136422.0 158682.0 222 205.0 \n",
"8 202348 3 124204 113479.0 134929.0 187 171.0 \n",
"9 202347 3 110910 100658.0 121162.0 167 152.0 \n",
"10 202346 3 83853 75096.0 92610.0 126 113.0 \n",
"11 202345 3 72003 63178.0 80828.0 108 95.0 \n",
"12 202344 3 49952 42813.0 57091.0 75 64.0 \n",
"13 202343 3 44982 38170.0 51794.0 68 58.0 \n",
"14 202342 3 56842 49277.0 64407.0 86 75.0 \n",
"15 202341 3 58357 51032.0 65682.0 88 77.0 \n",
"16 202340 3 68894 60069.0 77719.0 104 91.0 \n",
"17 202339 3 72003 63452.0 80554.0 108 95.0 \n",
"18 202338 3 63218 55227.0 71209.0 95 83.0 \n",
"19 202337 3 49085 42079.0 56091.0 74 63.0 \n",
"20 202336 3 38247 32237.0 44257.0 58 49.0 \n",
"21 202335 3 31695 26013.0 37377.0 48 39.0 \n",
"22 202334 3 26663 21057.0 32269.0 40 32.0 \n",
"23 202333 3 19144 13161.0 25127.0 29 20.0 \n",
"24 202332 3 14641 10285.0 18997.0 22 15.0 \n",
"25 202331 3 15286 10705.0 19867.0 23 16.0 \n",
"26 202330 3 13205 8647.0 17763.0 20 13.0 \n",
"27 202329 3 11122 7113.0 15131.0 17 11.0 \n",
"28 202328 3 9179 5703.0 12655.0 14 9.0 \n",
"29 202327 3 8999 5763.0 12235.0 14 9.0 \n",
"... ... ... ... ... ... ... ... \n",
"2018 198521 3 26096 19621.0 32571.0 47 35.0 \n",
"2019 198520 3 27896 20885.0 34907.0 51 38.0 \n",
"2020 198519 3 43154 32821.0 53487.0 78 59.0 \n",
"2021 198518 3 40555 29935.0 51175.0 74 55.0 \n",
"2022 198517 3 34053 24366.0 43740.0 62 44.0 \n",
"2023 198516 3 50362 36451.0 64273.0 91 66.0 \n",
"2024 198515 3 63881 45538.0 82224.0 116 83.0 \n",
"2025 198514 3 134545 114400.0 154690.0 244 207.0 \n",
"2026 198513 3 197206 176080.0 218332.0 357 319.0 \n",
"2027 198512 3 245240 223304.0 267176.0 445 405.0 \n",
"2028 198511 3 276205 252399.0 300011.0 501 458.0 \n",
"2029 198510 3 353231 326279.0 380183.0 640 591.0 \n",
"2030 198509 3 369895 341109.0 398681.0 670 618.0 \n",
"2031 198508 3 389886 359529.0 420243.0 707 652.0 \n",
"2032 198507 3 471852 432599.0 511105.0 855 784.0 \n",
"2033 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
"2034 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
"2035 198504 3 424937 390794.0 459080.0 770 708.0 \n",
"2036 198503 3 213901 174689.0 253113.0 388 317.0 \n",
"2037 198502 3 97586 80949.0 114223.0 177 147.0 \n",
"2038 198501 3 85489 65918.0 105060.0 155 120.0 \n",
"2039 198452 3 84830 60602.0 109058.0 154 110.0 \n",
"2040 198451 3 101726 80242.0 123210.0 185 146.0 \n",
"2041 198450 3 123680 101401.0 145959.0 225 184.0 \n",
"2042 198449 3 101073 81684.0 120462.0 184 149.0 \n",
"2043 198448 3 78620 60634.0 96606.0 143 110.0 \n",
"2044 198447 3 72029 54274.0 89784.0 131 99.0 \n",
"2045 198446 3 87330 67686.0 106974.0 159 123.0 \n",
"2046 198445 3 135223 101414.0 169032.0 246 184.0 \n",
"2047 198444 3 68422 20056.0 116788.0 125 37.0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 382.0 FR France \n",
"1 263.0 FR France \n",
"2 209.0 FR France \n",
"3 198.0 FR France \n",
"4 192.0 FR France \n",
"5 242.0 FR France \n",
"6 240.0 FR France \n",
"7 239.0 FR France \n",
"8 203.0 FR France \n",
"9 182.0 FR France \n",
"10 139.0 FR France \n",
"11 121.0 FR France \n",
"12 86.0 FR France \n",
"13 78.0 FR France \n",
"14 97.0 FR France \n",
"15 99.0 FR France \n",
"16 117.0 FR France \n",
"17 121.0 FR France \n",
"18 107.0 FR France \n",
"19 85.0 FR France \n",
"20 67.0 FR France \n",
"21 57.0 FR France \n",
"22 48.0 FR France \n",
"23 38.0 FR France \n",
"24 29.0 FR France \n",
"25 30.0 FR France \n",
"26 27.0 FR France \n",
"27 23.0 FR France \n",
"28 19.0 FR France \n",
"29 19.0 FR France \n",
"... ... ... ... \n",
"2018 59.0 FR France \n",
"2019 64.0 FR France \n",
"2020 97.0 FR France \n",
"2021 93.0 FR France \n",
"2022 80.0 FR France \n",
"2023 116.0 FR France \n",
"2024 149.0 FR France \n",
"2025 281.0 FR France \n",
"2026 395.0 FR France \n",
"2027 485.0 FR France \n",
"2028 544.0 FR France \n",
"2029 689.0 FR France \n",
"2030 722.0 FR France \n",
"2031 762.0 FR France \n",
"2032 926.0 FR France \n",
"2033 1113.0 FR France \n",
"2034 1236.0 FR France \n",
"2035 832.0 FR France \n",
"2036 459.0 FR France \n",
"2037 207.0 FR France \n",
"2038 190.0 FR France \n",
"2039 198.0 FR France \n",
"2040 224.0 FR France \n",
"2041 266.0 FR France \n",
"2042 219.0 FR France \n",
"2043 176.0 FR France \n",
"2044 163.0 FR France \n",
"2045 195.0 FR France \n",
"2046 308.0 FR France \n",
"2047 213.0 FR France \n",
"\n",
"[2048 rows x 10 columns]"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n", "raw_data = pd.read_csv(data_url, skiprows=1)\n",
"raw_data" "raw_data"
...@@ -364,7 +1330,7 @@ ...@@ -364,7 +1330,7 @@
"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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