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e2900e5da2478df97d853a0667babc29
mooc-rr
Commits
50aef58b
Commit
50aef58b
authored
Jun 24, 2025
by
e2900e5da2478df97d853a0667babc29
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exercice.ipynb
module3/exo2/exercice.ipynb
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module3/exo2/exercice.ipynb
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50aef58b
{
"cells": [],
"cells": [
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"import isoweek"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"data_url = \"https://www.sentiweb.fr/datasets/all/inc-7-PAY.csv\""
]
},
{
"cell_type": "code",
"execution_count": 12,
"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>202524</td>\n",
" <td>7</td>\n",
" <td>4234</td>\n",
" <td>1856</td>\n",
" <td>6612</td>\n",
" <td>6</td>\n",
" <td>2</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>202523</td>\n",
" <td>7</td>\n",
" <td>4858</td>\n",
" <td>2623</td>\n",
" <td>7093</td>\n",
" <td>7</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>202522</td>\n",
" <td>7</td>\n",
" <td>6837</td>\n",
" <td>3940</td>\n",
" <td>9734</td>\n",
" <td>10</td>\n",
" <td>6</td>\n",
" <td>14</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>202521</td>\n",
" <td>7</td>\n",
" <td>4693</td>\n",
" <td>2653</td>\n",
" <td>6733</td>\n",
" <td>7</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>202520</td>\n",
" <td>7</td>\n",
" <td>3083</td>\n",
" <td>1535</td>\n",
" <td>4631</td>\n",
" <td>5</td>\n",
" <td>3</td>\n",
" <td>7</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>202519</td>\n",
" <td>7</td>\n",
" <td>5084</td>\n",
" <td>1997</td>\n",
" <td>8171</td>\n",
" <td>8</td>\n",
" <td>3</td>\n",
" <td>13</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>202518</td>\n",
" <td>7</td>\n",
" <td>5003</td>\n",
" <td>2718</td>\n",
" <td>7288</td>\n",
" <td>7</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>202517</td>\n",
" <td>7</td>\n",
" <td>6246</td>\n",
" <td>3424</td>\n",
" <td>9068</td>\n",
" <td>9</td>\n",
" <td>5</td>\n",
" <td>13</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>202516</td>\n",
" <td>7</td>\n",
" <td>6151</td>\n",
" <td>3193</td>\n",
" <td>9109</td>\n",
" <td>9</td>\n",
" <td>5</td>\n",
" <td>13</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>202515</td>\n",
" <td>7</td>\n",
" <td>5557</td>\n",
" <td>3262</td>\n",
" <td>7852</td>\n",
" <td>8</td>\n",
" <td>5</td>\n",
" <td>11</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>202514</td>\n",
" <td>7</td>\n",
" <td>4984</td>\n",
" <td>2858</td>\n",
" <td>7110</td>\n",
" <td>7</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>202513</td>\n",
" <td>7</td>\n",
" <td>5964</td>\n",
" <td>3608</td>\n",
" <td>8320</td>\n",
" <td>9</td>\n",
" <td>5</td>\n",
" <td>13</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>202512</td>\n",
" <td>7</td>\n",
" <td>3855</td>\n",
" <td>1995</td>\n",
" <td>5715</td>\n",
" <td>6</td>\n",
" <td>3</td>\n",
" <td>9</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>202511</td>\n",
" <td>7</td>\n",
" <td>5878</td>\n",
" <td>2747</td>\n",
" <td>9009</td>\n",
" <td>9</td>\n",
" <td>4</td>\n",
" <td>14</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>202510</td>\n",
" <td>7</td>\n",
" <td>2921</td>\n",
" <td>1421</td>\n",
" <td>4421</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>6</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>202509</td>\n",
" <td>7</td>\n",
" <td>3381</td>\n",
" <td>1468</td>\n",
" <td>5294</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>8</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>202508</td>\n",
" <td>7</td>\n",
" <td>2835</td>\n",
" <td>1286</td>\n",
" <td>4384</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>6</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>202507</td>\n",
" <td>7</td>\n",
" <td>4502</td>\n",
" <td>2382</td>\n",
" <td>6622</td>\n",
" <td>7</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>202506</td>\n",
" <td>7</td>\n",
" <td>3455</td>\n",
" <td>1958</td>\n",
" <td>4952</td>\n",
" <td>5</td>\n",
" <td>3</td>\n",
" <td>7</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>202505</td>\n",
" <td>7</td>\n",
" <td>2087</td>\n",
" <td>1056</td>\n",
" <td>3118</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>202504</td>\n",
" <td>7</td>\n",
" <td>6895</td>\n",
" <td>4466</td>\n",
" <td>9324</td>\n",
" <td>10</td>\n",
" <td>6</td>\n",
" <td>14</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>202503</td>\n",
" <td>7</td>\n",
" <td>2462</td>\n",
" <td>1161</td>\n",
" <td>3763</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>6</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>202502</td>\n",
" <td>7</td>\n",
" <td>5966</td>\n",
" <td>2757</td>\n",
" <td>9175</td>\n",
" <td>9</td>\n",
" <td>4</td>\n",
" <td>14</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>202501</td>\n",
" <td>7</td>\n",
" <td>6059</td>\n",
" <td>2451</td>\n",
" <td>9667</td>\n",
" <td>9</td>\n",
" <td>4</td>\n",
" <td>14</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>202452</td>\n",
" <td>7</td>\n",
" <td>4356</td>\n",
" <td>1776</td>\n",
" <td>6936</td>\n",
" <td>7</td>\n",
" <td>3</td>\n",
" <td>11</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>202451</td>\n",
" <td>7</td>\n",
" <td>4670</td>\n",
" <td>2239</td>\n",
" <td>7101</td>\n",
" <td>7</td>\n",
" <td>3</td>\n",
" <td>11</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>202450</td>\n",
" <td>7</td>\n",
" <td>7363</td>\n",
" <td>4438</td>\n",
" <td>10288</td>\n",
" <td>11</td>\n",
" <td>7</td>\n",
" <td>15</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>202449</td>\n",
" <td>7</td>\n",
" <td>6077</td>\n",
" <td>3631</td>\n",
" <td>8523</td>\n",
" <td>9</td>\n",
" <td>5</td>\n",
" <td>13</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>202448</td>\n",
" <td>7</td>\n",
" <td>4189</td>\n",
" <td>1454</td>\n",
" <td>6924</td>\n",
" <td>6</td>\n",
" <td>2</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>202447</td>\n",
" <td>7</td>\n",
" <td>1931</td>\n",
" <td>726</td>\n",
" <td>3136</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>5</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>1772</th>\n",
" <td>199126</td>\n",
" <td>7</td>\n",
" <td>17608</td>\n",
" <td>11304</td>\n",
" <td>23912</td>\n",
" <td>31</td>\n",
" <td>20</td>\n",
" <td>42</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1773</th>\n",
" <td>199125</td>\n",
" <td>7</td>\n",
" <td>16169</td>\n",
" <td>10700</td>\n",
" <td>21638</td>\n",
" <td>28</td>\n",
" <td>18</td>\n",
" <td>38</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1774</th>\n",
" <td>199124</td>\n",
" <td>7</td>\n",
" <td>16171</td>\n",
" <td>10071</td>\n",
" <td>22271</td>\n",
" <td>28</td>\n",
" <td>17</td>\n",
" <td>39</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1775</th>\n",
" <td>199123</td>\n",
" <td>7</td>\n",
" <td>11947</td>\n",
" <td>7671</td>\n",
" <td>16223</td>\n",
" <td>21</td>\n",
" <td>13</td>\n",
" <td>29</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1776</th>\n",
" <td>199122</td>\n",
" <td>7</td>\n",
" <td>15452</td>\n",
" <td>9953</td>\n",
" <td>20951</td>\n",
" <td>27</td>\n",
" <td>17</td>\n",
" <td>37</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1777</th>\n",
" <td>199121</td>\n",
" <td>7</td>\n",
" <td>14903</td>\n",
" <td>8975</td>\n",
" <td>20831</td>\n",
" <td>26</td>\n",
" <td>16</td>\n",
" <td>36</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1778</th>\n",
" <td>199120</td>\n",
" <td>7</td>\n",
" <td>19053</td>\n",
" <td>12742</td>\n",
" <td>25364</td>\n",
" <td>34</td>\n",
" <td>23</td>\n",
" <td>45</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1779</th>\n",
" <td>199119</td>\n",
" <td>7</td>\n",
" <td>16739</td>\n",
" <td>11246</td>\n",
" <td>22232</td>\n",
" <td>29</td>\n",
" <td>19</td>\n",
" <td>39</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1780</th>\n",
" <td>199118</td>\n",
" <td>7</td>\n",
" <td>21385</td>\n",
" <td>13882</td>\n",
" <td>28888</td>\n",
" <td>38</td>\n",
" <td>25</td>\n",
" <td>51</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1781</th>\n",
" <td>199117</td>\n",
" <td>7</td>\n",
" <td>13462</td>\n",
" <td>8877</td>\n",
" <td>18047</td>\n",
" <td>24</td>\n",
" <td>16</td>\n",
" <td>32</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1782</th>\n",
" <td>199116</td>\n",
" <td>7</td>\n",
" <td>14857</td>\n",
" <td>10068</td>\n",
" <td>19646</td>\n",
" <td>26</td>\n",
" <td>18</td>\n",
" <td>34</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1783</th>\n",
" <td>199115</td>\n",
" <td>7</td>\n",
" <td>13975</td>\n",
" <td>9781</td>\n",
" <td>18169</td>\n",
" <td>25</td>\n",
" <td>18</td>\n",
" <td>32</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1784</th>\n",
" <td>199114</td>\n",
" <td>7</td>\n",
" <td>12265</td>\n",
" <td>7684</td>\n",
" <td>16846</td>\n",
" <td>22</td>\n",
" <td>14</td>\n",
" <td>30</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1785</th>\n",
" <td>199113</td>\n",
" <td>7</td>\n",
" <td>9567</td>\n",
" <td>6041</td>\n",
" <td>13093</td>\n",
" <td>17</td>\n",
" <td>11</td>\n",
" <td>23</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1786</th>\n",
" <td>199112</td>\n",
" <td>7</td>\n",
" <td>10864</td>\n",
" <td>7331</td>\n",
" <td>14397</td>\n",
" <td>19</td>\n",
" <td>13</td>\n",
" <td>25</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1787</th>\n",
" <td>199111</td>\n",
" <td>7</td>\n",
" <td>15574</td>\n",
" <td>11184</td>\n",
" <td>19964</td>\n",
" <td>27</td>\n",
" <td>19</td>\n",
" <td>35</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1788</th>\n",
" <td>199110</td>\n",
" <td>7</td>\n",
" <td>16643</td>\n",
" <td>11372</td>\n",
" <td>21914</td>\n",
" <td>29</td>\n",
" <td>20</td>\n",
" <td>38</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1789</th>\n",
" <td>199109</td>\n",
" <td>7</td>\n",
" <td>13741</td>\n",
" <td>8780</td>\n",
" <td>18702</td>\n",
" <td>24</td>\n",
" <td>15</td>\n",
" <td>33</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1790</th>\n",
" <td>199108</td>\n",
" <td>7</td>\n",
" <td>13289</td>\n",
" <td>8813</td>\n",
" <td>17765</td>\n",
" <td>23</td>\n",
" <td>15</td>\n",
" <td>31</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1791</th>\n",
" <td>199107</td>\n",
" <td>7</td>\n",
" <td>12337</td>\n",
" <td>8077</td>\n",
" <td>16597</td>\n",
" <td>22</td>\n",
" <td>15</td>\n",
" <td>29</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1792</th>\n",
" <td>199106</td>\n",
" <td>7</td>\n",
" <td>10877</td>\n",
" <td>7013</td>\n",
" <td>14741</td>\n",
" <td>19</td>\n",
" <td>12</td>\n",
" <td>26</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1793</th>\n",
" <td>199105</td>\n",
" <td>7</td>\n",
" <td>10442</td>\n",
" <td>6544</td>\n",
" <td>14340</td>\n",
" <td>18</td>\n",
" <td>11</td>\n",
" <td>25</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1794</th>\n",
" <td>199104</td>\n",
" <td>7</td>\n",
" <td>7913</td>\n",
" <td>4563</td>\n",
" <td>11263</td>\n",
" <td>14</td>\n",
" <td>8</td>\n",
" <td>20</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1795</th>\n",
" <td>199103</td>\n",
" <td>7</td>\n",
" <td>15387</td>\n",
" <td>10484</td>\n",
" <td>20290</td>\n",
" <td>27</td>\n",
" <td>18</td>\n",
" <td>36</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1796</th>\n",
" <td>199102</td>\n",
" <td>7</td>\n",
" <td>16277</td>\n",
" <td>11046</td>\n",
" <td>21508</td>\n",
" <td>29</td>\n",
" <td>20</td>\n",
" <td>38</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1797</th>\n",
" <td>199101</td>\n",
" <td>7</td>\n",
" <td>15565</td>\n",
" <td>10271</td>\n",
" <td>20859</td>\n",
" <td>27</td>\n",
" <td>18</td>\n",
" <td>36</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1798</th>\n",
" <td>199052</td>\n",
" <td>7</td>\n",
" <td>19375</td>\n",
" <td>13295</td>\n",
" <td>25455</td>\n",
" <td>34</td>\n",
" <td>23</td>\n",
" <td>45</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1799</th>\n",
" <td>199051</td>\n",
" <td>7</td>\n",
" <td>19080</td>\n",
" <td>13807</td>\n",
" <td>24353</td>\n",
" <td>34</td>\n",
" <td>25</td>\n",
" <td>43</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1800</th>\n",
" <td>199050</td>\n",
" <td>7</td>\n",
" <td>11079</td>\n",
" <td>6660</td>\n",
" <td>15498</td>\n",
" <td>20</td>\n",
" <td>12</td>\n",
" <td>28</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1801</th>\n",
" <td>199049</td>\n",
" <td>7</td>\n",
" <td>1143</td>\n",
" <td>0</td>\n",
" <td>2610</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1802 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202524 7 4234 1856 6612 6 2 \n",
"1 202523 7 4858 2623 7093 7 4 \n",
"2 202522 7 6837 3940 9734 10 6 \n",
"3 202521 7 4693 2653 6733 7 4 \n",
"4 202520 7 3083 1535 4631 5 3 \n",
"5 202519 7 5084 1997 8171 8 3 \n",
"6 202518 7 5003 2718 7288 7 4 \n",
"7 202517 7 6246 3424 9068 9 5 \n",
"8 202516 7 6151 3193 9109 9 5 \n",
"9 202515 7 5557 3262 7852 8 5 \n",
"10 202514 7 4984 2858 7110 7 4 \n",
"11 202513 7 5964 3608 8320 9 5 \n",
"12 202512 7 3855 1995 5715 6 3 \n",
"13 202511 7 5878 2747 9009 9 4 \n",
"14 202510 7 2921 1421 4421 4 2 \n",
"15 202509 7 3381 1468 5294 5 2 \n",
"16 202508 7 2835 1286 4384 4 2 \n",
"17 202507 7 4502 2382 6622 7 4 \n",
"18 202506 7 3455 1958 4952 5 3 \n",
"19 202505 7 2087 1056 3118 3 1 \n",
"20 202504 7 6895 4466 9324 10 6 \n",
"21 202503 7 2462 1161 3763 4 2 \n",
"22 202502 7 5966 2757 9175 9 4 \n",
"23 202501 7 6059 2451 9667 9 4 \n",
"24 202452 7 4356 1776 6936 7 3 \n",
"25 202451 7 4670 2239 7101 7 3 \n",
"26 202450 7 7363 4438 10288 11 7 \n",
"27 202449 7 6077 3631 8523 9 5 \n",
"28 202448 7 4189 1454 6924 6 2 \n",
"29 202447 7 1931 726 3136 3 1 \n",
"... ... ... ... ... ... ... ... \n",
"1772 199126 7 17608 11304 23912 31 20 \n",
"1773 199125 7 16169 10700 21638 28 18 \n",
"1774 199124 7 16171 10071 22271 28 17 \n",
"1775 199123 7 11947 7671 16223 21 13 \n",
"1776 199122 7 15452 9953 20951 27 17 \n",
"1777 199121 7 14903 8975 20831 26 16 \n",
"1778 199120 7 19053 12742 25364 34 23 \n",
"1779 199119 7 16739 11246 22232 29 19 \n",
"1780 199118 7 21385 13882 28888 38 25 \n",
"1781 199117 7 13462 8877 18047 24 16 \n",
"1782 199116 7 14857 10068 19646 26 18 \n",
"1783 199115 7 13975 9781 18169 25 18 \n",
"1784 199114 7 12265 7684 16846 22 14 \n",
"1785 199113 7 9567 6041 13093 17 11 \n",
"1786 199112 7 10864 7331 14397 19 13 \n",
"1787 199111 7 15574 11184 19964 27 19 \n",
"1788 199110 7 16643 11372 21914 29 20 \n",
"1789 199109 7 13741 8780 18702 24 15 \n",
"1790 199108 7 13289 8813 17765 23 15 \n",
"1791 199107 7 12337 8077 16597 22 15 \n",
"1792 199106 7 10877 7013 14741 19 12 \n",
"1793 199105 7 10442 6544 14340 18 11 \n",
"1794 199104 7 7913 4563 11263 14 8 \n",
"1795 199103 7 15387 10484 20290 27 18 \n",
"1796 199102 7 16277 11046 21508 29 20 \n",
"1797 199101 7 15565 10271 20859 27 18 \n",
"1798 199052 7 19375 13295 25455 34 23 \n",
"1799 199051 7 19080 13807 24353 34 25 \n",
"1800 199050 7 11079 6660 15498 20 12 \n",
"1801 199049 7 1143 0 2610 2 0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 10 FR France \n",
"1 10 FR France \n",
"2 14 FR France \n",
"3 10 FR France \n",
"4 7 FR France \n",
"5 13 FR France \n",
"6 10 FR France \n",
"7 13 FR France \n",
"8 13 FR France \n",
"9 11 FR France \n",
"10 10 FR France \n",
"11 13 FR France \n",
"12 9 FR France \n",
"13 14 FR France \n",
"14 6 FR France \n",
"15 8 FR France \n",
"16 6 FR France \n",
"17 10 FR France \n",
"18 7 FR France \n",
"19 5 FR France \n",
"20 14 FR France \n",
"21 6 FR France \n",
"22 14 FR France \n",
"23 14 FR France \n",
"24 11 FR France \n",
"25 11 FR France \n",
"26 15 FR France \n",
"27 13 FR France \n",
"28 10 FR France \n",
"29 5 FR France \n",
"... ... ... ... \n",
"1772 42 FR France \n",
"1773 38 FR France \n",
"1774 39 FR France \n",
"1775 29 FR France \n",
"1776 37 FR France \n",
"1777 36 FR France \n",
"1778 45 FR France \n",
"1779 39 FR France \n",
"1780 51 FR France \n",
"1781 32 FR France \n",
"1782 34 FR France \n",
"1783 32 FR France \n",
"1784 30 FR France \n",
"1785 23 FR France \n",
"1786 25 FR France \n",
"1787 35 FR France \n",
"1788 38 FR France \n",
"1789 33 FR France \n",
"1790 31 FR France \n",
"1791 29 FR France \n",
"1792 26 FR France \n",
"1793 25 FR France \n",
"1794 20 FR France \n",
"1795 36 FR France \n",
"1796 38 FR France \n",
"1797 36 FR France \n",
"1798 45 FR France \n",
"1799 43 FR France \n",
"1800 28 FR France \n",
"1801 5 FR France \n",
"\n",
"[1802 rows x 10 columns]"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n",
"raw_data"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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" }\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",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Empty DataFrame\n",
"Columns: [week, indicator, inc, inc_low, inc_up, inc100, inc100_low, inc100_up, geo_insee, geo_name]\n",
"Index: []"
]
},
"execution_count": 13,
"metadata": {},
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}
],
"source": [
"raw_data[raw_data.isnull().any(axis=1)]"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
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"</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",
" <tr>\n",
" <th>period</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1990-12-03/1990-12-09</th>\n",
" <td>199049</td>\n",
" <td>7</td>\n",
" <td>1143</td>\n",
" <td>0</td>\n",
" <td>2610</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1990-12-10/1990-12-16</th>\n",
" <td>199050</td>\n",
" <td>7</td>\n",
" <td>11079</td>\n",
" <td>6660</td>\n",
" <td>15498</td>\n",
" <td>20</td>\n",
" <td>12</td>\n",
" <td>28</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1990-12-17/1990-12-23</th>\n",
" <td>199051</td>\n",
" <td>7</td>\n",
" <td>19080</td>\n",
" <td>13807</td>\n",
" <td>24353</td>\n",
" <td>34</td>\n",
" <td>25</td>\n",
" <td>43</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1990-12-24/1990-12-30</th>\n",
" <td>199052</td>\n",
" <td>7</td>\n",
" <td>19375</td>\n",
" <td>13295</td>\n",
" <td>25455</td>\n",
" <td>34</td>\n",
" <td>23</td>\n",
" <td>45</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1990-12-31/1991-01-06</th>\n",
" <td>199101</td>\n",
" <td>7</td>\n",
" <td>15565</td>\n",
" <td>10271</td>\n",
" <td>20859</td>\n",
" <td>27</td>\n",
" <td>18</td>\n",
" <td>36</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-01-07/1991-01-13</th>\n",
" <td>199102</td>\n",
" <td>7</td>\n",
" <td>16277</td>\n",
" <td>11046</td>\n",
" <td>21508</td>\n",
" <td>29</td>\n",
" <td>20</td>\n",
" <td>38</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-01-14/1991-01-20</th>\n",
" <td>199103</td>\n",
" <td>7</td>\n",
" <td>15387</td>\n",
" <td>10484</td>\n",
" <td>20290</td>\n",
" <td>27</td>\n",
" <td>18</td>\n",
" <td>36</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-01-21/1991-01-27</th>\n",
" <td>199104</td>\n",
" <td>7</td>\n",
" <td>7913</td>\n",
" <td>4563</td>\n",
" <td>11263</td>\n",
" <td>14</td>\n",
" <td>8</td>\n",
" <td>20</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-01-28/1991-02-03</th>\n",
" <td>199105</td>\n",
" <td>7</td>\n",
" <td>10442</td>\n",
" <td>6544</td>\n",
" <td>14340</td>\n",
" <td>18</td>\n",
" <td>11</td>\n",
" <td>25</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-02-04/1991-02-10</th>\n",
" <td>199106</td>\n",
" <td>7</td>\n",
" <td>10877</td>\n",
" <td>7013</td>\n",
" <td>14741</td>\n",
" <td>19</td>\n",
" <td>12</td>\n",
" <td>26</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-02-11/1991-02-17</th>\n",
" <td>199107</td>\n",
" <td>7</td>\n",
" <td>12337</td>\n",
" <td>8077</td>\n",
" <td>16597</td>\n",
" <td>22</td>\n",
" <td>15</td>\n",
" <td>29</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-02-18/1991-02-24</th>\n",
" <td>199108</td>\n",
" <td>7</td>\n",
" <td>13289</td>\n",
" <td>8813</td>\n",
" <td>17765</td>\n",
" <td>23</td>\n",
" <td>15</td>\n",
" <td>31</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-02-25/1991-03-03</th>\n",
" <td>199109</td>\n",
" <td>7</td>\n",
" <td>13741</td>\n",
" <td>8780</td>\n",
" <td>18702</td>\n",
" <td>24</td>\n",
" <td>15</td>\n",
" <td>33</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-03-04/1991-03-10</th>\n",
" <td>199110</td>\n",
" <td>7</td>\n",
" <td>16643</td>\n",
" <td>11372</td>\n",
" <td>21914</td>\n",
" <td>29</td>\n",
" <td>20</td>\n",
" <td>38</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-03-11/1991-03-17</th>\n",
" <td>199111</td>\n",
" <td>7</td>\n",
" <td>15574</td>\n",
" <td>11184</td>\n",
" <td>19964</td>\n",
" <td>27</td>\n",
" <td>19</td>\n",
" <td>35</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-03-18/1991-03-24</th>\n",
" <td>199112</td>\n",
" <td>7</td>\n",
" <td>10864</td>\n",
" <td>7331</td>\n",
" <td>14397</td>\n",
" <td>19</td>\n",
" <td>13</td>\n",
" <td>25</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-03-25/1991-03-31</th>\n",
" <td>199113</td>\n",
" <td>7</td>\n",
" <td>9567</td>\n",
" <td>6041</td>\n",
" <td>13093</td>\n",
" <td>17</td>\n",
" <td>11</td>\n",
" <td>23</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-04-01/1991-04-07</th>\n",
" <td>199114</td>\n",
" <td>7</td>\n",
" <td>12265</td>\n",
" <td>7684</td>\n",
" <td>16846</td>\n",
" <td>22</td>\n",
" <td>14</td>\n",
" <td>30</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-04-08/1991-04-14</th>\n",
" <td>199115</td>\n",
" <td>7</td>\n",
" <td>13975</td>\n",
" <td>9781</td>\n",
" <td>18169</td>\n",
" <td>25</td>\n",
" <td>18</td>\n",
" <td>32</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-04-15/1991-04-21</th>\n",
" <td>199116</td>\n",
" <td>7</td>\n",
" <td>14857</td>\n",
" <td>10068</td>\n",
" <td>19646</td>\n",
" <td>26</td>\n",
" <td>18</td>\n",
" <td>34</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-04-22/1991-04-28</th>\n",
" <td>199117</td>\n",
" <td>7</td>\n",
" <td>13462</td>\n",
" <td>8877</td>\n",
" <td>18047</td>\n",
" <td>24</td>\n",
" <td>16</td>\n",
" <td>32</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-04-29/1991-05-05</th>\n",
" <td>199118</td>\n",
" <td>7</td>\n",
" <td>21385</td>\n",
" <td>13882</td>\n",
" <td>28888</td>\n",
" <td>38</td>\n",
" <td>25</td>\n",
" <td>51</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-05-06/1991-05-12</th>\n",
" <td>199119</td>\n",
" <td>7</td>\n",
" <td>16739</td>\n",
" <td>11246</td>\n",
" <td>22232</td>\n",
" <td>29</td>\n",
" <td>19</td>\n",
" <td>39</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-05-13/1991-05-19</th>\n",
" <td>199120</td>\n",
" <td>7</td>\n",
" <td>19053</td>\n",
" <td>12742</td>\n",
" <td>25364</td>\n",
" <td>34</td>\n",
" <td>23</td>\n",
" <td>45</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-05-20/1991-05-26</th>\n",
" <td>199121</td>\n",
" <td>7</td>\n",
" <td>14903</td>\n",
" <td>8975</td>\n",
" <td>20831</td>\n",
" <td>26</td>\n",
" <td>16</td>\n",
" <td>36</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-05-27/1991-06-02</th>\n",
" <td>199122</td>\n",
" <td>7</td>\n",
" <td>15452</td>\n",
" <td>9953</td>\n",
" <td>20951</td>\n",
" <td>27</td>\n",
" <td>17</td>\n",
" <td>37</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-06-03/1991-06-09</th>\n",
" <td>199123</td>\n",
" <td>7</td>\n",
" <td>11947</td>\n",
" <td>7671</td>\n",
" <td>16223</td>\n",
" <td>21</td>\n",
" <td>13</td>\n",
" <td>29</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-06-10/1991-06-16</th>\n",
" <td>199124</td>\n",
" <td>7</td>\n",
" <td>16171</td>\n",
" <td>10071</td>\n",
" <td>22271</td>\n",
" <td>28</td>\n",
" <td>17</td>\n",
" <td>39</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-06-17/1991-06-23</th>\n",
" <td>199125</td>\n",
" <td>7</td>\n",
" <td>16169</td>\n",
" <td>10700</td>\n",
" <td>21638</td>\n",
" <td>28</td>\n",
" <td>18</td>\n",
" <td>38</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991-06-24/1991-06-30</th>\n",
" <td>199126</td>\n",
" <td>7</td>\n",
" <td>17608</td>\n",
" <td>11304</td>\n",
" <td>23912</td>\n",
" <td>31</td>\n",
" <td>20</td>\n",
" <td>42</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>2024-11-18/2024-11-24</th>\n",
" <td>202447</td>\n",
" <td>7</td>\n",
" <td>1931</td>\n",
" <td>726</td>\n",
" <td>3136</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2024-11-25/2024-12-01</th>\n",
" <td>202448</td>\n",
" <td>7</td>\n",
" <td>4189</td>\n",
" <td>1454</td>\n",
" <td>6924</td>\n",
" <td>6</td>\n",
" <td>2</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2024-12-02/2024-12-08</th>\n",
" <td>202449</td>\n",
" <td>7</td>\n",
" <td>6077</td>\n",
" <td>3631</td>\n",
" <td>8523</td>\n",
" <td>9</td>\n",
" <td>5</td>\n",
" <td>13</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2024-12-09/2024-12-15</th>\n",
" <td>202450</td>\n",
" <td>7</td>\n",
" <td>7363</td>\n",
" <td>4438</td>\n",
" <td>10288</td>\n",
" <td>11</td>\n",
" <td>7</td>\n",
" <td>15</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2024-12-16/2024-12-22</th>\n",
" <td>202451</td>\n",
" <td>7</td>\n",
" <td>4670</td>\n",
" <td>2239</td>\n",
" <td>7101</td>\n",
" <td>7</td>\n",
" <td>3</td>\n",
" <td>11</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2024-12-23/2024-12-29</th>\n",
" <td>202452</td>\n",
" <td>7</td>\n",
" <td>4356</td>\n",
" <td>1776</td>\n",
" <td>6936</td>\n",
" <td>7</td>\n",
" <td>3</td>\n",
" <td>11</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2024-12-30/2025-01-05</th>\n",
" <td>202501</td>\n",
" <td>7</td>\n",
" <td>6059</td>\n",
" <td>2451</td>\n",
" <td>9667</td>\n",
" <td>9</td>\n",
" <td>4</td>\n",
" <td>14</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-01-06/2025-01-12</th>\n",
" <td>202502</td>\n",
" <td>7</td>\n",
" <td>5966</td>\n",
" <td>2757</td>\n",
" <td>9175</td>\n",
" <td>9</td>\n",
" <td>4</td>\n",
" <td>14</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-01-13/2025-01-19</th>\n",
" <td>202503</td>\n",
" <td>7</td>\n",
" <td>2462</td>\n",
" <td>1161</td>\n",
" <td>3763</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>6</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-01-20/2025-01-26</th>\n",
" <td>202504</td>\n",
" <td>7</td>\n",
" <td>6895</td>\n",
" <td>4466</td>\n",
" <td>9324</td>\n",
" <td>10</td>\n",
" <td>6</td>\n",
" <td>14</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-01-27/2025-02-02</th>\n",
" <td>202505</td>\n",
" <td>7</td>\n",
" <td>2087</td>\n",
" <td>1056</td>\n",
" <td>3118</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-02-03/2025-02-09</th>\n",
" <td>202506</td>\n",
" <td>7</td>\n",
" <td>3455</td>\n",
" <td>1958</td>\n",
" <td>4952</td>\n",
" <td>5</td>\n",
" <td>3</td>\n",
" <td>7</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-02-10/2025-02-16</th>\n",
" <td>202507</td>\n",
" <td>7</td>\n",
" <td>4502</td>\n",
" <td>2382</td>\n",
" <td>6622</td>\n",
" <td>7</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-02-17/2025-02-23</th>\n",
" <td>202508</td>\n",
" <td>7</td>\n",
" <td>2835</td>\n",
" <td>1286</td>\n",
" <td>4384</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>6</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-02-24/2025-03-02</th>\n",
" <td>202509</td>\n",
" <td>7</td>\n",
" <td>3381</td>\n",
" <td>1468</td>\n",
" <td>5294</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>8</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-03-03/2025-03-09</th>\n",
" <td>202510</td>\n",
" <td>7</td>\n",
" <td>2921</td>\n",
" <td>1421</td>\n",
" <td>4421</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>6</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-03-10/2025-03-16</th>\n",
" <td>202511</td>\n",
" <td>7</td>\n",
" <td>5878</td>\n",
" <td>2747</td>\n",
" <td>9009</td>\n",
" <td>9</td>\n",
" <td>4</td>\n",
" <td>14</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-03-17/2025-03-23</th>\n",
" <td>202512</td>\n",
" <td>7</td>\n",
" <td>3855</td>\n",
" <td>1995</td>\n",
" <td>5715</td>\n",
" <td>6</td>\n",
" <td>3</td>\n",
" <td>9</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-03-24/2025-03-30</th>\n",
" <td>202513</td>\n",
" <td>7</td>\n",
" <td>5964</td>\n",
" <td>3608</td>\n",
" <td>8320</td>\n",
" <td>9</td>\n",
" <td>5</td>\n",
" <td>13</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-03-31/2025-04-06</th>\n",
" <td>202514</td>\n",
" <td>7</td>\n",
" <td>4984</td>\n",
" <td>2858</td>\n",
" <td>7110</td>\n",
" <td>7</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-04-07/2025-04-13</th>\n",
" <td>202515</td>\n",
" <td>7</td>\n",
" <td>5557</td>\n",
" <td>3262</td>\n",
" <td>7852</td>\n",
" <td>8</td>\n",
" <td>5</td>\n",
" <td>11</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-04-14/2025-04-20</th>\n",
" <td>202516</td>\n",
" <td>7</td>\n",
" <td>6151</td>\n",
" <td>3193</td>\n",
" <td>9109</td>\n",
" <td>9</td>\n",
" <td>5</td>\n",
" <td>13</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-04-21/2025-04-27</th>\n",
" <td>202517</td>\n",
" <td>7</td>\n",
" <td>6246</td>\n",
" <td>3424</td>\n",
" <td>9068</td>\n",
" <td>9</td>\n",
" <td>5</td>\n",
" <td>13</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-04-28/2025-05-04</th>\n",
" <td>202518</td>\n",
" <td>7</td>\n",
" <td>5003</td>\n",
" <td>2718</td>\n",
" <td>7288</td>\n",
" <td>7</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-05-05/2025-05-11</th>\n",
" <td>202519</td>\n",
" <td>7</td>\n",
" <td>5084</td>\n",
" <td>1997</td>\n",
" <td>8171</td>\n",
" <td>8</td>\n",
" <td>3</td>\n",
" <td>13</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-05-12/2025-05-18</th>\n",
" <td>202520</td>\n",
" <td>7</td>\n",
" <td>3083</td>\n",
" <td>1535</td>\n",
" <td>4631</td>\n",
" <td>5</td>\n",
" <td>3</td>\n",
" <td>7</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-05-19/2025-05-25</th>\n",
" <td>202521</td>\n",
" <td>7</td>\n",
" <td>4693</td>\n",
" <td>2653</td>\n",
" <td>6733</td>\n",
" <td>7</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-05-26/2025-06-01</th>\n",
" <td>202522</td>\n",
" <td>7</td>\n",
" <td>6837</td>\n",
" <td>3940</td>\n",
" <td>9734</td>\n",
" <td>10</td>\n",
" <td>6</td>\n",
" <td>14</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-06-02/2025-06-08</th>\n",
" <td>202523</td>\n",
" <td>7</td>\n",
" <td>4858</td>\n",
" <td>2623</td>\n",
" <td>7093</td>\n",
" <td>7</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2025-06-09/2025-06-15</th>\n",
" <td>202524</td>\n",
" <td>7</td>\n",
" <td>4234</td>\n",
" <td>1856</td>\n",
" <td>6612</td>\n",
" <td>6</td>\n",
" <td>2</td>\n",
" <td>10</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1802 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 \\\n",
"period \n",
"1990-12-03/1990-12-09 199049 7 1143 0 2610 2 \n",
"1990-12-10/1990-12-16 199050 7 11079 6660 15498 20 \n",
"1990-12-17/1990-12-23 199051 7 19080 13807 24353 34 \n",
"1990-12-24/1990-12-30 199052 7 19375 13295 25455 34 \n",
"1990-12-31/1991-01-06 199101 7 15565 10271 20859 27 \n",
"1991-01-07/1991-01-13 199102 7 16277 11046 21508 29 \n",
"1991-01-14/1991-01-20 199103 7 15387 10484 20290 27 \n",
"1991-01-21/1991-01-27 199104 7 7913 4563 11263 14 \n",
"1991-01-28/1991-02-03 199105 7 10442 6544 14340 18 \n",
"1991-02-04/1991-02-10 199106 7 10877 7013 14741 19 \n",
"1991-02-11/1991-02-17 199107 7 12337 8077 16597 22 \n",
"1991-02-18/1991-02-24 199108 7 13289 8813 17765 23 \n",
"1991-02-25/1991-03-03 199109 7 13741 8780 18702 24 \n",
"1991-03-04/1991-03-10 199110 7 16643 11372 21914 29 \n",
"1991-03-11/1991-03-17 199111 7 15574 11184 19964 27 \n",
"1991-03-18/1991-03-24 199112 7 10864 7331 14397 19 \n",
"1991-03-25/1991-03-31 199113 7 9567 6041 13093 17 \n",
"1991-04-01/1991-04-07 199114 7 12265 7684 16846 22 \n",
"1991-04-08/1991-04-14 199115 7 13975 9781 18169 25 \n",
"1991-04-15/1991-04-21 199116 7 14857 10068 19646 26 \n",
"1991-04-22/1991-04-28 199117 7 13462 8877 18047 24 \n",
"1991-04-29/1991-05-05 199118 7 21385 13882 28888 38 \n",
"1991-05-06/1991-05-12 199119 7 16739 11246 22232 29 \n",
"1991-05-13/1991-05-19 199120 7 19053 12742 25364 34 \n",
"1991-05-20/1991-05-26 199121 7 14903 8975 20831 26 \n",
"1991-05-27/1991-06-02 199122 7 15452 9953 20951 27 \n",
"1991-06-03/1991-06-09 199123 7 11947 7671 16223 21 \n",
"1991-06-10/1991-06-16 199124 7 16171 10071 22271 28 \n",
"1991-06-17/1991-06-23 199125 7 16169 10700 21638 28 \n",
"1991-06-24/1991-06-30 199126 7 17608 11304 23912 31 \n",
"... ... ... ... ... ... ... \n",
"2024-11-18/2024-11-24 202447 7 1931 726 3136 3 \n",
"2024-11-25/2024-12-01 202448 7 4189 1454 6924 6 \n",
"2024-12-02/2024-12-08 202449 7 6077 3631 8523 9 \n",
"2024-12-09/2024-12-15 202450 7 7363 4438 10288 11 \n",
"2024-12-16/2024-12-22 202451 7 4670 2239 7101 7 \n",
"2024-12-23/2024-12-29 202452 7 4356 1776 6936 7 \n",
"2024-12-30/2025-01-05 202501 7 6059 2451 9667 9 \n",
"2025-01-06/2025-01-12 202502 7 5966 2757 9175 9 \n",
"2025-01-13/2025-01-19 202503 7 2462 1161 3763 4 \n",
"2025-01-20/2025-01-26 202504 7 6895 4466 9324 10 \n",
"2025-01-27/2025-02-02 202505 7 2087 1056 3118 3 \n",
"2025-02-03/2025-02-09 202506 7 3455 1958 4952 5 \n",
"2025-02-10/2025-02-16 202507 7 4502 2382 6622 7 \n",
"2025-02-17/2025-02-23 202508 7 2835 1286 4384 4 \n",
"2025-02-24/2025-03-02 202509 7 3381 1468 5294 5 \n",
"2025-03-03/2025-03-09 202510 7 2921 1421 4421 4 \n",
"2025-03-10/2025-03-16 202511 7 5878 2747 9009 9 \n",
"2025-03-17/2025-03-23 202512 7 3855 1995 5715 6 \n",
"2025-03-24/2025-03-30 202513 7 5964 3608 8320 9 \n",
"2025-03-31/2025-04-06 202514 7 4984 2858 7110 7 \n",
"2025-04-07/2025-04-13 202515 7 5557 3262 7852 8 \n",
"2025-04-14/2025-04-20 202516 7 6151 3193 9109 9 \n",
"2025-04-21/2025-04-27 202517 7 6246 3424 9068 9 \n",
"2025-04-28/2025-05-04 202518 7 5003 2718 7288 7 \n",
"2025-05-05/2025-05-11 202519 7 5084 1997 8171 8 \n",
"2025-05-12/2025-05-18 202520 7 3083 1535 4631 5 \n",
"2025-05-19/2025-05-25 202521 7 4693 2653 6733 7 \n",
"2025-05-26/2025-06-01 202522 7 6837 3940 9734 10 \n",
"2025-06-02/2025-06-08 202523 7 4858 2623 7093 7 \n",
"2025-06-09/2025-06-15 202524 7 4234 1856 6612 6 \n",
"\n",
" inc100_low inc100_up geo_insee geo_name \n",
"period \n",
"1990-12-03/1990-12-09 0 5 FR France \n",
"1990-12-10/1990-12-16 12 28 FR France \n",
"1990-12-17/1990-12-23 25 43 FR France \n",
"1990-12-24/1990-12-30 23 45 FR France \n",
"1990-12-31/1991-01-06 18 36 FR France \n",
"1991-01-07/1991-01-13 20 38 FR France \n",
"1991-01-14/1991-01-20 18 36 FR France \n",
"1991-01-21/1991-01-27 8 20 FR France \n",
"1991-01-28/1991-02-03 11 25 FR France \n",
"1991-02-04/1991-02-10 12 26 FR France \n",
"1991-02-11/1991-02-17 15 29 FR France \n",
"1991-02-18/1991-02-24 15 31 FR France \n",
"1991-02-25/1991-03-03 15 33 FR France \n",
"1991-03-04/1991-03-10 20 38 FR France \n",
"1991-03-11/1991-03-17 19 35 FR France \n",
"1991-03-18/1991-03-24 13 25 FR France \n",
"1991-03-25/1991-03-31 11 23 FR France \n",
"1991-04-01/1991-04-07 14 30 FR France \n",
"1991-04-08/1991-04-14 18 32 FR France \n",
"1991-04-15/1991-04-21 18 34 FR France \n",
"1991-04-22/1991-04-28 16 32 FR France \n",
"1991-04-29/1991-05-05 25 51 FR France \n",
"1991-05-06/1991-05-12 19 39 FR France \n",
"1991-05-13/1991-05-19 23 45 FR France \n",
"1991-05-20/1991-05-26 16 36 FR France \n",
"1991-05-27/1991-06-02 17 37 FR France \n",
"1991-06-03/1991-06-09 13 29 FR France \n",
"1991-06-10/1991-06-16 17 39 FR France \n",
"1991-06-17/1991-06-23 18 38 FR France \n",
"1991-06-24/1991-06-30 20 42 FR France \n",
"... ... ... ... ... \n",
"2024-11-18/2024-11-24 1 5 FR France \n",
"2024-11-25/2024-12-01 2 10 FR France \n",
"2024-12-02/2024-12-08 5 13 FR France \n",
"2024-12-09/2024-12-15 7 15 FR France \n",
"2024-12-16/2024-12-22 3 11 FR France \n",
"2024-12-23/2024-12-29 3 11 FR France \n",
"2024-12-30/2025-01-05 4 14 FR France \n",
"2025-01-06/2025-01-12 4 14 FR France \n",
"2025-01-13/2025-01-19 2 6 FR France \n",
"2025-01-20/2025-01-26 6 14 FR France \n",
"2025-01-27/2025-02-02 1 5 FR France \n",
"2025-02-03/2025-02-09 3 7 FR France \n",
"2025-02-10/2025-02-16 4 10 FR France \n",
"2025-02-17/2025-02-23 2 6 FR France \n",
"2025-02-24/2025-03-02 2 8 FR France \n",
"2025-03-03/2025-03-09 2 6 FR France \n",
"2025-03-10/2025-03-16 4 14 FR France \n",
"2025-03-17/2025-03-23 3 9 FR France \n",
"2025-03-24/2025-03-30 5 13 FR France \n",
"2025-03-31/2025-04-06 4 10 FR France \n",
"2025-04-07/2025-04-13 5 11 FR France \n",
"2025-04-14/2025-04-20 5 13 FR France \n",
"2025-04-21/2025-04-27 5 13 FR France \n",
"2025-04-28/2025-05-04 4 10 FR France \n",
"2025-05-05/2025-05-11 3 13 FR France \n",
"2025-05-12/2025-05-18 3 7 FR France \n",
"2025-05-19/2025-05-25 4 10 FR France \n",
"2025-05-26/2025-06-01 6 14 FR France \n",
"2025-06-02/2025-06-08 4 10 FR France \n",
"2025-06-09/2025-06-15 2 10 FR France \n",
"\n",
"[1802 rows x 10 columns]"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def convert_week(year_and_week_int):\n",
" year_and_week_str = str(year_and_week_int)\n",
" year = int(year_and_week_str[:4])\n",
" week = int(year_and_week_str[4:])\n",
" w = isoweek.Week(year, week)\n",
" return pd.Period(w.day(0), 'W')\n",
"\n",
"raw_data['period'] = [convert_week(yw) for yw in raw_data['week']]\n",
"sorted_data = raw_data.set_index('period').sort_index()\n",
"sorted_data"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
" for y in range(1991,\n",
" sorted_data.index[-1].year)]"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"year = []\n",
"yearly_incidence = []\n",
"for week1, week2 in zip(first_august_week[:-1],\n",
" first_august_week[1:]):\n",
" one_year = sorted_data['inc'][week1:week2-1]\n",
" assert abs(len(one_year)-52) < 2\n",
" yearly_incidence.append(one_year.sum())\n",
" year.append(week2.year)\n",
"yearly_incidence = pd.Series(data=yearly_incidence, index=year)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fc05d7645c0>"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"yearly_incidence.plot(style='*')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
...
...
@@ -16,10 +2140,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.
3
"
"version": "3.6.
4
"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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