Skip to content

M
mooc-rr
Commit d9ccc6f2 authored by 123bbe3bd54604f74fd95f73d2f93478's avatar 123bbe3bd54604f74fd95f73d2f93478
Browse files
Options

premier essai de réponse

parent 7852c92f
Show whitespace changes
Inline Side-by-side
Showing with 1040 additions and 10 deletions
module2/exo2/exercice.ipynb
View file @ d9ccc6f2
{
"cells": [],
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"datas = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"14.113000000000001\n",
"4.334094455301447\n",
"2.8\n",
"23.4\n",
"14.5\n"
]
}
],
"source": [
"print(np.average(datas))\n",
"print(np.std(datas, ddof=1))\n",
"print(np.min(datas))\n",
"print(np.max(datas))\n",
"print(np.median(datas))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
......@@ -16,10 +67,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module3/exo1/analyse-syndrome-grippal.ipynb
View file @ d9ccc6f2
......@@ -9,14 +9,15 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"import isoweek"
"import isoweek\n",
"import os"
]
},
{
......@@ -28,15 +29,994 @@
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"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>202011</td>\n",
" <td>3</td>\n",
" <td>101704</td>\n",
" <td>93652.0</td>\n",
" <td>109756.0</td>\n",
" <td>154</td>\n",
" <td>142.0</td>\n",
" <td>166.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>202010</td>\n",
" <td>3</td>\n",
" <td>104977</td>\n",
" <td>96650.0</td>\n",
" <td>113304.0</td>\n",
" <td>159</td>\n",
" <td>146.0</td>\n",
" <td>172.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>202009</td>\n",
" <td>3</td>\n",
" <td>110696</td>\n",
" <td>102066.0</td>\n",
" <td>119326.0</td>\n",
" <td>168</td>\n",
" <td>155.0</td>\n",
" <td>181.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>202008</td>\n",
" <td>3</td>\n",
" <td>143753</td>\n",
" <td>133984.0</td>\n",
" <td>153522.0</td>\n",
" <td>218</td>\n",
" <td>203.0</td>\n",
" <td>233.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>202007</td>\n",
" <td>3</td>\n",
" <td>183610</td>\n",
" <td>172812.0</td>\n",
" <td>194408.0</td>\n",
" <td>279</td>\n",
" <td>263.0</td>\n",
" <td>295.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>202006</td>\n",
" <td>3</td>\n",
" <td>206669</td>\n",
" <td>195481.0</td>\n",
" <td>217857.0</td>\n",
" <td>314</td>\n",
" <td>297.0</td>\n",
" <td>331.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>202005</td>\n",
" <td>3</td>\n",
" <td>187957</td>\n",
" <td>177445.0</td>\n",
" <td>198469.0</td>\n",
" <td>285</td>\n",
" <td>269.0</td>\n",
" <td>301.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>202004</td>\n",
" <td>3</td>\n",
" <td>122331</td>\n",
" <td>113492.0</td>\n",
" <td>131170.0</td>\n",
" <td>186</td>\n",
" <td>173.0</td>\n",
" <td>199.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>202003</td>\n",
" <td>3</td>\n",
" <td>78413</td>\n",
" <td>71330.0</td>\n",
" <td>85496.0</td>\n",
" <td>119</td>\n",
" <td>108.0</td>\n",
" <td>130.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>202002</td>\n",
" <td>3</td>\n",
" <td>53614</td>\n",
" <td>47654.0</td>\n",
" <td>59574.0</td>\n",
" <td>81</td>\n",
" <td>72.0</td>\n",
" <td>90.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>202001</td>\n",
" <td>3</td>\n",
" <td>36850</td>\n",
" <td>31608.0</td>\n",
" <td>42092.0</td>\n",
" <td>56</td>\n",
" <td>48.0</td>\n",
" <td>64.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>201952</td>\n",
" <td>3</td>\n",
" <td>28135</td>\n",
" <td>23220.0</td>\n",
" <td>33050.0</td>\n",
" <td>43</td>\n",
" <td>36.0</td>\n",
" <td>50.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>201951</td>\n",
" <td>3</td>\n",
" <td>29786</td>\n",
" <td>25042.0</td>\n",
" <td>34530.0</td>\n",
" <td>45</td>\n",
" <td>38.0</td>\n",
" <td>52.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>201950</td>\n",
" <td>3</td>\n",
" <td>34223</td>\n",
" <td>29156.0</td>\n",
" <td>39290.0</td>\n",
" <td>52</td>\n",
" <td>44.0</td>\n",
" <td>60.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>201949</td>\n",
" <td>3</td>\n",
" <td>25662</td>\n",
" <td>21414.0</td>\n",
" <td>29910.0</td>\n",
" <td>39</td>\n",
" <td>33.0</td>\n",
" <td>45.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>201948</td>\n",
" <td>3</td>\n",
" <td>22367</td>\n",
" <td>18055.0</td>\n",
" <td>26679.0</td>\n",
" <td>34</td>\n",
" <td>27.0</td>\n",
" <td>41.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>201947</td>\n",
" <td>3</td>\n",
" <td>18669</td>\n",
" <td>14759.0</td>\n",
" <td>22579.0</td>\n",
" <td>28</td>\n",
" <td>22.0</td>\n",
" <td>34.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>201946</td>\n",
" <td>3</td>\n",
" <td>16030</td>\n",
" <td>12567.0</td>\n",
" <td>19493.0</td>\n",
" <td>24</td>\n",
" <td>19.0</td>\n",
" <td>29.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>201945</td>\n",
" <td>3</td>\n",
" <td>10138</td>\n",
" <td>7160.0</td>\n",
" <td>13116.0</td>\n",
" <td>15</td>\n",
" <td>10.0</td>\n",
" <td>20.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>201944</td>\n",
" <td>3</td>\n",
" <td>7822</td>\n",
" <td>5010.0</td>\n",
" <td>10634.0</td>\n",
" <td>12</td>\n",
" <td>8.0</td>\n",
" <td>16.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>201943</td>\n",
" <td>3</td>\n",
" <td>9487</td>\n",
" <td>6448.0</td>\n",
" <td>12526.0</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>21</th>\n",
" <td>201942</td>\n",
" <td>3</td>\n",
" <td>7747</td>\n",
" <td>5243.0</td>\n",
" <td>10251.0</td>\n",
" <td>12</td>\n",
" <td>8.0</td>\n",
" <td>16.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>201941</td>\n",
" <td>3</td>\n",
" <td>7122</td>\n",
" <td>4720.0</td>\n",
" <td>9524.0</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>23</th>\n",
" <td>201940</td>\n",
" <td>3</td>\n",
" <td>8505</td>\n",
" <td>5784.0</td>\n",
" <td>11226.0</td>\n",
" <td>13</td>\n",
" <td>9.0</td>\n",
" <td>17.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>201939</td>\n",
" <td>3</td>\n",
" <td>7091</td>\n",
" <td>4462.0</td>\n",
" <td>9720.0</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>25</th>\n",
" <td>201938</td>\n",
" <td>3</td>\n",
" <td>4897</td>\n",
" <td>2891.0</td>\n",
" <td>6903.0</td>\n",
" <td>7</td>\n",
" <td>4.0</td>\n",
" <td>10.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>201937</td>\n",
" <td>3</td>\n",
" <td>3172</td>\n",
" <td>1367.0</td>\n",
" <td>4977.0</td>\n",
" <td>5</td>\n",
" <td>2.0</td>\n",
" <td>8.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>201936</td>\n",
" <td>3</td>\n",
" <td>2295</td>\n",
" <td>728.0</td>\n",
" <td>3862.0</td>\n",
" <td>3</td>\n",
" <td>1.0</td>\n",
" <td>5.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>201935</td>\n",
" <td>3</td>\n",
" <td>1010</td>\n",
" <td>2.0</td>\n",
" <td>2018.0</td>\n",
" <td>2</td>\n",
" <td>0.0</td>\n",
" <td>4.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>201934</td>\n",
" <td>3</td>\n",
" <td>1672</td>\n",
" <td>279.0</td>\n",
" <td>3065.0</td>\n",
" <td>3</td>\n",
" <td>1.0</td>\n",
" <td>5.0</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>1816</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>1817</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>1818</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>1819</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>1820</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>1821</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>1822</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>1823</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>1824</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>1825</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>1826</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>1827</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>1828</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>1829</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>1830</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>1831</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>1832</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>1833</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>1834</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>1835</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>1836</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>1837</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>1838</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>1839</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>1840</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>1841</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>1842</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>1843</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>1844</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>1845</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>1846 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202011 3 101704 93652.0 109756.0 154 142.0 \n",
"1 202010 3 104977 96650.0 113304.0 159 146.0 \n",
"2 202009 3 110696 102066.0 119326.0 168 155.0 \n",
"3 202008 3 143753 133984.0 153522.0 218 203.0 \n",
"4 202007 3 183610 172812.0 194408.0 279 263.0 \n",
"5 202006 3 206669 195481.0 217857.0 314 297.0 \n",
"6 202005 3 187957 177445.0 198469.0 285 269.0 \n",
"7 202004 3 122331 113492.0 131170.0 186 173.0 \n",
"8 202003 3 78413 71330.0 85496.0 119 108.0 \n",
"9 202002 3 53614 47654.0 59574.0 81 72.0 \n",
"10 202001 3 36850 31608.0 42092.0 56 48.0 \n",
"11 201952 3 28135 23220.0 33050.0 43 36.0 \n",
"12 201951 3 29786 25042.0 34530.0 45 38.0 \n",
"13 201950 3 34223 29156.0 39290.0 52 44.0 \n",
"14 201949 3 25662 21414.0 29910.0 39 33.0 \n",
"15 201948 3 22367 18055.0 26679.0 34 27.0 \n",
"16 201947 3 18669 14759.0 22579.0 28 22.0 \n",
"17 201946 3 16030 12567.0 19493.0 24 19.0 \n",
"18 201945 3 10138 7160.0 13116.0 15 10.0 \n",
"19 201944 3 7822 5010.0 10634.0 12 8.0 \n",
"20 201943 3 9487 6448.0 12526.0 14 9.0 \n",
"21 201942 3 7747 5243.0 10251.0 12 8.0 \n",
"22 201941 3 7122 4720.0 9524.0 11 7.0 \n",
"23 201940 3 8505 5784.0 11226.0 13 9.0 \n",
"24 201939 3 7091 4462.0 9720.0 11 7.0 \n",
"25 201938 3 4897 2891.0 6903.0 7 4.0 \n",
"26 201937 3 3172 1367.0 4977.0 5 2.0 \n",
"27 201936 3 2295 728.0 3862.0 3 1.0 \n",
"28 201935 3 1010 2.0 2018.0 2 0.0 \n",
"29 201934 3 1672 279.0 3065.0 3 1.0 \n",
"... ... ... ... ... ... ... ... \n",
"1816 198521 3 26096 19621.0 32571.0 47 35.0 \n",
"1817 198520 3 27896 20885.0 34907.0 51 38.0 \n",
"1818 198519 3 43154 32821.0 53487.0 78 59.0 \n",
"1819 198518 3 40555 29935.0 51175.0 74 55.0 \n",
"1820 198517 3 34053 24366.0 43740.0 62 44.0 \n",
"1821 198516 3 50362 36451.0 64273.0 91 66.0 \n",
"1822 198515 3 63881 45538.0 82224.0 116 83.0 \n",
"1823 198514 3 134545 114400.0 154690.0 244 207.0 \n",
"1824 198513 3 197206 176080.0 218332.0 357 319.0 \n",
"1825 198512 3 245240 223304.0 267176.0 445 405.0 \n",
"1826 198511 3 276205 252399.0 300011.0 501 458.0 \n",
"1827 198510 3 353231 326279.0 380183.0 640 591.0 \n",
"1828 198509 3 369895 341109.0 398681.0 670 618.0 \n",
"1829 198508 3 389886 359529.0 420243.0 707 652.0 \n",
"1830 198507 3 471852 432599.0 511105.0 855 784.0 \n",
"1831 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
"1832 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
"1833 198504 3 424937 390794.0 459080.0 770 708.0 \n",
"1834 198503 3 213901 174689.0 253113.0 388 317.0 \n",
"1835 198502 3 97586 80949.0 114223.0 177 147.0 \n",
"1836 198501 3 85489 65918.0 105060.0 155 120.0 \n",
"1837 198452 3 84830 60602.0 109058.0 154 110.0 \n",
"1838 198451 3 101726 80242.0 123210.0 185 146.0 \n",
"1839 198450 3 123680 101401.0 145959.0 225 184.0 \n",
"1840 198449 3 101073 81684.0 120462.0 184 149.0 \n",
"1841 198448 3 78620 60634.0 96606.0 143 110.0 \n",
"1842 198447 3 72029 54274.0 89784.0 131 99.0 \n",
"1843 198446 3 87330 67686.0 106974.0 159 123.0 \n",
"1844 198445 3 135223 101414.0 169032.0 246 184.0 \n",
"1845 198444 3 68422 20056.0 116788.0 125 37.0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 166.0 FR France \n",
"1 172.0 FR France \n",
"2 181.0 FR France \n",
"3 233.0 FR France \n",
"4 295.0 FR France \n",
"5 331.0 FR France \n",
"6 301.0 FR France \n",
"7 199.0 FR France \n",
"8 130.0 FR France \n",
"9 90.0 FR France \n",
"10 64.0 FR France \n",
"11 50.0 FR France \n",
"12 52.0 FR France \n",
"13 60.0 FR France \n",
"14 45.0 FR France \n",
"15 41.0 FR France \n",
"16 34.0 FR France \n",
"17 29.0 FR France \n",
"18 20.0 FR France \n",
"19 16.0 FR France \n",
"20 19.0 FR France \n",
"21 16.0 FR France \n",
"22 15.0 FR France \n",
"23 17.0 FR France \n",
"24 15.0 FR France \n",
"25 10.0 FR France \n",
"26 8.0 FR France \n",
"27 5.0 FR France \n",
"28 4.0 FR France \n",
"29 5.0 FR France \n",
"... ... ... ... \n",
"1816 59.0 FR France \n",
"1817 64.0 FR France \n",
"1818 97.0 FR France \n",
"1819 93.0 FR France \n",
"1820 80.0 FR France \n",
"1821 116.0 FR France \n",
"1822 149.0 FR France \n",
"1823 281.0 FR France \n",
"1824 395.0 FR France \n",
"1825 485.0 FR France \n",
"1826 544.0 FR France \n",
"1827 689.0 FR France \n",
"1828 722.0 FR France \n",
"1829 762.0 FR France \n",
"1830 926.0 FR France \n",
"1831 1113.0 FR France \n",
"1832 1236.0 FR France \n",
"1833 832.0 FR France \n",
"1834 459.0 FR France \n",
"1835 207.0 FR France \n",
"1836 190.0 FR France \n",
"1837 198.0 FR France \n",
"1838 224.0 FR France \n",
"1839 266.0 FR France \n",
"1840 219.0 FR France \n",
"1841 176.0 FR France \n",
"1842 163.0 FR France \n",
"1843 195.0 FR France \n",
"1844 308.0 FR France \n",
"1845 213.0 FR France \n",
"\n",
"[1846 rows x 10 columns]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"if os.path.exists('datas_sentinelle.csv') == True:\n",
" raw_data = pd.read_csv('datas_sentinelle.csv', skiprows=1)\n",
"else:\n",
" data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"\n",
" raw_data = pd.read_csv(data_url, skiprows=1)\n",
"raw_data"
]
},
{
"cell_type": "markdown",
"metadata": {},
......@@ -364,7 +1344,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.1"
"version": "3.6.4"
}
},
"nbformat": 4,
......
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