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module3/exo2/exercice.ipynb
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...@@ -14,11 +14,2062 @@ ...@@ -14,11 +14,2062 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": 9,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"data_url = \"https://ns.sentiweb.fr/incidence/csv-schema-v1.json\" " "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-7.csv\""
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
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"<div>\n",
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"\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
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" <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",
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" <th>geo_name</th>\n",
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" <tr>\n",
" <th>17</th>\n",
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" <th>19</th>\n",
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" <tr>\n",
" <th>20</th>\n",
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" <tr>\n",
" <th>21</th>\n",
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" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>22</th>\n",
" <td>202038</td>\n",
" <td>7</td>\n",
" <td>2253</td>\n",
" <td>782</td>\n",
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" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>23</th>\n",
" <td>202037</td>\n",
" <td>7</td>\n",
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" <td>2763</td>\n",
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" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
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" <td>7</td>\n",
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" <th>25</th>\n",
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" <td>0</td>\n",
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" <td>1</td>\n",
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" <td>2</td>\n",
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" <td>France</td>\n",
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" <td>7</td>\n",
" <td>2272</td>\n",
" <td>371</td>\n",
" <td>4173</td>\n",
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" <td>0</td>\n",
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" <th>27</th>\n",
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" <td>202032</td>\n",
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" <td>2506</td>\n",
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" <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>1566</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>1567</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>1568</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>1569</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>1570</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>1571</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>1572</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>1573</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>1574</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>1575</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>1576</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>1577 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202107 7 15273 11019 19527 23 17 \n",
"1 202106 7 13642 9914 17370 21 15 \n",
"2 202105 7 12210 8988 15432 18 13 \n",
"3 202104 7 12026 8826 15226 18 13 \n",
"4 202103 7 8913 6375 11451 13 9 \n",
"5 202102 7 7795 5430 10160 12 8 \n",
"6 202101 7 10525 7750 13300 16 12 \n",
"7 202053 7 11978 8406 15550 18 13 \n",
"8 202052 7 12012 8285 15739 18 12 \n",
"9 202051 7 10564 7574 13554 16 11 \n",
"10 202050 7 7063 4744 9382 11 7 \n",
"11 202049 7 5026 3145 6907 8 5 \n",
"12 202048 7 6683 4312 9054 10 6 \n",
"13 202047 7 4999 2963 7035 8 5 \n",
"14 202046 7 3752 1963 5541 6 3 \n",
"15 202045 7 3696 2016 5376 6 3 \n",
"16 202044 7 4391 2375 6407 7 4 \n",
"17 202043 7 4376 2505 6247 7 4 \n",
"18 202042 7 4000 1979 6021 6 3 \n",
"19 202041 7 3961 2099 5823 6 3 \n",
"20 202040 7 2078 675 3481 3 1 \n",
"21 202039 7 1049 237 1861 2 1 \n",
"22 202038 7 2253 782 3724 3 1 \n",
"23 202037 7 1584 405 2763 2 0 \n",
"24 202036 7 919 100 1738 1 0 \n",
"25 202035 7 828 0 1694 1 0 \n",
"26 202034 7 2272 371 4173 3 0 \n",
"27 202033 7 1284 177 2391 2 0 \n",
"28 202032 7 2650 689 4611 4 1 \n",
"29 202031 7 1303 100 2506 2 0 \n",
"... ... ... ... ... ... ... ... \n",
"1547 199126 7 17608 11304 23912 31 20 \n",
"1548 199125 7 16169 10700 21638 28 18 \n",
"1549 199124 7 16171 10071 22271 28 17 \n",
"1550 199123 7 11947 7671 16223 21 13 \n",
"1551 199122 7 15452 9953 20951 27 17 \n",
"1552 199121 7 14903 8975 20831 26 16 \n",
"1553 199120 7 19053 12742 25364 34 23 \n",
"1554 199119 7 16739 11246 22232 29 19 \n",
"1555 199118 7 21385 13882 28888 38 25 \n",
"1556 199117 7 13462 8877 18047 24 16 \n",
"1557 199116 7 14857 10068 19646 26 18 \n",
"1558 199115 7 13975 9781 18169 25 18 \n",
"1559 199114 7 12265 7684 16846 22 14 \n",
"1560 199113 7 9567 6041 13093 17 11 \n",
"1561 199112 7 10864 7331 14397 19 13 \n",
"1562 199111 7 15574 11184 19964 27 19 \n",
"1563 199110 7 16643 11372 21914 29 20 \n",
"1564 199109 7 13741 8780 18702 24 15 \n",
"1565 199108 7 13289 8813 17765 23 15 \n",
"1566 199107 7 12337 8077 16597 22 15 \n",
"1567 199106 7 10877 7013 14741 19 12 \n",
"1568 199105 7 10442 6544 14340 18 11 \n",
"1569 199104 7 7913 4563 11263 14 8 \n",
"1570 199103 7 15387 10484 20290 27 18 \n",
"1571 199102 7 16277 11046 21508 29 20 \n",
"1572 199101 7 15565 10271 20859 27 18 \n",
"1573 199052 7 19375 13295 25455 34 23 \n",
"1574 199051 7 19080 13807 24353 34 25 \n",
"1575 199050 7 11079 6660 15498 20 12 \n",
"1576 199049 7 1143 0 2610 2 0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 29 FR France \n",
"1 27 FR France \n",
"2 23 FR France \n",
"3 23 FR France \n",
"4 17 FR France \n",
"5 16 FR France \n",
"6 20 FR France \n",
"7 23 FR France \n",
"8 24 FR France \n",
"9 21 FR France \n",
"10 15 FR France \n",
"11 11 FR France \n",
"12 14 FR France \n",
"13 11 FR France \n",
"14 9 FR France \n",
"15 9 FR France \n",
"16 10 FR France \n",
"17 10 FR France \n",
"18 9 FR France \n",
"19 9 FR France \n",
"20 5 FR France \n",
"21 3 FR France \n",
"22 5 FR France \n",
"23 4 FR France \n",
"24 2 FR France \n",
"25 2 FR France \n",
"26 6 FR France \n",
"27 4 FR France \n",
"28 7 FR France \n",
"29 4 FR France \n",
"... ... ... ... \n",
"1547 42 FR France \n",
"1548 38 FR France \n",
"1549 39 FR France \n",
"1550 29 FR France \n",
"1551 37 FR France \n",
"1552 36 FR France \n",
"1553 45 FR France \n",
"1554 39 FR France \n",
"1555 51 FR France \n",
"1556 32 FR France \n",
"1557 34 FR France \n",
"1558 32 FR France \n",
"1559 30 FR France \n",
"1560 23 FR France \n",
"1561 25 FR France \n",
"1562 35 FR France \n",
"1563 38 FR France \n",
"1564 33 FR France \n",
"1565 31 FR France \n",
"1566 29 FR France \n",
"1567 26 FR France \n",
"1568 25 FR France \n",
"1569 20 FR France \n",
"1570 36 FR France \n",
"1571 38 FR France \n",
"1572 36 FR France \n",
"1573 45 FR France \n",
"1574 43 FR France \n",
"1575 28 FR France \n",
"1576 5 FR France \n",
"\n",
"[1577 rows x 10 columns]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n",
"raw_data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Y a t-il des points manquants dans ces données ?"
]
},
{
"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",
" </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": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"raw_data[raw_data.isnull().any(axis=1)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"La réponse est non, nous pouvons poursuivre"
]
},
{
"cell_type": "markdown",
"metadata": {
"hideCode": true
},
"source": [
"Les données utilisent toujours une convention inhabituelle, à savoir que le numéro de la semaine est collé à celui de l'année"
]
},
{
"cell_type": "markdown",
"metadata": {
"hideOutput": true
},
"source": [
"Pour aider Pandas il va falloir utiliser la bibliothèque Isoweek"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"La première étape est de convertir les dates (l'entier) en chaine de caractère. Je cherche la solution"
]
},
{
"cell_type": "code",
"execution_count": 15,
"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>202107</td>\n",
" <td>7</td>\n",
" <td>15273</td>\n",
" <td>11019</td>\n",
" <td>19527</td>\n",
" <td>23</td>\n",
" <td>17</td>\n",
" <td>29</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>202106</td>\n",
" <td>7</td>\n",
" <td>13642</td>\n",
" <td>9914</td>\n",
" <td>17370</td>\n",
" <td>21</td>\n",
" <td>15</td>\n",
" <td>27</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>202105</td>\n",
" <td>7</td>\n",
" <td>12210</td>\n",
" <td>8988</td>\n",
" <td>15432</td>\n",
" <td>18</td>\n",
" <td>13</td>\n",
" <td>23</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>202104</td>\n",
" <td>7</td>\n",
" <td>12026</td>\n",
" <td>8826</td>\n",
" <td>15226</td>\n",
" <td>18</td>\n",
" <td>13</td>\n",
" <td>23</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>202103</td>\n",
" <td>7</td>\n",
" <td>8913</td>\n",
" <td>6375</td>\n",
" <td>11451</td>\n",
" <td>13</td>\n",
" <td>9</td>\n",
" <td>17</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>202102</td>\n",
" <td>7</td>\n",
" <td>7795</td>\n",
" <td>5430</td>\n",
" <td>10160</td>\n",
" <td>12</td>\n",
" <td>8</td>\n",
" <td>16</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>202101</td>\n",
" <td>7</td>\n",
" <td>10525</td>\n",
" <td>7750</td>\n",
" <td>13300</td>\n",
" <td>16</td>\n",
" <td>12</td>\n",
" <td>20</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>202053</td>\n",
" <td>7</td>\n",
" <td>11978</td>\n",
" <td>8406</td>\n",
" <td>15550</td>\n",
" <td>18</td>\n",
" <td>13</td>\n",
" <td>23</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>202052</td>\n",
" <td>7</td>\n",
" <td>12012</td>\n",
" <td>8285</td>\n",
" <td>15739</td>\n",
" <td>18</td>\n",
" <td>12</td>\n",
" <td>24</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>202051</td>\n",
" <td>7</td>\n",
" <td>10564</td>\n",
" <td>7574</td>\n",
" <td>13554</td>\n",
" <td>16</td>\n",
" <td>11</td>\n",
" <td>21</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>202050</td>\n",
" <td>7</td>\n",
" <td>7063</td>\n",
" <td>4744</td>\n",
" <td>9382</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>11</th>\n",
" <td>202049</td>\n",
" <td>7</td>\n",
" <td>5026</td>\n",
" <td>3145</td>\n",
" <td>6907</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>12</th>\n",
" <td>202048</td>\n",
" <td>7</td>\n",
" <td>6683</td>\n",
" <td>4312</td>\n",
" <td>9054</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>13</th>\n",
" <td>202047</td>\n",
" <td>7</td>\n",
" <td>4999</td>\n",
" <td>2963</td>\n",
" <td>7035</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>14</th>\n",
" <td>202046</td>\n",
" <td>7</td>\n",
" <td>3752</td>\n",
" <td>1963</td>\n",
" <td>5541</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>15</th>\n",
" <td>202045</td>\n",
" <td>7</td>\n",
" <td>3696</td>\n",
" <td>2016</td>\n",
" <td>5376</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>16</th>\n",
" <td>202044</td>\n",
" <td>7</td>\n",
" <td>4391</td>\n",
" <td>2375</td>\n",
" <td>6407</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>17</th>\n",
" <td>202043</td>\n",
" <td>7</td>\n",
" <td>4376</td>\n",
" <td>2505</td>\n",
" <td>6247</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>202042</td>\n",
" <td>7</td>\n",
" <td>4000</td>\n",
" <td>1979</td>\n",
" <td>6021</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>19</th>\n",
" <td>202041</td>\n",
" <td>7</td>\n",
" <td>3961</td>\n",
" <td>2099</td>\n",
" <td>5823</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>20</th>\n",
" <td>202040</td>\n",
" <td>7</td>\n",
" <td>2078</td>\n",
" <td>675</td>\n",
" <td>3481</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>21</th>\n",
" <td>202039</td>\n",
" <td>7</td>\n",
" <td>1049</td>\n",
" <td>237</td>\n",
" <td>1861</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>202038</td>\n",
" <td>7</td>\n",
" <td>2253</td>\n",
" <td>782</td>\n",
" <td>3724</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>23</th>\n",
" <td>202037</td>\n",
" <td>7</td>\n",
" <td>1584</td>\n",
" <td>405</td>\n",
" <td>2763</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>202036</td>\n",
" <td>7</td>\n",
" <td>919</td>\n",
" <td>100</td>\n",
" <td>1738</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>202035</td>\n",
" <td>7</td>\n",
" <td>828</td>\n",
" <td>0</td>\n",
" <td>1694</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>202034</td>\n",
" <td>7</td>\n",
" <td>2272</td>\n",
" <td>371</td>\n",
" <td>4173</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>6</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>202033</td>\n",
" <td>7</td>\n",
" <td>1284</td>\n",
" <td>177</td>\n",
" <td>2391</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>202032</td>\n",
" <td>7</td>\n",
" <td>2650</td>\n",
" <td>689</td>\n",
" <td>4611</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>7</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>202031</td>\n",
" <td>7</td>\n",
" <td>1303</td>\n",
" <td>100</td>\n",
" <td>2506</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>4</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>1547</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>1548</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>1549</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>1550</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>1551</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>1552</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>1553</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>1554</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>1555</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>1556</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>1557</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>1558</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>1559</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>1560</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>1561</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>1562</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>1563</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>1564</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>1565</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>1566</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>1567</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>1568</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>1569</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>1570</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>1571</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>1572</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>1573</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>1574</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>1575</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>1576</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>1577 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202107 7 15273 11019 19527 23 17 \n",
"1 202106 7 13642 9914 17370 21 15 \n",
"2 202105 7 12210 8988 15432 18 13 \n",
"3 202104 7 12026 8826 15226 18 13 \n",
"4 202103 7 8913 6375 11451 13 9 \n",
"5 202102 7 7795 5430 10160 12 8 \n",
"6 202101 7 10525 7750 13300 16 12 \n",
"7 202053 7 11978 8406 15550 18 13 \n",
"8 202052 7 12012 8285 15739 18 12 \n",
"9 202051 7 10564 7574 13554 16 11 \n",
"10 202050 7 7063 4744 9382 11 7 \n",
"11 202049 7 5026 3145 6907 8 5 \n",
"12 202048 7 6683 4312 9054 10 6 \n",
"13 202047 7 4999 2963 7035 8 5 \n",
"14 202046 7 3752 1963 5541 6 3 \n",
"15 202045 7 3696 2016 5376 6 3 \n",
"16 202044 7 4391 2375 6407 7 4 \n",
"17 202043 7 4376 2505 6247 7 4 \n",
"18 202042 7 4000 1979 6021 6 3 \n",
"19 202041 7 3961 2099 5823 6 3 \n",
"20 202040 7 2078 675 3481 3 1 \n",
"21 202039 7 1049 237 1861 2 1 \n",
"22 202038 7 2253 782 3724 3 1 \n",
"23 202037 7 1584 405 2763 2 0 \n",
"24 202036 7 919 100 1738 1 0 \n",
"25 202035 7 828 0 1694 1 0 \n",
"26 202034 7 2272 371 4173 3 0 \n",
"27 202033 7 1284 177 2391 2 0 \n",
"28 202032 7 2650 689 4611 4 1 \n",
"29 202031 7 1303 100 2506 2 0 \n",
"... ... ... ... ... ... ... ... \n",
"1547 199126 7 17608 11304 23912 31 20 \n",
"1548 199125 7 16169 10700 21638 28 18 \n",
"1549 199124 7 16171 10071 22271 28 17 \n",
"1550 199123 7 11947 7671 16223 21 13 \n",
"1551 199122 7 15452 9953 20951 27 17 \n",
"1552 199121 7 14903 8975 20831 26 16 \n",
"1553 199120 7 19053 12742 25364 34 23 \n",
"1554 199119 7 16739 11246 22232 29 19 \n",
"1555 199118 7 21385 13882 28888 38 25 \n",
"1556 199117 7 13462 8877 18047 24 16 \n",
"1557 199116 7 14857 10068 19646 26 18 \n",
"1558 199115 7 13975 9781 18169 25 18 \n",
"1559 199114 7 12265 7684 16846 22 14 \n",
"1560 199113 7 9567 6041 13093 17 11 \n",
"1561 199112 7 10864 7331 14397 19 13 \n",
"1562 199111 7 15574 11184 19964 27 19 \n",
"1563 199110 7 16643 11372 21914 29 20 \n",
"1564 199109 7 13741 8780 18702 24 15 \n",
"1565 199108 7 13289 8813 17765 23 15 \n",
"1566 199107 7 12337 8077 16597 22 15 \n",
"1567 199106 7 10877 7013 14741 19 12 \n",
"1568 199105 7 10442 6544 14340 18 11 \n",
"1569 199104 7 7913 4563 11263 14 8 \n",
"1570 199103 7 15387 10484 20290 27 18 \n",
"1571 199102 7 16277 11046 21508 29 20 \n",
"1572 199101 7 15565 10271 20859 27 18 \n",
"1573 199052 7 19375 13295 25455 34 23 \n",
"1574 199051 7 19080 13807 24353 34 25 \n",
"1575 199050 7 11079 6660 15498 20 12 \n",
"1576 199049 7 1143 0 2610 2 0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 29 FR France \n",
"1 27 FR France \n",
"2 23 FR France \n",
"3 23 FR France \n",
"4 17 FR France \n",
"5 16 FR France \n",
"6 20 FR France \n",
"7 23 FR France \n",
"8 24 FR France \n",
"9 21 FR France \n",
"10 15 FR France \n",
"11 11 FR France \n",
"12 14 FR France \n",
"13 11 FR France \n",
"14 9 FR France \n",
"15 9 FR France \n",
"16 10 FR France \n",
"17 10 FR France \n",
"18 9 FR France \n",
"19 9 FR France \n",
"20 5 FR France \n",
"21 3 FR France \n",
"22 5 FR France \n",
"23 4 FR France \n",
"24 2 FR France \n",
"25 2 FR France \n",
"26 6 FR France \n",
"27 4 FR France \n",
"28 7 FR France \n",
"29 4 FR France \n",
"... ... ... ... \n",
"1547 42 FR France \n",
"1548 38 FR France \n",
"1549 39 FR France \n",
"1550 29 FR France \n",
"1551 37 FR France \n",
"1552 36 FR France \n",
"1553 45 FR France \n",
"1554 39 FR France \n",
"1555 51 FR France \n",
"1556 32 FR France \n",
"1557 34 FR France \n",
"1558 32 FR France \n",
"1559 30 FR France \n",
"1560 23 FR France \n",
"1561 25 FR France \n",
"1562 35 FR France \n",
"1563 38 FR France \n",
"1564 33 FR France \n",
"1565 31 FR France \n",
"1566 29 FR France \n",
"1567 26 FR France \n",
"1568 25 FR France \n",
"1569 20 FR France \n",
"1570 36 FR France \n",
"1571 38 FR France \n",
"1572 36 FR France \n",
"1573 45 FR France \n",
"1574 43 FR France \n",
"1575 28 FR France \n",
"1576 5 FR France \n",
"\n",
"[1577 rows x 10 columns]"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n",
"raw_data"
] ]
}, },
{ {
......
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