diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5b58a3ae26346460dd39e62a39c55243d7..27007d294bebeb7268169ed015a5ed0e9923c5da 100644 --- a/module3/exo1/analyse-syndrome-grippal.ipynb +++ b/module3/exo1/analyse-syndrome-grippal.ipynb @@ -9,14 +9,16 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", - "import isoweek" + "import isoweek\n", + "import os\n", + "import requests" ] }, { @@ -28,13 +30,28 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\" # URL du fichier distant" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, "outputs": [], "source": [ - "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" + "# chemin du fichier local\n", + "local_file_path = \"local_data.csv\"\n", + "\n", + "# Vérif si le fichier local existe\n", + "if not os.path.exists(local_file_path):\n", + " # Si le fichier local n'existe pas,on télécharge les données\n", + " response = requests.get(data_url)\n", + " with open(local_file_path, 'wb') as local_file:\n", + " local_file.write(response.content)" ] }, { @@ -61,9 +78,976 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
02023473117461105534.0129388.0177159.0195.0FRFrance
120234638410675281.092931.0127114.0140.0FRFrance
220234537200363178.080828.010895.0121.0FRFrance
320234434995242813.057091.07564.086.0FRFrance
420234334498238170.051794.06858.078.0FRFrance
520234235684249277.064407.08675.097.0FRFrance
620234135835751032.065682.08877.099.0FRFrance
720234036889460069.077719.010491.0117.0FRFrance
820233937200363452.080554.010895.0121.0FRFrance
920233836321855227.071209.09583.0107.0FRFrance
1020233734908542079.056091.07463.085.0FRFrance
1120233633824732237.044257.05849.067.0FRFrance
1220233533169526013.037377.04839.057.0FRFrance
1320233432666321057.032269.04032.048.0FRFrance
1420233331914413161.025127.02920.038.0FRFrance
1520233231464110285.018997.02215.029.0FRFrance
1620233131528610705.019867.02316.030.0FRFrance
172023303132058647.017763.02013.027.0FRFrance
182023293111227113.015131.01711.023.0FRFrance
19202328391795703.012655.0149.019.0FRFrance
20202327389995763.012235.0149.019.0FRFrance
21202326390235934.012112.0149.019.0FRFrance
222023253100906739.013441.01510.020.0FRFrance
232023243113087639.014977.01711.023.0FRFrance
2420232331430010661.017939.02217.027.0FRFrance
2520232231830313822.022784.02821.035.0FRFrance
2620232131646012188.020732.02519.031.0FRFrance
2720232031616211963.020361.02418.030.0FRFrance
2820231931690112577.021225.02518.032.0FRFrance
2920231831992915402.024456.03023.037.0FRFrance
.................................
200919852132609619621.032571.04735.059.0FRFrance
201019852032789620885.034907.05138.064.0FRFrance
201119851934315432821.053487.07859.097.0FRFrance
201219851834055529935.051175.07455.093.0FRFrance
201319851733405324366.043740.06244.080.0FRFrance
201419851635036236451.064273.09166.0116.0FRFrance
201519851536388145538.082224.011683.0149.0FRFrance
20161985143134545114400.0154690.0244207.0281.0FRFrance
20171985133197206176080.0218332.0357319.0395.0FRFrance
20181985123245240223304.0267176.0445405.0485.0FRFrance
20191985113276205252399.0300011.0501458.0544.0FRFrance
20201985103353231326279.0380183.0640591.0689.0FRFrance
20211985093369895341109.0398681.0670618.0722.0FRFrance
20221985083389886359529.0420243.0707652.0762.0FRFrance
20231985073471852432599.0511105.0855784.0926.0FRFrance
20241985063565825518011.0613639.01026939.01113.0FRFrance
20251985053637302592795.0681809.011551074.01236.0FRFrance
20261985043424937390794.0459080.0770708.0832.0FRFrance
20271985033213901174689.0253113.0388317.0459.0FRFrance
202819850239758680949.0114223.0177147.0207.0FRFrance
202919850138548965918.0105060.0155120.0190.0FRFrance
203019845238483060602.0109058.0154110.0198.0FRFrance
2031198451310172680242.0123210.0185146.0224.0FRFrance
20321984503123680101401.0145959.0225184.0266.0FRFrance
2033198449310107381684.0120462.0184149.0219.0FRFrance
203419844837862060634.096606.0143110.0176.0FRFrance
203519844737202954274.089784.013199.0163.0FRFrance
203619844638733067686.0106974.0159123.0195.0FRFrance
20371984453135223101414.0169032.0246184.0308.0FRFrance
203819844436842220056.0116788.012537.0213.0FRFrance
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2039 rows × 10 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202347 3 117461 105534.0 129388.0 177 159.0 \n", + "1 202346 3 84106 75281.0 92931.0 127 114.0 \n", + "2 202345 3 72003 63178.0 80828.0 108 95.0 \n", + "3 202344 3 49952 42813.0 57091.0 75 64.0 \n", + "4 202343 3 44982 38170.0 51794.0 68 58.0 \n", + "5 202342 3 56842 49277.0 64407.0 86 75.0 \n", + "6 202341 3 58357 51032.0 65682.0 88 77.0 \n", + "7 202340 3 68894 60069.0 77719.0 104 91.0 \n", + "8 202339 3 72003 63452.0 80554.0 108 95.0 \n", + "9 202338 3 63218 55227.0 71209.0 95 83.0 \n", + "10 202337 3 49085 42079.0 56091.0 74 63.0 \n", + "11 202336 3 38247 32237.0 44257.0 58 49.0 \n", + "12 202335 3 31695 26013.0 37377.0 48 39.0 \n", + "13 202334 3 26663 21057.0 32269.0 40 32.0 \n", + "14 202333 3 19144 13161.0 25127.0 29 20.0 \n", + "15 202332 3 14641 10285.0 18997.0 22 15.0 \n", + "16 202331 3 15286 10705.0 19867.0 23 16.0 \n", + "17 202330 3 13205 8647.0 17763.0 20 13.0 \n", + "18 202329 3 11122 7113.0 15131.0 17 11.0 \n", + "19 202328 3 9179 5703.0 12655.0 14 9.0 \n", + "20 202327 3 8999 5763.0 12235.0 14 9.0 \n", + "21 202326 3 9023 5934.0 12112.0 14 9.0 \n", + "22 202325 3 10090 6739.0 13441.0 15 10.0 \n", + "23 202324 3 11308 7639.0 14977.0 17 11.0 \n", + "24 202323 3 14300 10661.0 17939.0 22 17.0 \n", + "25 202322 3 18303 13822.0 22784.0 28 21.0 \n", + "26 202321 3 16460 12188.0 20732.0 25 19.0 \n", + "27 202320 3 16162 11963.0 20361.0 24 18.0 \n", + "28 202319 3 16901 12577.0 21225.0 25 18.0 \n", + "29 202318 3 19929 15402.0 24456.0 30 23.0 \n", + "... ... ... ... ... ... ... ... \n", + "2009 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "2010 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "2011 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "2012 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "2013 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "2014 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "2015 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "2016 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "2017 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "2018 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "2019 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "2020 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "2021 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "2022 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "2023 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "2024 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "2025 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "2026 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "2027 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "2028 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "2029 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "2030 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "2031 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "2032 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "2033 198449 3 101073 81684.0 120462.0 184 149.0 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"26 31.0 FR France \n", + "27 30.0 FR France \n", + "28 32.0 FR France \n", + "29 37.0 FR France \n", + "... ... ... ... \n", + "2009 59.0 FR France \n", + "2010 64.0 FR France \n", + "2011 97.0 FR France \n", + "2012 93.0 FR France \n", + "2013 80.0 FR France \n", + "2014 116.0 FR France \n", + "2015 149.0 FR France \n", + "2016 281.0 FR France \n", + "2017 395.0 FR France \n", + "2018 485.0 FR France \n", + "2019 544.0 FR France \n", + "2020 689.0 FR France \n", + "2021 722.0 FR France \n", + "2022 762.0 FR France \n", + "2023 926.0 FR France \n", + "2024 1113.0 FR France \n", + "2025 1236.0 FR France \n", + "2026 832.0 FR France \n", + "2027 459.0 FR France \n", + "2028 207.0 FR France \n", + "2029 190.0 FR France \n", + "2030 198.0 FR France \n", + "2031 224.0 FR France \n", + "2032 266.0 FR France \n", + "2033 219.0 FR France \n", + "2034 176.0 FR France \n", + "2035 163.0 FR France \n", + "2036 195.0 FR France \n", + "2037 308.0 FR France \n", + "2038 213.0 FR France \n", + "\n", + "[2039 rows x 10 columns]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "raw_data = pd.read_csv(data_url, skiprows=1)\n", "raw_data" @@ -78,9 +1062,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
18021989193-NaNNaN-NaNNaNFRFrance
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
02023473117461105534.0129388.0177159.0195.0FRFrance
120234638410675281.092931.0127114.0140.0FRFrance
220234537200363178.080828.010895.0121.0FRFrance
320234434995242813.057091.07564.086.0FRFrance
420234334498238170.051794.06858.078.0FRFrance
520234235684249277.064407.08675.097.0FRFrance
620234135835751032.065682.08877.099.0FRFrance
720234036889460069.077719.010491.0117.0FRFrance
820233937200363452.080554.010895.0121.0FRFrance
920233836321855227.071209.09583.0107.0FRFrance
1020233734908542079.056091.07463.085.0FRFrance
1120233633824732237.044257.05849.067.0FRFrance
1220233533169526013.037377.04839.057.0FRFrance
1320233432666321057.032269.04032.048.0FRFrance
1420233331914413161.025127.02920.038.0FRFrance
1520233231464110285.018997.02215.029.0FRFrance
1620233131528610705.019867.02316.030.0FRFrance
172023303132058647.017763.02013.027.0FRFrance
182023293111227113.015131.01711.023.0FRFrance
19202328391795703.012655.0149.019.0FRFrance
20202327389995763.012235.0149.019.0FRFrance
21202326390235934.012112.0149.019.0FRFrance
222023253100906739.013441.01510.020.0FRFrance
232023243113087639.014977.01711.023.0FRFrance
2420232331430010661.017939.02217.027.0FRFrance
2520232231830313822.022784.02821.035.0FRFrance
2620232131646012188.020732.02519.031.0FRFrance
2720232031616211963.020361.02418.030.0FRFrance
2820231931690112577.021225.02518.032.0FRFrance
2920231831992915402.024456.03023.037.0FRFrance
.................................
200919852132609619621.032571.04735.059.0FRFrance
201019852032789620885.034907.05138.064.0FRFrance
201119851934315432821.053487.07859.097.0FRFrance
201219851834055529935.051175.07455.093.0FRFrance
201319851733405324366.043740.06244.080.0FRFrance
201419851635036236451.064273.09166.0116.0FRFrance
201519851536388145538.082224.011683.0149.0FRFrance
20161985143134545114400.0154690.0244207.0281.0FRFrance
20171985133197206176080.0218332.0357319.0395.0FRFrance
20181985123245240223304.0267176.0445405.0485.0FRFrance
20191985113276205252399.0300011.0501458.0544.0FRFrance
20201985103353231326279.0380183.0640591.0689.0FRFrance
20211985093369895341109.0398681.0670618.0722.0FRFrance
20221985083389886359529.0420243.0707652.0762.0FRFrance
20231985073471852432599.0511105.0855784.0926.0FRFrance
20241985063565825518011.0613639.01026939.01113.0FRFrance
20251985053637302592795.0681809.011551074.01236.0FRFrance
20261985043424937390794.0459080.0770708.0832.0FRFrance
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2031198451310172680242.0123210.0185146.0224.0FRFrance
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2038 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202347 3 117461 105534.0 129388.0 177 159.0 \n", + "1 202346 3 84106 75281.0 92931.0 127 114.0 \n", + "2 202345 3 72003 63178.0 80828.0 108 95.0 \n", + "3 202344 3 49952 42813.0 57091.0 75 64.0 \n", + "4 202343 3 44982 38170.0 51794.0 68 58.0 \n", + "5 202342 3 56842 49277.0 64407.0 86 75.0 \n", + "6 202341 3 58357 51032.0 65682.0 88 77.0 \n", + "7 202340 3 68894 60069.0 77719.0 104 91.0 \n", + "8 202339 3 72003 63452.0 80554.0 108 95.0 \n", + "9 202338 3 63218 55227.0 71209.0 95 83.0 \n", + "10 202337 3 49085 42079.0 56091.0 74 63.0 \n", + "11 202336 3 38247 32237.0 44257.0 58 49.0 \n", + "12 202335 3 31695 26013.0 37377.0 48 39.0 \n", + "13 202334 3 26663 21057.0 32269.0 40 32.0 \n", + "14 202333 3 19144 13161.0 25127.0 29 20.0 \n", + "15 202332 3 14641 10285.0 18997.0 22 15.0 \n", + "16 202331 3 15286 10705.0 19867.0 23 16.0 \n", + "17 202330 3 13205 8647.0 17763.0 20 13.0 \n", + "18 202329 3 11122 7113.0 15131.0 17 11.0 \n", + "19 202328 3 9179 5703.0 12655.0 14 9.0 \n", + "20 202327 3 8999 5763.0 12235.0 14 9.0 \n", + "21 202326 3 9023 5934.0 12112.0 14 9.0 \n", + "22 202325 3 10090 6739.0 13441.0 15 10.0 \n", + "23 202324 3 11308 7639.0 14977.0 17 11.0 \n", + "24 202323 3 14300 10661.0 17939.0 22 17.0 \n", + "25 202322 3 18303 13822.0 22784.0 28 21.0 \n", + "26 202321 3 16460 12188.0 20732.0 25 19.0 \n", + "27 202320 3 16162 11963.0 20361.0 24 18.0 \n", + "28 202319 3 16901 12577.0 21225.0 25 18.0 \n", + "29 202318 3 19929 15402.0 24456.0 30 23.0 \n", + "... ... ... ... ... ... ... ... \n", + "2009 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "2010 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "2011 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "2012 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "2013 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "2014 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "2015 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "2016 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "2017 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "2018 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "2019 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "2020 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "2021 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "2022 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "2023 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "2024 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "2025 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "2026 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "2027 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "2028 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "2029 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "2030 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "2031 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "2032 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "2033 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "2034 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "2035 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "2036 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "2037 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "2038 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 195.0 FR France \n", + "1 140.0 FR France \n", + "2 121.0 FR France \n", + "3 86.0 FR France \n", + "4 78.0 FR France \n", + "5 97.0 FR France \n", + "6 99.0 FR France \n", + "7 117.0 FR France \n", + "8 121.0 FR France \n", + "9 107.0 FR France \n", + "10 85.0 FR France \n", + "11 67.0 FR France \n", + "12 57.0 FR France \n", + "13 48.0 FR France \n", + "14 38.0 FR France \n", + "15 29.0 FR France \n", + "16 30.0 FR France \n", + "17 27.0 FR France \n", + "18 23.0 FR France \n", + "19 19.0 FR France \n", + "20 19.0 FR France \n", + "21 19.0 FR France \n", + "22 20.0 FR France \n", + "23 23.0 FR France \n", + "24 27.0 FR France \n", + "25 35.0 FR France \n", + "26 31.0 FR France \n", + "27 30.0 FR France \n", + "28 32.0 FR France \n", + "29 37.0 FR France \n", + "... ... ... ... \n", + "2009 59.0 FR France \n", + "2010 64.0 FR France \n", + "2011 97.0 FR France \n", + "2012 93.0 FR France \n", + "2013 80.0 FR France \n", + "2014 116.0 FR France \n", + "2015 149.0 FR France \n", + "2016 281.0 FR France \n", + "2017 395.0 FR France \n", + "2018 485.0 FR France \n", + "2019 544.0 FR France \n", + "2020 689.0 FR France \n", + "2021 722.0 FR France \n", + "2022 762.0 FR France \n", + "2023 926.0 FR France \n", + "2024 1113.0 FR France \n", + "2025 1236.0 FR France \n", + "2026 832.0 FR France \n", + "2027 459.0 FR France \n", + "2028 207.0 FR France \n", + "2029 190.0 FR France \n", + "2030 198.0 FR France \n", + "2031 224.0 FR France \n", + "2032 266.0 FR France \n", + "2033 219.0 FR France \n", + "2034 176.0 FR France \n", + "2035 163.0 FR France \n", + "2036 195.0 FR France \n", + "2037 308.0 FR France \n", + "2038 213.0 FR France \n", + "\n", + "[2038 rows x 10 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2137,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2167,8 @@ }, { "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 +2192,17 @@ }, { "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", @@ -199,10 +2220,34 @@ }, { "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": [ + "sorted_data['inc'] = pd.to_numeric(sorted_data['inc'], errors='raise')\n", "sorted_data['inc'].plot()" ] }, @@ -215,9 +2260,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "yearly_incidence.plot(style='*')" ] @@ -314,9 +2403,57 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "2021 743449\n", + "2014 1600941\n", + "1991 1659249\n", + "1995 1840410\n", + "2020 2010315\n", + "2022 2060304\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": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "yearly_incidence.sort_values()" ] @@ -331,9 +2468,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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