diff --git a/journal/logbook.md b/journal/logbook.md
index a6f01411956bf748156ae5444e1391718ceb993a..093a2654a40e09c9f95d762e0567c8bb27ed5fe9 100644
--- a/journal/logbook.md
+++ b/journal/logbook.md
@@ -8,3 +8,10 @@ je termine ce 1er module avec un grand plaisir.
Mon voeux est de *commencer le second module dès maintenant !!*
**Bonnes fêtes de noël à tous**
+
+## journée du 31 décembre 2020
+
+Nous arrivons à la fin de cette année 2020 qui restera dans l'histoire de notre fragilité mondiale.
+Il est temps de se bouger pour accompagner le changement climatique vers des temps plus sereins.
+
+__Bonne année à vous tous__
\ No newline at end of file
diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb
index 59d72b5b58a3ae26346460dd39e62a39c55243d7..45a2edb59bc469b1db8da069723de5cd87735d35 100644
--- a/module3/exo1/analyse-syndrome-grippal.ipynb
+++ b/module3/exo1/analyse-syndrome-grippal.ipynb
@@ -9,7 +9,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -23,15 +23,16 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Les données de l'incidence du syndrome grippal sont disponibles du site Web du [Réseau Sentinelles](http://www.sentiweb.fr/). Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée. Nous téléchargeons toujours le jeu de données complet, qui commence en 1984 et se termine avec une semaine récente."
+ "Les données de l'incidence du syndrome grippal ont été téléchargées sur le site Web du [Réseau Sentinelles](http://www.sentiweb.fr/)à la **date du 06 janvier 2021**.\n",
+ "Il faut passer par les menus \"Surveillance continue\" - \"Base de données\" - \"Accès aux données\"\n",
+ "et cliquer sur l'onglet \"Télécharger\", puis choisir les données au format CSV pour la France Métropolitaine.\n",
+ "Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée. Nous téléchargeons toujours le jeu de données complet, qui commence en 1985 et se termine avec une semaine récente."
]
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 2,
+ "metadata": {},
"outputs": [],
"source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
@@ -61,9 +62,976 @@
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+ "execution_count": 3,
"metadata": {},
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1887 rows × 10 columns
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+ " week indicator inc inc_low inc_up inc100 inc100_low \\\n",
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+ "1 202051 3 21619 17370.0 25868.0 33 27.0 \n",
+ "2 202050 3 16845 13220.0 20470.0 26 20.0 \n",
+ "3 202049 3 12939 9923.0 15955.0 20 15.0 \n",
+ "4 202048 3 13804 10641.0 16967.0 21 16.0 \n",
+ "5 202047 3 19085 15285.0 22885.0 29 23.0 \n",
+ "6 202046 3 24801 20503.0 29099.0 38 31.0 \n",
+ "7 202045 3 42516 36857.0 48175.0 65 56.0 \n",
+ "8 202044 3 44567 38521.0 50613.0 68 59.0 \n",
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+ "11 202041 3 27877 23206.0 32548.0 42 35.0 \n",
+ "12 202040 3 20443 16381.0 24505.0 31 25.0 \n",
+ "13 202039 3 19810 15900.0 23720.0 30 24.0 \n",
+ "14 202038 3 25562 21142.0 29982.0 39 32.0 \n",
+ "15 202037 3 18485 14649.0 22321.0 28 22.0 \n",
+ "16 202036 3 10390 7646.0 13134.0 16 12.0 \n",
+ "17 202035 3 9918 6842.0 12994.0 15 10.0 \n",
+ "18 202034 3 6084 3090.0 9078.0 9 4.0 \n",
+ "19 202033 3 6106 3411.0 8801.0 9 5.0 \n",
+ "20 202032 3 5918 3330.0 8506.0 9 5.0 \n",
+ "21 202031 3 4351 2269.0 6433.0 7 4.0 \n",
+ "22 202030 3 8179 5442.0 10916.0 12 8.0 \n",
+ "23 202029 3 8687 5860.0 11514.0 13 9.0 \n",
+ "24 202028 3 8340 5701.0 10979.0 13 9.0 \n",
+ "25 202027 3 4066 2406.0 5726.0 6 3.0 \n",
+ "26 202026 3 4039 2389.0 5689.0 6 3.0 \n",
+ "27 202025 3 2853 1488.0 4218.0 4 2.0 \n",
+ "28 202024 3 3058 1690.0 4426.0 5 3.0 \n",
+ "29 202023 3 4168 2468.0 5868.0 6 3.0 \n",
+ "... ... ... ... ... ... ... ... \n",
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+ "1867 198511 3 276205 252399.0 300011.0 501 458.0 \n",
+ "1868 198510 3 353231 326279.0 380183.0 640 591.0 \n",
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+ "\n",
+ " inc100_up geo_insee geo_name \n",
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+ "2 32.0 FR France \n",
+ "3 25.0 FR France \n",
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+ "\n",
+ "[1887 rows x 10 columns]"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
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"source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n",
"raw_data"
@@ -78,9 +1046,73 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"metadata": {},
- "outputs": [],
+ "outputs": [
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@@ -94,9 +1126,976 @@
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+ " 501 \n",
+ " 458.0 \n",
+ " 544.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1868 \n",
+ " 198510 \n",
+ " 3 \n",
+ " 353231 \n",
+ " 326279.0 \n",
+ " 380183.0 \n",
+ " 640 \n",
+ " 591.0 \n",
+ " 689.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1869 \n",
+ " 198509 \n",
+ " 3 \n",
+ " 369895 \n",
+ " 341109.0 \n",
+ " 398681.0 \n",
+ " 670 \n",
+ " 618.0 \n",
+ " 722.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1870 \n",
+ " 198508 \n",
+ " 3 \n",
+ " 389886 \n",
+ " 359529.0 \n",
+ " 420243.0 \n",
+ " 707 \n",
+ " 652.0 \n",
+ " 762.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1871 \n",
+ " 198507 \n",
+ " 3 \n",
+ " 471852 \n",
+ " 432599.0 \n",
+ " 511105.0 \n",
+ " 855 \n",
+ " 784.0 \n",
+ " 926.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1872 \n",
+ " 198506 \n",
+ " 3 \n",
+ " 565825 \n",
+ " 518011.0 \n",
+ " 613639.0 \n",
+ " 1026 \n",
+ " 939.0 \n",
+ " 1113.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1873 \n",
+ " 198505 \n",
+ " 3 \n",
+ " 637302 \n",
+ " 592795.0 \n",
+ " 681809.0 \n",
+ " 1155 \n",
+ " 1074.0 \n",
+ " 1236.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1874 \n",
+ " 198504 \n",
+ " 3 \n",
+ " 424937 \n",
+ " 390794.0 \n",
+ " 459080.0 \n",
+ " 770 \n",
+ " 708.0 \n",
+ " 832.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1875 \n",
+ " 198503 \n",
+ " 3 \n",
+ " 213901 \n",
+ " 174689.0 \n",
+ " 253113.0 \n",
+ " 388 \n",
+ " 317.0 \n",
+ " 459.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1876 \n",
+ " 198502 \n",
+ " 3 \n",
+ " 97586 \n",
+ " 80949.0 \n",
+ " 114223.0 \n",
+ " 177 \n",
+ " 147.0 \n",
+ " 207.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1877 \n",
+ " 198501 \n",
+ " 3 \n",
+ " 85489 \n",
+ " 65918.0 \n",
+ " 105060.0 \n",
+ " 155 \n",
+ " 120.0 \n",
+ " 190.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1878 \n",
+ " 198452 \n",
+ " 3 \n",
+ " 84830 \n",
+ " 60602.0 \n",
+ " 109058.0 \n",
+ " 154 \n",
+ " 110.0 \n",
+ " 198.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1879 \n",
+ " 198451 \n",
+ " 3 \n",
+ " 101726 \n",
+ " 80242.0 \n",
+ " 123210.0 \n",
+ " 185 \n",
+ " 146.0 \n",
+ " 224.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1880 \n",
+ " 198450 \n",
+ " 3 \n",
+ " 123680 \n",
+ " 101401.0 \n",
+ " 145959.0 \n",
+ " 225 \n",
+ " 184.0 \n",
+ " 266.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1881 \n",
+ " 198449 \n",
+ " 3 \n",
+ " 101073 \n",
+ " 81684.0 \n",
+ " 120462.0 \n",
+ " 184 \n",
+ " 149.0 \n",
+ " 219.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1882 \n",
+ " 198448 \n",
+ " 3 \n",
+ " 78620 \n",
+ " 60634.0 \n",
+ " 96606.0 \n",
+ " 143 \n",
+ " 110.0 \n",
+ " 176.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1883 \n",
+ " 198447 \n",
+ " 3 \n",
+ " 72029 \n",
+ " 54274.0 \n",
+ " 89784.0 \n",
+ " 131 \n",
+ " 99.0 \n",
+ " 163.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1884 \n",
+ " 198446 \n",
+ " 3 \n",
+ " 87330 \n",
+ " 67686.0 \n",
+ " 106974.0 \n",
+ " 159 \n",
+ " 123.0 \n",
+ " 195.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1885 \n",
+ " 198445 \n",
+ " 3 \n",
+ " 135223 \n",
+ " 101414.0 \n",
+ " 169032.0 \n",
+ " 246 \n",
+ " 184.0 \n",
+ " 308.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ " 1886 \n",
+ " 198444 \n",
+ " 3 \n",
+ " 68422 \n",
+ " 20056.0 \n",
+ " 116788.0 \n",
+ " 125 \n",
+ " 37.0 \n",
+ " 213.0 \n",
+ " FR \n",
+ " France \n",
+ " \n",
+ " \n",
+ "
\n",
+ "
1886 rows × 10 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " week indicator inc inc_low inc_up inc100 inc100_low \\\n",
+ "0 202052 3 18166 13646.0 22686.0 28 21.0 \n",
+ "1 202051 3 21619 17370.0 25868.0 33 27.0 \n",
+ "2 202050 3 16845 13220.0 20470.0 26 20.0 \n",
+ "3 202049 3 12939 9923.0 15955.0 20 15.0 \n",
+ "4 202048 3 13804 10641.0 16967.0 21 16.0 \n",
+ "5 202047 3 19085 15285.0 22885.0 29 23.0 \n",
+ "6 202046 3 24801 20503.0 29099.0 38 31.0 \n",
+ "7 202045 3 42516 36857.0 48175.0 65 56.0 \n",
+ "8 202044 3 44567 38521.0 50613.0 68 59.0 \n",
+ "9 202043 3 43737 37523.0 49951.0 66 57.0 \n",
+ "10 202042 3 35145 29812.0 40478.0 53 45.0 \n",
+ "11 202041 3 27877 23206.0 32548.0 42 35.0 \n",
+ "12 202040 3 20443 16381.0 24505.0 31 25.0 \n",
+ "13 202039 3 19810 15900.0 23720.0 30 24.0 \n",
+ "14 202038 3 25562 21142.0 29982.0 39 32.0 \n",
+ "15 202037 3 18485 14649.0 22321.0 28 22.0 \n",
+ "16 202036 3 10390 7646.0 13134.0 16 12.0 \n",
+ "17 202035 3 9918 6842.0 12994.0 15 10.0 \n",
+ "18 202034 3 6084 3090.0 9078.0 9 4.0 \n",
+ "19 202033 3 6106 3411.0 8801.0 9 5.0 \n",
+ "20 202032 3 5918 3330.0 8506.0 9 5.0 \n",
+ "21 202031 3 4351 2269.0 6433.0 7 4.0 \n",
+ "22 202030 3 8179 5442.0 10916.0 12 8.0 \n",
+ "23 202029 3 8687 5860.0 11514.0 13 9.0 \n",
+ "24 202028 3 8340 5701.0 10979.0 13 9.0 \n",
+ "25 202027 3 4066 2406.0 5726.0 6 3.0 \n",
+ "26 202026 3 4039 2389.0 5689.0 6 3.0 \n",
+ "27 202025 3 2853 1488.0 4218.0 4 2.0 \n",
+ "28 202024 3 3058 1690.0 4426.0 5 3.0 \n",
+ "29 202023 3 4168 2468.0 5868.0 6 3.0 \n",
+ "... ... ... ... ... ... ... ... \n",
+ "1857 198521 3 26096 19621.0 32571.0 47 35.0 \n",
+ "1858 198520 3 27896 20885.0 34907.0 51 38.0 \n",
+ "1859 198519 3 43154 32821.0 53487.0 78 59.0 \n",
+ "1860 198518 3 40555 29935.0 51175.0 74 55.0 \n",
+ "1861 198517 3 34053 24366.0 43740.0 62 44.0 \n",
+ "1862 198516 3 50362 36451.0 64273.0 91 66.0 \n",
+ "1863 198515 3 63881 45538.0 82224.0 116 83.0 \n",
+ "1864 198514 3 134545 114400.0 154690.0 244 207.0 \n",
+ "1865 198513 3 197206 176080.0 218332.0 357 319.0 \n",
+ "1866 198512 3 245240 223304.0 267176.0 445 405.0 \n",
+ "1867 198511 3 276205 252399.0 300011.0 501 458.0 \n",
+ "1868 198510 3 353231 326279.0 380183.0 640 591.0 \n",
+ "1869 198509 3 369895 341109.0 398681.0 670 618.0 \n",
+ "1870 198508 3 389886 359529.0 420243.0 707 652.0 \n",
+ "1871 198507 3 471852 432599.0 511105.0 855 784.0 \n",
+ "1872 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
+ "1873 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
+ "1874 198504 3 424937 390794.0 459080.0 770 708.0 \n",
+ "1875 198503 3 213901 174689.0 253113.0 388 317.0 \n",
+ "1876 198502 3 97586 80949.0 114223.0 177 147.0 \n",
+ "1877 198501 3 85489 65918.0 105060.0 155 120.0 \n",
+ "1878 198452 3 84830 60602.0 109058.0 154 110.0 \n",
+ "1879 198451 3 101726 80242.0 123210.0 185 146.0 \n",
+ "1880 198450 3 123680 101401.0 145959.0 225 184.0 \n",
+ "1881 198449 3 101073 81684.0 120462.0 184 149.0 \n",
+ "1882 198448 3 78620 60634.0 96606.0 143 110.0 \n",
+ "1883 198447 3 72029 54274.0 89784.0 131 99.0 \n",
+ "1884 198446 3 87330 67686.0 106974.0 159 123.0 \n",
+ "1885 198445 3 135223 101414.0 169032.0 246 184.0 \n",
+ "1886 198444 3 68422 20056.0 116788.0 125 37.0 \n",
+ "\n",
+ " inc100_up geo_insee geo_name \n",
+ "0 35.0 FR France \n",
+ "1 39.0 FR France \n",
+ "2 32.0 FR France \n",
+ "3 25.0 FR France \n",
+ "4 26.0 FR France \n",
+ "5 35.0 FR France \n",
+ "6 45.0 FR France \n",
+ "7 74.0 FR France \n",
+ "8 77.0 FR France \n",
+ "9 75.0 FR France \n",
+ "10 61.0 FR France \n",
+ "11 49.0 FR France \n",
+ "12 37.0 FR France \n",
+ "13 36.0 FR France \n",
+ "14 46.0 FR France \n",
+ "15 34.0 FR France \n",
+ "16 20.0 FR France \n",
+ "17 20.0 FR France \n",
+ "18 14.0 FR France \n",
+ "19 13.0 FR France \n",
+ "20 13.0 FR France \n",
+ "21 10.0 FR France \n",
+ "22 16.0 FR France \n",
+ "23 17.0 FR France \n",
+ "24 17.0 FR France \n",
+ "25 9.0 FR France \n",
+ "26 9.0 FR France \n",
+ "27 6.0 FR France \n",
+ "28 7.0 FR France \n",
+ "29 9.0 FR France \n",
+ "... ... ... ... \n",
+ "1857 59.0 FR France \n",
+ "1858 64.0 FR France \n",
+ "1859 97.0 FR France \n",
+ "1860 93.0 FR France \n",
+ "1861 80.0 FR France \n",
+ "1862 116.0 FR France \n",
+ "1863 149.0 FR France \n",
+ "1864 281.0 FR France \n",
+ "1865 395.0 FR France \n",
+ "1866 485.0 FR France \n",
+ "1867 544.0 FR France \n",
+ "1868 689.0 FR France \n",
+ "1869 722.0 FR France \n",
+ "1870 762.0 FR France \n",
+ "1871 926.0 FR France \n",
+ "1872 1113.0 FR France \n",
+ "1873 1236.0 FR France \n",
+ "1874 832.0 FR France \n",
+ "1875 459.0 FR France \n",
+ "1876 207.0 FR France \n",
+ "1877 190.0 FR France \n",
+ "1878 198.0 FR France \n",
+ "1879 224.0 FR France \n",
+ "1880 266.0 FR France \n",
+ "1881 219.0 FR France \n",
+ "1882 176.0 FR France \n",
+ "1883 163.0 FR France \n",
+ "1884 195.0 FR France \n",
+ "1885 308.0 FR France \n",
+ "1886 213.0 FR France \n",
+ "\n",
+ "[1886 rows x 10 columns]"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"data = raw_data.dropna().copy()\n",
"data"
@@ -122,7 +2121,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@@ -152,10 +2151,8 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 7,
+ "metadata": {},
"outputs": [],
"source": [
"sorted_data = data.set_index('period').sort_index()"
@@ -179,9 +2176,17 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 8,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "1989-05-01/1989-05-07 1989-05-15/1989-05-21\n"
+ ]
+ }
+ ],
"source": [
"periods = sorted_data.index\n",
"for p1, p2 in zip(periods[:-1], periods[1:]):\n",
@@ -199,9 +2204,32 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 9,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
"sorted_data['inc'].plot()"
]
@@ -215,9 +2243,32 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 10,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
"sorted_data['inc'][-200:].plot()"
]
@@ -252,10 +2303,8 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 11,
+ "metadata": {},
"outputs": [],
"source": [
"first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
@@ -274,7 +2323,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
@@ -298,9 +2347,32 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 13,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
"yearly_incidence.plot(style='*')"
]
@@ -314,9 +2386,54 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 14,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "2014 1600941\n",
+ "1991 1659249\n",
+ "1995 1840410\n",
+ "2012 2175217\n",
+ "2003 2234584\n",
+ "2019 2254386\n",
+ "2006 2307352\n",
+ "2017 2321583\n",
+ "2001 2529279\n",
+ "1992 2574578\n",
+ "1993 2703886\n",
+ "2018 2705325\n",
+ "1988 2765617\n",
+ "2007 2780164\n",
+ "1987 2855570\n",
+ "2016 2856393\n",
+ "2011 2857040\n",
+ "2008 2973918\n",
+ "1998 3034904\n",
+ "2002 3125418\n",
+ "2009 3444020\n",
+ "1994 3514763\n",
+ "1996 3539413\n",
+ "2004 3567744\n",
+ "1997 3620066\n",
+ "2015 3654892\n",
+ "2000 3826372\n",
+ "2005 3835025\n",
+ "1999 3908112\n",
+ "2010 4111392\n",
+ "2013 4182691\n",
+ "1986 5115251\n",
+ "1990 5235827\n",
+ "1989 5466192\n",
+ "dtype: int64"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"yearly_incidence.sort_values()"
]
@@ -331,9 +2448,32 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 15,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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d+cp0xdwBPK3t/qHAnb2NY2Zm3SpT2K8HDpf0DEl7A68D/rE/sczMrKqOu2IiYo+kdwJfAZYAn4mIm7uY94LdNTVqcjZodj5nq67J+ZytukXP1/HBUzMze2LwladmZplxYTczy4wLu5lZZp6QhV3Sakmr684xG0nPlPQeSSfUnWWmJmeDZudztuqanK/J2aB6vidUYZe0RtLVwBXAxyW9pO5M7ST9R+BrpO/SeZukt9cc6ReanA2anc/ZqmtyviZngy7zRUSj/4B9226/FvhEcfvNwD8AQ8V91ZDtBOAZ0/MHPgCcVtx/EfAlYLiOfE3O1vR8zpZnviZn63W+Rm6xSzpA0l9JuhX4hKTDikG/A/youD0G/BA4Y/ppi5jvKEnfA/4b8FlJJ0Rq7aOAQwAi4jrgm8BbFjNfk7M1PZ+z5Zmvydn6la+RhR04EdiXtGCPAB+QtJy0W/JqgIh4GLgYeElx/7F+hZF0qKQD2h46BbgkIl5K+oB5g6TDgQun8xUuA46WtE+/8jU5W9PzOVue+ZqcbbHy1VbYlSyV9FZJX5d0lqRnFYOfDTwSEXuAPwN+CpwGfBV4iqRfK8a7FfixpOP6lPFISV8GvgF8WNL01xT/P2C/4vYXgbuAdaRP1Ce37WHcR/p2y+f9KmVrej5nyzNfk7Mtdr7aCnuxq/GbwJuAjwH7AH9TDL4LuLv4ZPoxaWGeRWqA7/P41wIvA+4tHu8JSSva7j4fuCMi1gBXAp8oHr8PeFjS/hFxH/CvwFOLHN8E3luMtzfwc2B77tmans/Z8szX5Gx15lu0wi7pOEkflXR6cV/AkcAVEfGliPgYcJikFwM7SJ9gRxZP3wYMFI/9BfAqSa8mfSgMAt/tMtuTJJ0v6Xpgo6SDinxDwLWSFBH/CNwvaR1pT2H/YjjF/YOBx0h7GAdL+hvgImBPRNydY7am53O26pqcr8nZmpJvUQq7pOcAfwk8APyepPcW814NPFAsNMD5wBtIhXoP8OLi8RtIR4wfiohrgA3A6cDxwH+PiMfaplHFS4v5vYp0UOJs4ADSl50dUuxdAFxQ5Pt2sSyvBIiIbxXTWBoR24AzgZuB/xkRb6E7Tc7W9HzOlme+JmdrRr65Tpep+kfasj6DtNuxtHjsT4Gzitst4JPAycDLga+0PfdppF0VSIX8RtKvMB0D/G/gKW3jlj4dqWjYM4GrSd05q4rHvwi8u7j9DGBjMfxYUn/YkrZl+0kxndWkPYl3Ap8FPgWs6KLdGput6fmcza+r2+7f//V0i13S80kHOH8b+CDwvmLQDtJvpkL65LkW+F3gn4FDJD1X0rJI/ek7JL0kIq4kfd3lR4FLgYsi4t+m5xVFy5R0EvAa4EPAcaS+fUhn20zvHfwY+Drwyoi4nvSJO1LMcwq4Djg2InYAbyR1Bd0FvC8iHiwbqG1P49VNyzaD266axrUbuO26yfZEaLsyP433SyS9EDgc+GpE/IS0NX5rRJwu6QXAOZJawDjwnyTtFxEPSfou8HukczQvBP4A+KSk3cAkcHsxi78CLoyIXSUyKSJC0rGk3ZyvA1sinR7568BtEXGlpNtJV6++AtgK/I6kVRFxj6R/BR6U9HTgz4HTJB1M+tWoe0m7TkTEBDBRod1apL2aB4CPA3cDz6w7m9uuWrYnQru57fJru/mU2mJXskzSmyTdSOrYPxCYLrw/B7YXW983kHYtjgMe4vFTeAAeJe2CHELaKr+J1L9+NXBPRNwBaau8YlF/KfAZ0lHllwMfKUZ5DLhV0vKIuL3I91zSi3Un6XzS6eVYQmqfS4qMpwJrgc1R8RxXSSslfbaY5u3AuRFxt6S9SJ/kdWZbUrTdb5J2BRvTdsV6NyDpfBrWdsU8Q9IwzVzn9pG0oqFtd0DD225A0r6SLqBhbbegTvprgBXAi4vbBxbBPjnLeGeRLoNdXdw/mdSffhjpKwCuLh7fl9QNs6rtuccAe3eSZ8Y89wPexuNb/suAPwLeUQx/EvC9YvqnkPq71hTDTiqWZVVxexJYSerf/3J7HmCvLrJdRLpibIDUtXRm2zjTxyHeCfyPxcrW9rqeQVrZ1pMO8DSl7aazXVqsVwc1rO32B7aQfkkM4D1NaLcZ+b4M/HVx/2PA2+puO9J74s2k9/8lTWu7tnxXAn9fPNaY9a7TvwW32CWdDdwGbJE0GBH3k/qF7iz6xl+jxy8Q+hbpAOj0hUbXkg6iPhQRFwA/lfQ50kHRW4Bf9CFFxI0R8chCeWZkOwS4HBgGPkc6QPFa0l7CnmK6PyUdeH03qe/rYB4/jfIa0rn0j0TE5cCnSVeznkc6Yv1oW75Sn6ozsv0d8PYi263AEZI2FltRv690wdUVpD2Yvmcr8q0gvblOIF0/8ArScY9jSVtKdbZde7bNpLMFXku6huE36m67wnLStRfPkrSKtM4vKaZZS7vNkm9v0rr2VFIXx9GSPlJX20laRjrGdjLw8Yj43WLQMW3TrK3tZuT7WERMb3FPAkfV2XaldfAJNkzavfhb4D3FY8eSitYdRfALgU3FsHOAD7c9/3rgmOL2PqRTgI7txacSaeV9Udv900lbJm8Gvt32+FOBO4vb7yBdtvuk4vlfAp7eNu6qPmV7E+lI968Df1/8vR74X6Rz+RctW9v0Dmy7/Z9Jb6ZT6267WbL9MemUsWc2qO3eTOprfT/wVtKBtOvrbrdZ8r2PtMezqgltR9oDO3XGY6cA1zWh7ebI9/QiQ+3rXcfL0cGCTp+acwowXtxeRtqaWlncP4y0tX4saRfwYtKW1j+RPqn26Uv41Mcl+MVvt76Ax7t77iWdMzo97tcoCi1p9+mrxTh/skjZjgG+Mb3ito23jHRw+YTi/jn9zjYj5wGk4xs7gQ8X9+8FButqu1my3VXMdwVFN19dbdf2er6F1M32WuALxWP31N1uc+QbKx5rP124lvWO1EVxK7CpmP8HivpxH3BwA9a59nxXkb6Y69C617vSy1FigZ9MulDoOcX9pTOGnw+cPL0CkboezqRPRX2OlfkCHj9f/nPAR4vbv0ba43h62wtzNG1fCbxI2d7R/lhx+5Ci7Z672NnaMvwh6XzbzaR+7W8WbzjV2XYzsp1HOq3s2U1oO9JXRi8h9aFeTdoyvgl4f93r3Cz5/pl0htkLGtJ2XyHtgT2NtBV8FmnDsCnrXHu+L5Au/T+8CW3X6d900emIpE8BP4uIDcX9vUjnXb4DeA5wSpTsJ+8VSYeS+rTeFRG3Kn2h2GiRazXwnejNVWXdZHt7RNxWPHYMqVtqXZHtD+vI1k7pOoQzSW+yI0kr66HU2HZt2Y4mvdn+nHSW1UnU1HaSBkjdHPuQ2uk3SBeenE3aUj6cGtttlnyHk45P/BbpmNfLSO1Xy3qn4rTn4vbzSO/Ta0mX1Ne+zs3IdzTpSvdzSd80W9t6V0bZ89g3A+cWBxmOJK3Ex5NelLPrKuqFYyjOgZd0Bqn//2xSF9IPIp1+WXe2HxXZbietHHtIW/E31pit3b2kg4Dvi4i/k3QacHND8t1P6ie+ifS6LqO+tttDOnviUdKW+s9J6/8k8N4GtNtc+R6W9BpSwa9tvZsumoX7Sced3h8RFzag7Wbme4C08boN+K/Uu951rOwW++tIB0ofJn3j2JURcUufspUi6VrSwbXtpHNIPxQR36s1VGFGtruADQ1qt5WkLbg3kL7/fjNwXkQ8Ou8TF8Es2T4dEZvqTfXLigtPpvuy76o7z0xFvpOBz0Y666TuPPuQfnPhjaQ96r8EPhXpa7prN0u+zRHxZ/WmKqfjwi7puaTzOS8mHSzq2VfldqvYg/ggaUv485GuWmuEJmcDkLSU1P3yMClfk17XxmaDdFEX8FiU2TpaRE3OJ+lM0mm1n2va6wrNz7eQUlvsZmbWfE39aTwzM6vIhd3MLDMu7GZmmXFhNzPLjAu7mVlmXNjNzDLjwm5mlpn/D0QBdzhJVkBDAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
"yearly_incidence.hist(xrot=20)"
]
@@ -341,9 +2481,7 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "collapsed": true
- },
+ "metadata": {},
"outputs": [],
"source": []
}
@@ -364,7 +2502,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.1"
+ "version": "3.6.4"
}
},
"nbformat": 4,