diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 14891bb768c2dd85ad7b57d62e46ea2849912e60..83659cae5c1cdee056c5a8d178212c66e885e92e 100644 --- a/module3/exo1/analyse-syndrome-grippal.ipynb +++ b/module3/exo1/analyse-syndrome-grippal.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -68,7 +68,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -90,12 +90,13 @@ "os contient des fonctions de gestions de fichier et du système d'exploitation'\n", "urllib.request contient des fonctions pour ouvrir des URL, authentification, redirection, cookies , etc.. selon\n", "https://docs.python.org/fr/3.11/library/urllib.request.html\n", - "urllib.request.urlretrieve télécharge la page url et l'enregistre vers le nom de fichier en 2 ème position" + "urllib.request.urlretrieve télécharge la page url et l'enregistre vers le nom de fichier en 2 ème position\n", + "Des messages consoles affichent l'état, déjà chargé ou non." ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -137,7 +138,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1102,7 +1103,7 @@ "[2056 rows x 10 columns]" ] }, - "execution_count": 10, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1121,8 +1122,97 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
18191989193-NaNNaN-NaNNaNFRFrance
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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low inc100_up \\\n", + "1819 198919 3 - NaN NaN - NaN NaN \n", + "\n", + " geo_insee geo_name \n", + "1819 FR France " + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_data[raw_data.isnull().any(axis=1)]" + ] + }, + { + "cell_type": "markdown", "metadata": {}, + "source": [ + "Nous éliminons ce point, ce qui n'a pas d'impact fort sur notre analyse qui est assez simple." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -1145,7 +1235,6 @@ " \n", " \n", " \n", - " Unnamed: 0\n", " week\n", " indicator\n", " inc\n", @@ -1161,1387 +1250,279 @@ " \n", " \n", " 0\n", - " 0\n", - " 202108\n", + " 202412\n", " 3\n", - " 27492\n", - " 22140.0\n", - " 32844.0\n", - " 42\n", - " 34.0\n", - " 50.0\n", + " 46315\n", + " 38805.0\n", + " 53825.0\n", + " 69\n", + " 58.0\n", + " 80.0\n", " FR\n", " France\n", " \n", " \n", " 1\n", - 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1896 rows × 11 columns

\n", - "" - ], - "text/plain": [ - " Unnamed: 0 week indicator inc inc_low inc_up inc100 \\\n", - "0 0 202108 3 27492 22140.0 32844.0 42 \n", - "1 1 202107 3 22191 18096.0 26286.0 34 \n", - "2 2 202106 3 23171 19122.0 27220.0 35 \n", - "3 3 202105 3 22426 18445.0 26407.0 34 \n", - "4 4 202104 3 25804 21491.0 30117.0 39 \n", - "5 5 202103 3 21810 17894.0 25726.0 33 \n", - "6 6 202102 3 17320 13906.0 20734.0 26 \n", - "7 7 202101 3 21799 17778.0 25820.0 33 \n", - "8 8 202053 3 21220 16498.0 25942.0 32 \n", - "9 9 202052 3 16428 12285.0 20571.0 25 \n", - "10 10 202051 3 21619 17370.0 25868.0 33 \n", - "11 11 202050 3 16845 13220.0 20470.0 26 \n", - "12 12 202049 3 12939 9923.0 15955.0 20 \n", - "13 13 202048 3 13804 10641.0 16967.0 21 \n", - "14 14 202047 3 19085 15285.0 22885.0 29 \n", - "15 15 202046 3 24801 20503.0 29099.0 38 \n", - "16 16 202045 3 42516 36857.0 48175.0 65 \n", - "17 17 202044 3 44567 38521.0 50613.0 68 \n", - "18 18 202043 3 43737 37523.0 49951.0 66 \n", - "19 19 202042 3 35145 29812.0 40478.0 53 \n", - "20 20 202041 3 27877 23206.0 32548.0 42 \n", - "21 21 202040 3 20443 16381.0 24505.0 31 \n", - "22 22 202039 3 19810 15900.0 23720.0 30 \n", - "23 23 202038 3 25562 21142.0 29982.0 39 \n", - "24 24 202037 3 18485 14649.0 22321.0 28 \n", - "25 25 202036 3 10390 7646.0 13134.0 16 \n", - "26 26 202035 3 9918 6842.0 12994.0 15 \n", - "27 27 202034 3 6084 3090.0 9078.0 9 \n", - "28 28 202033 3 6106 3411.0 8801.0 9 \n", - "29 29 202032 3 5918 3330.0 8506.0 9 \n", - "... ... ... ... ... ... ... ... \n", - "1866 1866 198521 3 26096 19621.0 32571.0 47 \n", - "1867 1867 198520 3 27896 20885.0 34907.0 51 \n", - "1868 1868 198519 3 43154 32821.0 53487.0 78 \n", - "1869 1869 198518 3 40555 29935.0 51175.0 74 \n", - "1870 1870 198517 3 34053 24366.0 43740.0 62 \n", - "1871 1871 198516 3 50362 36451.0 64273.0 91 \n", - "1872 1872 198515 3 63881 45538.0 82224.0 116 \n", - "1873 1873 198514 3 134545 114400.0 154690.0 244 \n", - "1874 1874 198513 3 197206 176080.0 218332.0 357 \n", - "1875 1875 198512 3 245240 223304.0 267176.0 445 \n", - "1876 1876 198511 3 276205 252399.0 300011.0 501 \n", - "1877 1877 198510 3 353231 326279.0 380183.0 640 \n", - "1878 1878 198509 3 369895 341109.0 398681.0 670 \n", - "1879 1879 198508 3 389886 359529.0 420243.0 707 \n", - "1880 1880 198507 3 471852 432599.0 511105.0 855 \n", - "1881 1881 198506 3 565825 518011.0 613639.0 1026 \n", - "1882 1882 198505 3 637302 592795.0 681809.0 1155 \n", - "1883 1883 198504 3 424937 390794.0 459080.0 770 \n", - "1884 1884 198503 3 213901 174689.0 253113.0 388 \n", - "1885 1885 198502 3 97586 80949.0 114223.0 177 \n", - "1886 1886 198501 3 85489 65918.0 105060.0 155 \n", - "1887 1887 198452 3 84830 60602.0 109058.0 154 \n", - "1888 1888 198451 3 101726 80242.0 123210.0 185 \n", - "1889 1889 198450 3 123680 101401.0 145959.0 225 \n", - "1890 1890 198449 3 101073 81684.0 120462.0 184 \n", - "1891 1891 198448 3 78620 60634.0 96606.0 143 \n", - "1892 1892 198447 3 72029 54274.0 89784.0 131 \n", - "1893 1893 198446 3 87330 67686.0 106974.0 159 \n", - "1894 1894 198445 3 135223 101414.0 169032.0 246 \n", - "1895 1895 198444 3 68422 20056.0 116788.0 125 \n", - "\n", - " inc100_low inc100_up geo_insee geo_name \n", - "0 34.0 50.0 FR France \n", - "1 28.0 40.0 FR France \n", - "2 29.0 41.0 FR France \n", - "3 28.0 40.0 FR France \n", - "4 32.0 46.0 FR France \n", - "5 27.0 39.0 FR France \n", - "6 21.0 31.0 FR France \n", - "7 27.0 39.0 FR France \n", - "8 25.0 39.0 FR France \n", - "9 19.0 31.0 FR France \n", - "10 27.0 39.0 FR France \n", - "11 20.0 32.0 FR France \n", - "12 15.0 25.0 FR France \n", - "13 16.0 26.0 FR France \n", - "14 23.0 35.0 FR France \n", - "15 31.0 45.0 FR France \n", - "16 56.0 74.0 FR France \n", - "17 59.0 77.0 FR France \n", - "18 57.0 75.0 FR France \n", - "19 45.0 61.0 FR France \n", - "20 35.0 49.0 FR France \n", - "21 25.0 37.0 FR France \n", - "22 24.0 36.0 FR France \n", - "23 32.0 46.0 FR France \n", - "24 22.0 34.0 FR France \n", - "25 12.0 20.0 FR France \n", - "26 10.0 20.0 FR France \n", - "27 4.0 14.0 FR France \n", - "28 5.0 13.0 FR France \n", - "29 5.0 13.0 FR France \n", - "... ... ... ... ... \n", - "1866 35.0 59.0 FR France \n", - "1867 38.0 64.0 FR France \n", - "1868 59.0 97.0 FR France \n", - "1869 55.0 93.0 FR France \n", - "1870 44.0 80.0 FR France \n", - "1871 66.0 116.0 FR France \n", - "1872 83.0 149.0 FR France \n", - "1873 207.0 281.0 FR France \n", - "1874 319.0 395.0 FR France \n", - "1875 405.0 485.0 FR France \n", - "1876 458.0 544.0 FR France \n", - "1877 591.0 689.0 FR France \n", - "1878 618.0 722.0 FR France \n", - "1879 652.0 762.0 FR France \n", - "1880 784.0 926.0 FR France \n", - "1881 939.0 1113.0 FR France \n", - "1882 1074.0 1236.0 FR France \n", - "1883 708.0 832.0 FR France \n", - "1884 317.0 459.0 FR France \n", - "1885 147.0 207.0 FR France \n", - "1886 120.0 190.0 FR France \n", - "1887 110.0 198.0 FR France \n", - "1888 146.0 224.0 FR France \n", - "1889 184.0 266.0 FR France \n", - "1890 149.0 219.0 FR France \n", - "1891 110.0 176.0 FR France \n", - "1892 99.0 163.0 FR France \n", - "1893 123.0 195.0 FR France \n", - "1894 184.0 308.0 FR France \n", - "1895 37.0 213.0 FR France \n", - "\n", - "[1896 rows x 11 columns]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "raw_data.to_csv('datatelecharge.csv',)\n", - "raw_data2 =pd.read_csv('datatelecharge.csv')\n", - "raw_data2" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
18181989193-NaNNaN-NaNNaNFRFrance
\n", - "
" - ], - "text/plain": [ - " week indicator inc inc_low inc_up inc100 inc100_low inc100_up \\\n", - "1818 198919 3 - NaN NaN - NaN NaN \n", - "\n", - " geo_insee geo_name \n", - "1818 FR France " - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "raw_data[raw_data.isnull().any(axis=1)]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Nous éliminons ce point, ce qui n'a pas d'impact fort sur notre analyse qui est assez simple." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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" \n", + " \n", " \n", " \n", " \n", @@ -2645,7 +1626,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2658,19 +1639,6 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", @@ -2684,7 +1652,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2697,7 +1665,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2710,7 +1678,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2723,7 +1691,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2736,7 +1704,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2749,7 +1717,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2762,7 +1730,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2775,7 +1743,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2788,7 +1756,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2801,7 +1769,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2814,7 +1782,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2827,7 +1795,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2840,7 +1808,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2853,7 +1821,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2866,7 +1834,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2879,7 +1847,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2892,7 +1860,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2905,7 +1873,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2918,7 +1886,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2931,7 +1899,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2944,7 +1912,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2957,7 +1925,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2970,7 +1938,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2983,7 +1951,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2996,7 +1964,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3009,7 +1977,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3022,7 +1990,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3035,7 +2003,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3048,7 +2016,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3061,7 +2029,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3075,140 +2043,140 @@ " \n", " \n", "
weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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120241036083553252.068418.09180.0102.0FRFrance
220240937112162920.079322.010795.0119.0FRFrance
3202408310456694520.0114612.0157142.0172.0FRFrance
42024073138078127050.0149106.0207190.0224.0FRFrance
52024063190062177955.0202169.0285267.0303.0FRFrance
62024053216237203595.0228879.0324305.0343.0FRFrance
72024043213196200547.0225845.0320301.0339.0FRFrance
82024033163457152276.0174638.0245228.0262.0FRFrance
92024023129436119453.0139419.0194179.0209.0FRFrance
102024013120769109452.0132086.0181164.0198.0FRFrance
112023523115446103738.0127154.0174156.0192.0FRFrance
122023513148755136546.0160964.0224206.0242.0FRFrance
132023503147971136787.0159155.0223206.0240.0FRFrance
142023493147552136422.0158682.0222205.0239.0FRFrance
152023483124204113479.0134929.0187171.0203.0FRFrance
162023473110910100658.0121162.0167152.0182.0FRFrance
1720234638385375096.092610.0126113.0139.0FRFrance
1820234537200363178.080828.010895.0121.0FRFrance
1920234434995242813.057091.07564.086.0FRFrance
20202343344982France
2122202342356842France
2223202341358357France
2324202340368894France
2425202339372003France
2526202338363218France
2627202337349085France
2728202336338247France
2829202335331695France
2920233432666321057.032269.04032.048.0FRFrance
............
20252026198521326096France
20262027198520327896France
20272028198519343154France
20282029198518340555France
20292030198517334053France
20302031198516350362France
20312032198515363881France
203220331985143134545France
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203520361985113276205France
203620371985103353231France
203720381985093369895France
203820391985083389886France
203920401985073471852France
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204120421985053637302France
204220431985043424937France
204320441985033213901France
20442045198502397586France
20452046198501385489France
20462047198452384830France
204720481984513101726France
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204920501984493101073France
20502051198448378620France
20512052198447372029France
20522053198446387330France
205320541984453135223France
20542055198444368422
\n", - "

2054 rows × 10 columns

\n", + "

2055 rows × 10 columns

\n", "
" ], "text/plain": [ " week indicator inc inc_low inc_up inc100 inc100_low \\\n", - "0 202411 3 54870 46604.0 63136.0 82 70.0 \n", - "1 202410 3 60835 53252.0 68418.0 91 80.0 \n", - "2 202409 3 71121 62920.0 79322.0 107 95.0 \n", - "3 202408 3 104566 94520.0 114612.0 157 142.0 \n", - "4 202407 3 138078 127050.0 149106.0 207 190.0 \n", - "5 202406 3 190062 177955.0 202169.0 285 267.0 \n", - "6 202405 3 216237 203595.0 228879.0 324 305.0 \n", - "7 202404 3 213196 200547.0 225845.0 320 301.0 \n", - "8 202403 3 163457 152276.0 174638.0 245 228.0 \n", - "9 202402 3 129436 119453.0 139419.0 194 179.0 \n", - "10 202401 3 120769 109452.0 132086.0 181 164.0 \n", - "11 202352 3 115446 103738.0 127154.0 174 156.0 \n", - "12 202351 3 148755 136546.0 160964.0 224 206.0 \n", - "13 202350 3 147971 136787.0 159155.0 223 206.0 \n", - "14 202349 3 147552 136422.0 158682.0 222 205.0 \n", - "15 202348 3 124204 113479.0 134929.0 187 171.0 \n", - "16 202347 3 110910 100658.0 121162.0 167 152.0 \n", - "17 202346 3 83853 75096.0 92610.0 126 113.0 \n", - "18 202345 3 72003 63178.0 80828.0 108 95.0 \n", - "19 202344 3 49952 42813.0 57091.0 75 64.0 \n", - "20 202343 3 44982 38170.0 51794.0 68 58.0 \n", - "21 202342 3 56842 49277.0 64407.0 86 75.0 \n", - "22 202341 3 58357 51032.0 65682.0 88 77.0 \n", - "23 202340 3 68894 60069.0 77719.0 104 91.0 \n", - "24 202339 3 72003 63452.0 80554.0 108 95.0 \n", - "25 202338 3 63218 55227.0 71209.0 95 83.0 \n", - "26 202337 3 49085 42079.0 56091.0 74 63.0 \n", - "27 202336 3 38247 32237.0 44257.0 58 49.0 \n", - "28 202335 3 31695 26013.0 37377.0 48 39.0 \n", - "29 202334 3 26663 21057.0 32269.0 40 32.0 \n", + "0 202412 3 46315 38805.0 53825.0 69 58.0 \n", + "1 202411 3 50466 43470.0 57462.0 76 66.0 \n", + "2 202410 3 60107 52623.0 67591.0 90 79.0 \n", + "3 202409 3 71121 62920.0 79322.0 107 95.0 \n", + "4 202408 3 104566 94520.0 114612.0 157 142.0 \n", + "5 202407 3 138078 127050.0 149106.0 207 190.0 \n", + "6 202406 3 190062 177955.0 202169.0 285 267.0 \n", + "7 202405 3 216237 203595.0 228879.0 324 305.0 \n", + "8 202404 3 213196 200547.0 225845.0 320 301.0 \n", + "9 202403 3 163457 152276.0 174638.0 245 228.0 \n", + "10 202402 3 129436 119453.0 139419.0 194 179.0 \n", + "11 202401 3 120769 109452.0 132086.0 181 164.0 \n", + "12 202352 3 115446 103738.0 127154.0 174 156.0 \n", + "13 202351 3 148755 136546.0 160964.0 224 206.0 \n", + "14 202350 3 147971 136787.0 159155.0 223 206.0 \n", + "15 202349 3 147552 136422.0 158682.0 222 205.0 \n", + "16 202348 3 124204 113479.0 134929.0 187 171.0 \n", + "17 202347 3 110948 100694.0 121202.0 167 152.0 \n", + "18 202346 3 83894 75134.0 92654.0 126 113.0 \n", + "19 202345 3 72003 63178.0 80828.0 108 95.0 \n", + "20 202344 3 49952 42813.0 57091.0 75 64.0 \n", + "21 202343 3 44982 38170.0 51794.0 68 58.0 \n", + "22 202342 3 56842 49277.0 64407.0 86 75.0 \n", + "23 202341 3 58357 51032.0 65682.0 88 77.0 \n", + "24 202340 3 68894 60069.0 77719.0 104 91.0 \n", + "25 202339 3 72003 63452.0 80554.0 108 95.0 \n", + "26 202338 3 63218 55227.0 71209.0 95 83.0 \n", + "27 202337 3 49085 42079.0 56091.0 74 63.0 \n", + "28 202336 3 38247 32237.0 44257.0 58 49.0 \n", + "29 202335 3 31695 26013.0 37377.0 48 39.0 \n", "... ... ... ... ... ... ... ... \n", - "2025 198521 3 26096 19621.0 32571.0 47 35.0 \n", - "2026 198520 3 27896 20885.0 34907.0 51 38.0 \n", - "2027 198519 3 43154 32821.0 53487.0 78 59.0 \n", - "2028 198518 3 40555 29935.0 51175.0 74 55.0 \n", - "2029 198517 3 34053 24366.0 43740.0 62 44.0 \n", - "2030 198516 3 50362 36451.0 64273.0 91 66.0 \n", - "2031 198515 3 63881 45538.0 82224.0 116 83.0 \n", - "2032 198514 3 134545 114400.0 154690.0 244 207.0 \n", - "2033 198513 3 197206 176080.0 218332.0 357 319.0 \n", - "2034 198512 3 245240 223304.0 267176.0 445 405.0 \n", - "2035 198511 3 276205 252399.0 300011.0 501 458.0 \n", - "2036 198510 3 353231 326279.0 380183.0 640 591.0 \n", - "2037 198509 3 369895 341109.0 398681.0 670 618.0 \n", - "2038 198508 3 389886 359529.0 420243.0 707 652.0 \n", - "2039 198507 3 471852 432599.0 511105.0 855 784.0 \n", - "2040 198506 3 565825 518011.0 613639.0 1026 939.0 \n", - "2041 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", - "2042 198504 3 424937 390794.0 459080.0 770 708.0 \n", - "2043 198503 3 213901 174689.0 253113.0 388 317.0 \n", - "2044 198502 3 97586 80949.0 114223.0 177 147.0 \n", - "2045 198501 3 85489 65918.0 105060.0 155 120.0 \n", - "2046 198452 3 84830 60602.0 109058.0 154 110.0 \n", - "2047 198451 3 101726 80242.0 123210.0 185 146.0 \n", - "2048 198450 3 123680 101401.0 145959.0 225 184.0 \n", - "2049 198449 3 101073 81684.0 120462.0 184 149.0 \n", - "2050 198448 3 78620 60634.0 96606.0 143 110.0 \n", - "2051 198447 3 72029 54274.0 89784.0 131 99.0 \n", - "2052 198446 3 87330 67686.0 106974.0 159 123.0 \n", - "2053 198445 3 135223 101414.0 169032.0 246 184.0 \n", - "2054 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "2026 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "2027 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "2028 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "2029 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "2030 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "2031 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "2032 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "2033 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "2034 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "2035 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "2036 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "2037 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "2038 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "2039 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "2040 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "2041 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "2042 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "2043 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "2044 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "2045 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "2046 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "2047 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "2048 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "2049 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "2050 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "2051 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "2052 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "2053 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "2054 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "2055 198444 3 68422 20056.0 116788.0 125 37.0 \n", "\n", " inc100_up geo_insee geo_name \n", - "0 94.0 FR France \n", - "1 102.0 FR France \n", - "2 119.0 FR France \n", - "3 172.0 FR France \n", - "4 224.0 FR France \n", - "5 303.0 FR France \n", - "6 343.0 FR France \n", - "7 339.0 FR France \n", - "8 262.0 FR France \n", - "9 209.0 FR France \n", - "10 198.0 FR France \n", - "11 192.0 FR France \n", - "12 242.0 FR France \n", - "13 240.0 FR France \n", - "14 239.0 FR France \n", - "15 203.0 FR France \n", - "16 182.0 FR France \n", - "17 139.0 FR France \n", - "18 121.0 FR France \n", - "19 86.0 FR France \n", - "20 78.0 FR France \n", - "21 97.0 FR France \n", - "22 99.0 FR France \n", - "23 117.0 FR France \n", - "24 121.0 FR France \n", - "25 107.0 FR France \n", - "26 85.0 FR France \n", - "27 67.0 FR France \n", - "28 57.0 FR France \n", - "29 48.0 FR France \n", + "0 80.0 FR France \n", + "1 86.0 FR France \n", + "2 101.0 FR France \n", + "3 119.0 FR France \n", + "4 172.0 FR France \n", + "5 224.0 FR France \n", + "6 303.0 FR France \n", + "7 343.0 FR France \n", + "8 339.0 FR France \n", + "9 262.0 FR France \n", + "10 209.0 FR France \n", + "11 198.0 FR France \n", + "12 192.0 FR France \n", + "13 242.0 FR France \n", + "14 240.0 FR France \n", + "15 239.0 FR France \n", + "16 203.0 FR France \n", + "17 182.0 FR France \n", + "18 139.0 FR France \n", + "19 121.0 FR France \n", + "20 86.0 FR France \n", + "21 78.0 FR France \n", + "22 97.0 FR France \n", + "23 99.0 FR France \n", + "24 117.0 FR France \n", + "25 121.0 FR France \n", + "26 107.0 FR France \n", + "27 85.0 FR France \n", + "28 67.0 FR France \n", + "29 57.0 FR France \n", "... ... ... ... \n", - "2025 59.0 FR France \n", - "2026 64.0 FR France \n", - "2027 97.0 FR France \n", - "2028 93.0 FR France \n", - "2029 80.0 FR France \n", - "2030 116.0 FR France \n", - "2031 149.0 FR France \n", - "2032 281.0 FR France \n", - "2033 395.0 FR France \n", - "2034 485.0 FR France \n", - "2035 544.0 FR France \n", - "2036 689.0 FR France \n", - "2037 722.0 FR France \n", - "2038 762.0 FR France \n", - "2039 926.0 FR France \n", - "2040 1113.0 FR France \n", - "2041 1236.0 FR France \n", - "2042 832.0 FR France \n", - "2043 459.0 FR France \n", - "2044 207.0 FR France \n", - "2045 190.0 FR France \n", - "2046 198.0 FR France \n", - "2047 224.0 FR France \n", - "2048 266.0 FR France \n", - "2049 219.0 FR France \n", - "2050 176.0 FR France \n", - "2051 163.0 FR France \n", - "2052 195.0 FR France \n", - "2053 308.0 FR France \n", - "2054 213.0 FR France \n", + "2026 59.0 FR France \n", + "2027 64.0 FR France \n", + "2028 97.0 FR France \n", + "2029 93.0 FR France \n", + "2030 80.0 FR France \n", + "2031 116.0 FR France \n", + "2032 149.0 FR France \n", + "2033 281.0 FR France \n", + "2034 395.0 FR France \n", + "2035 485.0 FR France \n", + "2036 544.0 FR France \n", + "2037 689.0 FR France \n", + "2038 722.0 FR France \n", + "2039 762.0 FR France \n", + "2040 926.0 FR France \n", + "2041 1113.0 FR France \n", + "2042 1236.0 FR France \n", + "2043 832.0 FR France \n", + "2044 459.0 FR France \n", + "2045 207.0 FR France \n", + "2046 190.0 FR France \n", + "2047 198.0 FR France \n", + "2048 224.0 FR France \n", + "2049 266.0 FR France \n", + "2050 219.0 FR France \n", + "2051 176.0 FR France \n", + "2052 163.0 FR France \n", + "2053 195.0 FR France \n", + "2054 308.0 FR France \n", + "2055 213.0 FR France \n", "\n", - "[2054 rows x 10 columns]" + "[2055 rows x 10 columns]" ] }, - "execution_count": 6, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -3234,7 +2202,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -3243,7 +2211,7 @@ "str" ] }, - "execution_count": 15, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -3272,7 +2240,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -3302,7 +2270,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -3327,7 +2295,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -3355,7 +2323,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -3378,22 +2346,22 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 19, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -3417,22 +2385,22 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 20, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -3477,7 +2445,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -3497,7 +2465,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -3521,16 +2489,16 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 23, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, @@ -3560,7 +2528,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -3607,7 +2575,7 @@ "dtype: int64" ] }, - "execution_count": 24, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -3626,16 +2594,16 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 25, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, @@ -3659,9 +2627,14 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, "outputs": [], "source": [] }