Skip to content

M
mooc-rr
Commit e2200c5c authored by 47d07510df84c8e10a21889149b23ec9's avatar 47d07510df84c8e10a21889149b23ec9
Browse files
Options

Modification du document pour utiliser une sauvegarde des données

parent d812119c
Hide whitespace changes
Inline Side-by-side
Showing with 4803 additions and 11 deletions
module3/exo1/D:\DonneesMOOC.csv 0 → 100644
View file @ e2200c5c
This source diff could not be displayed because it is too large. You can view the blob instead.
module3/exo1/analyse-syndrome-grippal.ipynb
View file @ e2200c5c
...@@ -9,29 +9,28 @@ ...@@ -9,29 +9,28 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 1,
"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",
"from os import path as pth"
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"Les données de l'incidence du syndrome grippal sont disponibles du site Web du [Réseau Sentinelles](http://www.sentiweb.fr/). Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée. Nous téléchargeons toujours le jeu de données complet, qui commence en 1984 et se termine avec une semaine récente." "Les données de l'incidence du syndrome grippal sont disponibles du site Web du [Réseau Sentinelles](http://www.sentiweb.fr/). Par soucis d'efficacité et de pérennité, nous utilisons une copie locale de ces données. Dans le cas où ce fichier n'existerait pas ou plus, nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée. Ces données sont ensuite sauvegardées à l'emplacement défini pour pouvoir être réutilisées par la suite."
] ]
}, },
{ {
"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 +60,986 @@ ...@@ -61,11 +60,986 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 12,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<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",
" <th>geo_insee</th>\n",
" <th>geo_name</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>202120</td>\n",
" <td>3</td>\n",
" <td>10377</td>\n",
" <td>7601.0</td>\n",
" <td>13153.0</td>\n",
" <td>16</td>\n",
" <td>12.0</td>\n",
" <td>20.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>202119</td>\n",
" <td>3</td>\n",
" <td>9585</td>\n",
" <td>6901.0</td>\n",
" <td>12269.0</td>\n",
" <td>15</td>\n",
" <td>11.0</td>\n",
" <td>19.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>202118</td>\n",
" <td>3</td>\n",
" <td>12135</td>\n",
" <td>9165.0</td>\n",
" <td>15105.0</td>\n",
" <td>18</td>\n",
" <td>14.0</td>\n",
" <td>22.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>202117</td>\n",
" <td>3</td>\n",
" <td>12058</td>\n",
" <td>8891.0</td>\n",
" <td>15225.0</td>\n",
" <td>18</td>\n",
" <td>13.0</td>\n",
" <td>23.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>202116</td>\n",
" <td>3</td>\n",
" <td>16505</td>\n",
" <td>12735.0</td>\n",
" <td>20275.0</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>5</th>\n",
" <td>202115</td>\n",
" <td>3</td>\n",
" <td>19306</td>\n",
" <td>15398.0</td>\n",
" <td>23214.0</td>\n",
" <td>29</td>\n",
" <td>23.0</td>\n",
" <td>35.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>202114</td>\n",
" <td>3</td>\n",
" <td>21073</td>\n",
" <td>17099.0</td>\n",
" <td>25047.0</td>\n",
" <td>32</td>\n",
" <td>26.0</td>\n",
" <td>38.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>202113</td>\n",
" <td>3</td>\n",
" <td>26413</td>\n",
" <td>22094.0</td>\n",
" <td>30732.0</td>\n",
" <td>40</td>\n",
" <td>33.0</td>\n",
" <td>47.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>202112</td>\n",
" <td>3</td>\n",
" <td>30658</td>\n",
" <td>25919.0</td>\n",
" <td>35397.0</td>\n",
" <td>46</td>\n",
" <td>39.0</td>\n",
" <td>53.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>202111</td>\n",
" <td>3</td>\n",
" <td>24988</td>\n",
" <td>20718.0</td>\n",
" <td>29258.0</td>\n",
" <td>38</td>\n",
" <td>32.0</td>\n",
" <td>44.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>202110</td>\n",
" <td>3</td>\n",
" <td>19539</td>\n",
" <td>15951.0</td>\n",
" <td>23127.0</td>\n",
" <td>30</td>\n",
" <td>25.0</td>\n",
" <td>35.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>202109</td>\n",
" <td>3</td>\n",
" <td>17572</td>\n",
" <td>13926.0</td>\n",
" <td>21218.0</td>\n",
" <td>27</td>\n",
" <td>21.0</td>\n",
" <td>33.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>202108</td>\n",
" <td>3</td>\n",
" <td>20882</td>\n",
" <td>16907.0</td>\n",
" <td>24857.0</td>\n",
" <td>32</td>\n",
" <td>26.0</td>\n",
" <td>38.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>202107</td>\n",
" <td>3</td>\n",
" <td>22393</td>\n",
" <td>18303.0</td>\n",
" <td>26483.0</td>\n",
" <td>34</td>\n",
" <td>28.0</td>\n",
" <td>40.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>202106</td>\n",
" <td>3</td>\n",
" <td>23183</td>\n",
" <td>19134.0</td>\n",
" <td>27232.0</td>\n",
" <td>35</td>\n",
" <td>29.0</td>\n",
" <td>41.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>202105</td>\n",
" <td>3</td>\n",
" <td>22426</td>\n",
" <td>18445.0</td>\n",
" <td>26407.0</td>\n",
" <td>34</td>\n",
" <td>28.0</td>\n",
" <td>40.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>202104</td>\n",
" <td>3</td>\n",
" <td>25804</td>\n",
" <td>21491.0</td>\n",
" <td>30117.0</td>\n",
" <td>39</td>\n",
" <td>32.0</td>\n",
" <td>46.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</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",
" </tr>\n",
" <tr>\n",
" <th>18</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",
" </tr>\n",
" <tr>\n",
" <th>19</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",
" </tr>\n",
" <tr>\n",
" <th>20</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",
" </tr>\n",
" <tr>\n",
" <th>21</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",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>202051</td>\n",
" <td>3</td>\n",
" <td>21619</td>\n",
" <td>17370.0</td>\n",
" <td>25868.0</td>\n",
" <td>33</td>\n",
" <td>27.0</td>\n",
" <td>39.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</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",
" </tr>\n",
" <tr>\n",
" <th>24</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",
" </tr>\n",
" <tr>\n",
" <th>25</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",
" </tr>\n",
" <tr>\n",
" <th>26</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",
" </tr>\n",
" <tr>\n",
" <th>27</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>28</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>29</th>\n",
" <td>202044</td>\n",
" <td>3</td>\n",
" <td>44567</td>\n",
" <td>38521.0</td>\n",
" <td>50613.0</td>\n",
" <td>68</td>\n",
" <td>59.0</td>\n",
" <td>77.0</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>1878</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>1879</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>1880</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>1881</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>1882</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>1883</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>1884</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>1885</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>1886</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>1887</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>1888</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>1889</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>1890</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>1891</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>1892</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>1893</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>1894</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>1895</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>1896</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>1897</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>1898</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>1899</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>1900</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>1901</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>1902</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>1903</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>1904</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>1905</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>1906</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>1907</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>1908 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202120 3 10377 7601.0 13153.0 16 12.0 \n",
"1 202119 3 9585 6901.0 12269.0 15 11.0 \n",
"2 202118 3 12135 9165.0 15105.0 18 14.0 \n",
"3 202117 3 12058 8891.0 15225.0 18 13.0 \n",
"4 202116 3 16505 12735.0 20275.0 25 19.0 \n",
"5 202115 3 19306 15398.0 23214.0 29 23.0 \n",
"6 202114 3 21073 17099.0 25047.0 32 26.0 \n",
"7 202113 3 26413 22094.0 30732.0 40 33.0 \n",
"8 202112 3 30658 25919.0 35397.0 46 39.0 \n",
"9 202111 3 24988 20718.0 29258.0 38 32.0 \n",
"10 202110 3 19539 15951.0 23127.0 30 25.0 \n",
"11 202109 3 17572 13926.0 21218.0 27 21.0 \n",
"12 202108 3 20882 16907.0 24857.0 32 26.0 \n",
"13 202107 3 22393 18303.0 26483.0 34 28.0 \n",
"14 202106 3 23183 19134.0 27232.0 35 29.0 \n",
"15 202105 3 22426 18445.0 26407.0 34 28.0 \n",
"16 202104 3 25804 21491.0 30117.0 39 32.0 \n",
"17 202103 3 21810 17894.0 25726.0 33 27.0 \n",
"18 202102 3 17320 13906.0 20734.0 26 21.0 \n",
"19 202101 3 21799 17778.0 25820.0 33 27.0 \n",
"20 202053 3 21220 16498.0 25942.0 32 25.0 \n",
"21 202052 3 16428 12285.0 20571.0 25 19.0 \n",
"22 202051 3 21619 17370.0 25868.0 33 27.0 \n",
"23 202050 3 16845 13220.0 20470.0 26 20.0 \n",
"24 202049 3 12939 9923.0 15955.0 20 15.0 \n",
"25 202048 3 13804 10641.0 16967.0 21 16.0 \n",
"26 202047 3 19085 15285.0 22885.0 29 23.0 \n",
"27 202046 3 24801 20503.0 29099.0 38 31.0 \n",
"28 202045 3 42516 36857.0 48175.0 65 56.0 \n",
"29 202044 3 44567 38521.0 50613.0 68 59.0 \n",
"... ... ... ... ... ... ... ... \n",
"1878 198521 3 26096 19621.0 32571.0 47 35.0 \n",
"1879 198520 3 27896 20885.0 34907.0 51 38.0 \n",
"1880 198519 3 43154 32821.0 53487.0 78 59.0 \n",
"1881 198518 3 40555 29935.0 51175.0 74 55.0 \n",
"1882 198517 3 34053 24366.0 43740.0 62 44.0 \n",
"1883 198516 3 50362 36451.0 64273.0 91 66.0 \n",
"1884 198515 3 63881 45538.0 82224.0 116 83.0 \n",
"1885 198514 3 134545 114400.0 154690.0 244 207.0 \n",
"1886 198513 3 197206 176080.0 218332.0 357 319.0 \n",
"1887 198512 3 245240 223304.0 267176.0 445 405.0 \n",
"1888 198511 3 276205 252399.0 300011.0 501 458.0 \n",
"1889 198510 3 353231 326279.0 380183.0 640 591.0 \n",
"1890 198509 3 369895 341109.0 398681.0 670 618.0 \n",
"1891 198508 3 389886 359529.0 420243.0 707 652.0 \n",
"1892 198507 3 471852 432599.0 511105.0 855 784.0 \n",
"1893 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
"1894 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
"1895 198504 3 424937 390794.0 459080.0 770 708.0 \n",
"1896 198503 3 213901 174689.0 253113.0 388 317.0 \n",
"1897 198502 3 97586 80949.0 114223.0 177 147.0 \n",
"1898 198501 3 85489 65918.0 105060.0 155 120.0 \n",
"1899 198452 3 84830 60602.0 109058.0 154 110.0 \n",
"1900 198451 3 101726 80242.0 123210.0 185 146.0 \n",
"1901 198450 3 123680 101401.0 145959.0 225 184.0 \n",
"1902 198449 3 101073 81684.0 120462.0 184 149.0 \n",
"1903 198448 3 78620 60634.0 96606.0 143 110.0 \n",
"1904 198447 3 72029 54274.0 89784.0 131 99.0 \n",
"1905 198446 3 87330 67686.0 106974.0 159 123.0 \n",
"1906 198445 3 135223 101414.0 169032.0 246 184.0 \n",
"1907 198444 3 68422 20056.0 116788.0 125 37.0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 20.0 FR France \n",
"1 19.0 FR France \n",
"2 22.0 FR France \n",
"3 23.0 FR France \n",
"4 31.0 FR France \n",
"5 35.0 FR France \n",
"6 38.0 FR France \n",
"7 47.0 FR France \n",
"8 53.0 FR France \n",
"9 44.0 FR France \n",
"10 35.0 FR France \n",
"11 33.0 FR France \n",
"12 38.0 FR France \n",
"13 40.0 FR France \n",
"14 41.0 FR France \n",
"15 40.0 FR France \n",
"16 46.0 FR France \n",
"17 39.0 FR France \n",
"18 31.0 FR France \n",
"19 39.0 FR France \n",
"20 39.0 FR France \n",
"21 31.0 FR France \n",
"22 39.0 FR France \n",
"23 32.0 FR France \n",
"24 25.0 FR France \n",
"25 26.0 FR France \n",
"26 35.0 FR France \n",
"27 45.0 FR France \n",
"28 74.0 FR France \n",
"29 77.0 FR France \n",
"... ... ... ... \n",
"1878 59.0 FR France \n",
"1879 64.0 FR France \n",
"1880 97.0 FR France \n",
"1881 93.0 FR France \n",
"1882 80.0 FR France \n",
"1883 116.0 FR France \n",
"1884 149.0 FR France \n",
"1885 281.0 FR France \n",
"1886 395.0 FR France \n",
"1887 485.0 FR France \n",
"1888 544.0 FR France \n",
"1889 689.0 FR France \n",
"1890 722.0 FR France \n",
"1891 762.0 FR France \n",
"1892 926.0 FR France \n",
"1893 1113.0 FR France \n",
"1894 1236.0 FR France \n",
"1895 832.0 FR France \n",
"1896 459.0 FR France \n",
"1897 207.0 FR France \n",
"1898 190.0 FR France \n",
"1899 198.0 FR France \n",
"1900 224.0 FR France \n",
"1901 266.0 FR France \n",
"1902 219.0 FR France \n",
"1903 176.0 FR France \n",
"1904 163.0 FR France \n",
"1905 195.0 FR France \n",
"1906 308.0 FR France \n",
"1907 213.0 FR France \n",
"\n",
"[1908 rows x 10 columns]"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n", "file_path='DonneesMOOC.csv'\n",
"\n",
"if pth.isfile(file_path)==0:\n",
" raw_data = pd.read_csv(data_url, skiprows=1)\n",
" df=pd.DataFrame(raw_data,columns=['week','indicator','inc','inc_low','inc_up','inc100','inc100_low','inc100_up','geo_insee','geo_name'])\n",
" df.to_csv('r'+file_path,index=False)\n",
"else:\n",
" raw_data = pd.read_csv(file_path)\n",
"\n",
"raw_data" "raw_data"
] ]
}, },
...@@ -364,7 +1338,7 @@ ...@@ -364,7 +1338,7 @@
"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/rDonneesMOOC.csv 0 → 100644
View file @ e2200c5c
This source diff could not be displayed because it is too large. You can view the blob instead.
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment