From b0d01b93754cd3655fada8967a27de95a48fcc47 Mon Sep 17 00:00:00 2001 From: 8af936f0a98530ad3530092bbc37987a <8af936f0a98530ad3530092bbc37987a@app-learninglab.inria.fr> Date: Thu, 25 Feb 2021 15:16:11 +0000 Subject: [PATCH] no commit message --- module3/chabert.ipynb | 3482 ---------------------- module3/exo3/exercice.ipynb | 184 +- module3/exo3/monthly_in_situ_co2_mlo.csv | 774 +++++ 3 files changed, 910 insertions(+), 3530 deletions(-) delete mode 100644 module3/chabert.ipynb create mode 100644 module3/exo3/monthly_in_situ_co2_mlo.csv diff --git a/module3/chabert.ipynb b/module3/chabert.ipynb deleted file mode 100644 index 4583588..0000000 --- a/module3/chabert.ipynb +++ /dev/null @@ -1,3482 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "hideCode": false, - "hidePrompt": false - }, - "source": [ - "# Incidence du syndrome grippal" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "hideCode": false, - "hidePrompt": false - }, - "outputs": [], - "source": [ - "%matplotlib inline \n", - "import pandas as pd \n", - "import matplotlib.pyplot as plt \n", - "import isoweek " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Les données de l'incidence du syndrome grippal sont disponibles du site Web du [Réseau Sentinelles](https://websenti.u707.jussieu.fr/sentiweb/). 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." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Pour retrouver les data des symdromes grippaux\n", - "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "hideCode": false, - "hidePrompt": false - }, - "outputs": [], - "source": [ - "raw_data = pd.read_csv(\"https://www.sentiweb.fr/datasets/incidence-PAY-3.csv\", skiprows=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "hideCode": false, - "hidePrompt": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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2020203931981015900.023720.03024.036.0FRFrance
2120203832556221142.029982.03932.046.0FRFrance
2220203731848514649.022321.02822.034.0FRFrance
232020363103907646.013134.01612.020.0FRFrance
24202035399186842.012994.01510.020.0FRFrance
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26202033361063411.08801.095.013.0FRFrance
27202032359183330.08506.095.013.0FRFrance
28202031343512269.06433.074.010.0FRFrance
29202030381795442.010916.0128.016.0FRFrance
.................................
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1894 rows × 10 columns

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" - ], - "text/plain": [ - " week indicator inc inc_low inc_up inc100 inc100_low \\\n", - "0 202106 3 23365 19231.0 27499.0 35 29.0 \n", - "1 202105 3 22426 18445.0 26407.0 34 28.0 \n", - "2 202104 3 25804 21491.0 30117.0 39 32.0 \n", - "3 202103 3 21810 17894.0 25726.0 33 27.0 \n", - "4 202102 3 17320 13906.0 20734.0 26 21.0 \n", - "5 202101 3 21799 17778.0 25820.0 33 27.0 \n", - "6 202053 3 21220 16498.0 25942.0 32 25.0 \n", - "7 202052 3 16428 12285.0 20571.0 25 19.0 \n", - "8 202051 3 21619 17370.0 25868.0 33 27.0 \n", - "9 202050 3 16845 13220.0 20470.0 26 20.0 \n", - "10 202049 3 12939 9923.0 15955.0 20 15.0 \n", - "11 202048 3 13804 10641.0 16967.0 21 16.0 \n", - "12 202047 3 19085 15285.0 22885.0 29 23.0 \n", - "13 202046 3 24801 20503.0 29099.0 38 31.0 \n", - "14 202045 3 42516 36857.0 48175.0 65 56.0 \n", - "15 202044 3 44567 38521.0 50613.0 68 59.0 \n", - "16 202043 3 43737 37523.0 49951.0 66 57.0 \n", - "17 202042 3 35145 29812.0 40478.0 53 45.0 \n", - "18 202041 3 27877 23206.0 32548.0 42 35.0 \n", - 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1893 rows × 10 columns

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" - ], - "text/plain": [ - " week indicator inc inc_low inc_up inc100 inc100_low \\\n", - "0 202106 3 23365 19231.0 27499.0 35 29.0 \n", - "1 202105 3 22426 18445.0 26407.0 34 28.0 \n", - "2 202104 3 25804 21491.0 30117.0 39 32.0 \n", - "3 202103 3 21810 17894.0 25726.0 33 27.0 \n", - "4 202102 3 17320 13906.0 20734.0 26 21.0 \n", - "5 202101 3 21799 17778.0 25820.0 33 27.0 \n", - "6 202053 3 21220 16498.0 25942.0 32 25.0 \n", - "7 202052 3 16428 12285.0 20571.0 25 19.0 \n", - "8 202051 3 21619 17370.0 25868.0 33 27.0 \n", - "9 202050 3 16845 13220.0 20470.0 26 20.0 \n", - "10 202049 3 12939 9923.0 15955.0 20 15.0 \n", - "11 202048 3 13804 10641.0 16967.0 21 16.0 \n", - "12 202047 3 19085 15285.0 22885.0 29 23.0 \n", - "13 202046 3 24801 20503.0 29099.0 38 31.0 \n", - "14 202045 3 42516 36857.0 48175.0 65 56.0 \n", - "15 202044 3 44567 38521.0 50613.0 68 59.0 \n", - "16 202043 3 43737 37523.0 49951.0 66 57.0 \n", - "17 202042 3 35145 29812.0 40478.0 53 45.0 \n", - "18 202041 3 27877 23206.0 32548.0 42 35.0 \n", - "19 202040 3 20443 16381.0 24505.0 31 25.0 \n", - "20 202039 3 19810 15900.0 23720.0 30 24.0 \n", - "21 202038 3 25562 21142.0 29982.0 39 32.0 \n", - "22 202037 3 18485 14649.0 22321.0 28 22.0 \n", - "23 202036 3 10390 7646.0 13134.0 16 12.0 \n", - "24 202035 3 9918 6842.0 12994.0 15 10.0 \n", - "25 202034 3 6084 3090.0 9078.0 9 4.0 \n", - "26 202033 3 6106 3411.0 8801.0 9 5.0 \n", - "27 202032 3 5918 3330.0 8506.0 9 5.0 \n", - "28 202031 3 4351 2269.0 6433.0 7 4.0 \n", - "29 202030 3 8179 5442.0 10916.0 12 8.0 \n", - "... ... ... ... ... ... ... ... \n", - "1864 198521 3 26096 19621.0 32571.0 47 35.0 \n", - "1865 198520 3 27896 20885.0 34907.0 51 38.0 \n", - "1866 198519 3 43154 32821.0 53487.0 78 59.0 \n", - "1867 198518 3 40555 29935.0 51175.0 74 55.0 \n", - "1868 198517 3 34053 24366.0 43740.0 62 44.0 \n", - "1869 198516 3 50362 36451.0 64273.0 91 66.0 \n", - "1870 198515 3 63881 45538.0 82224.0 116 83.0 \n", - "1871 198514 3 134545 114400.0 154690.0 244 207.0 \n", - "1872 198513 3 197206 176080.0 218332.0 357 319.0 \n", - "1873 198512 3 245240 223304.0 267176.0 445 405.0 \n", - "1874 198511 3 276205 252399.0 300011.0 501 458.0 \n", - "1875 198510 3 353231 326279.0 380183.0 640 591.0 \n", - "1876 198509 3 369895 341109.0 398681.0 670 618.0 \n", - "1877 198508 3 389886 359529.0 420243.0 707 652.0 \n", - "1878 198507 3 471852 432599.0 511105.0 855 784.0 \n", - "1879 198506 3 565825 518011.0 613639.0 1026 939.0 \n", - "1880 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", - "1881 198504 3 424937 390794.0 459080.0 770 708.0 \n", - "1882 198503 3 213901 174689.0 253113.0 388 317.0 \n", - "1883 198502 3 97586 80949.0 114223.0 177 147.0 \n", - "1884 198501 3 85489 65918.0 105060.0 155 120.0 \n", - "1885 198452 3 84830 60602.0 109058.0 154 110.0 \n", - "1886 198451 3 101726 80242.0 123210.0 185 146.0 \n", - "1887 198450 3 123680 101401.0 145959.0 225 184.0 \n", - "1888 198449 3 101073 81684.0 120462.0 184 149.0 \n", - "1889 198448 3 78620 60634.0 96606.0 143 110.0 \n", - "1890 198447 3 72029 54274.0 89784.0 131 99.0 \n", - "1891 198446 3 87330 67686.0 106974.0 159 123.0 \n", - "1892 198445 3 135223 101414.0 169032.0 246 184.0 \n", - "1893 198444 3 68422 20056.0 116788.0 125 37.0 \n", - "\n", - " inc100_up geo_insee geo_name \n", - "0 41.0 FR France \n", - "1 40.0 FR France \n", - "2 46.0 FR France \n", - "3 39.0 FR France \n", - "4 31.0 FR France \n", - "5 39.0 FR France \n", - "6 39.0 FR France \n", - "7 31.0 FR France \n", - "8 39.0 FR France \n", - "9 32.0 FR France \n", - "10 25.0 FR France \n", - "11 26.0 FR France \n", - "12 35.0 FR France \n", - "13 45.0 FR France \n", - "14 74.0 FR France \n", - "15 77.0 FR France \n", - "16 75.0 FR France \n", - "17 61.0 FR France \n", - "18 49.0 FR France \n", - "19 37.0 FR France \n", - "20 36.0 FR France \n", - "21 46.0 FR France \n", - "22 34.0 FR France \n", - "23 20.0 FR France \n", - "24 20.0 FR France \n", - "25 14.0 FR France \n", - "26 13.0 FR France \n", - "27 13.0 FR France \n", - "28 10.0 FR France \n", - "29 16.0 FR France \n", - "... ... ... ... \n", - "1864 59.0 FR France \n", - "1865 64.0 FR France \n", - "1866 97.0 FR France \n", - "1867 93.0 FR France \n", - "1868 80.0 FR France \n", - "1869 116.0 FR France \n", - "1870 149.0 FR France \n", - "1871 281.0 FR France \n", - "1872 395.0 FR France \n", - "1873 485.0 FR France \n", - "1874 544.0 FR France \n", - "1875 689.0 FR France \n", - "1876 722.0 FR France \n", - "1877 762.0 FR France \n", - "1878 926.0 FR France \n", - "1879 1113.0 FR France \n", - "1880 1236.0 FR France \n", - "1881 832.0 FR France \n", - "1882 459.0 FR France \n", - "1883 207.0 FR France \n", - "1884 190.0 FR France \n", - "1885 198.0 FR France \n", - "1886 224.0 FR France \n", - "1887 266.0 FR France \n", - "1888 219.0 FR France \n", - "1889 176.0 FR France \n", - "1890 163.0 FR France \n", - "1891 195.0 FR France \n", - "1892 308.0 FR France \n", - "1893 213.0 FR France \n", - "\n", - "[1893 rows x 10 columns]" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "hideCode": false, - "hidePrompt": false - }, - "outputs": [], - "source": [ - "def convert_week(year_and_week_int):\n", - " year_and_week_str = str(year_and_week_int)\n", - " year = int(year_and_week_str[:4])\n", - " week = int(year_and_week_str[4:])\n", - " w = isoweek.Week(year, week)\n", - " return pd.Period(w.day(0),'W')" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "hideCode": false, - "hidePrompt": false, - "scrolled": false - }, - "outputs": [], - "source": [ - "data['period'] = [convert_week(yw) for yw in data['week']]" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "hideCode": false, - "hidePrompt": false - }, - "outputs": [], - "source": [ - "sorted_data = data.set_index('period').sort_index()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "hideCode": false, - "hidePrompt": false - }, - "outputs": [ - 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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
period
1984-10-29/1984-11-0419844436842220056.0116788.012537.0213.0FRFrance
1984-11-05/1984-11-111984453135223101414.0169032.0246184.0308.0FRFrance
1984-11-12/1984-11-1819844638733067686.0106974.0159123.0195.0FRFrance
1984-11-19/1984-11-2519844737202954274.089784.013199.0163.0FRFrance
1984-11-26/1984-12-0219844837862060634.096606.0143110.0176.0FRFrance
1984-12-03/1984-12-09198449310107381684.0120462.0184149.0219.0FRFrance
1984-12-10/1984-12-161984503123680101401.0145959.0225184.0266.0FRFrance
1984-12-17/1984-12-23198451310172680242.0123210.0185146.0224.0FRFrance
1984-12-24/1984-12-3019845238483060602.0109058.0154110.0198.0FRFrance
1984-12-31/1985-01-0619850138548965918.0105060.0155120.0190.0FRFrance
1985-01-07/1985-01-1319850239758680949.0114223.0177147.0207.0FRFrance
1985-01-14/1985-01-201985033213901174689.0253113.0388317.0459.0FRFrance
1985-01-21/1985-01-271985043424937390794.0459080.0770708.0832.0FRFrance
1985-01-28/1985-02-031985053637302592795.0681809.011551074.01236.0FRFrance
1985-02-04/1985-02-101985063565825518011.0613639.01026939.01113.0FRFrance
1985-02-11/1985-02-171985073471852432599.0511105.0855784.0926.0FRFrance
1985-02-18/1985-02-241985083389886359529.0420243.0707652.0762.0FRFrance
1985-02-25/1985-03-031985093369895341109.0398681.0670618.0722.0FRFrance
1985-03-04/1985-03-101985103353231326279.0380183.0640591.0689.0FRFrance
1985-03-11/1985-03-171985113276205252399.0300011.0501458.0544.0FRFrance
1985-03-18/1985-03-241985123245240223304.0267176.0445405.0485.0FRFrance
1985-03-25/1985-03-311985133197206176080.0218332.0357319.0395.0FRFrance
1985-04-01/1985-04-071985143134545114400.0154690.0244207.0281.0FRFrance
1985-04-08/1985-04-1419851536388145538.082224.011683.0149.0FRFrance
1985-04-15/1985-04-2119851635036236451.064273.09166.0116.0FRFrance
1985-04-22/1985-04-2819851733405324366.043740.06244.080.0FRFrance
1985-04-29/1985-05-0519851834055529935.051175.07455.093.0FRFrance
1985-05-06/1985-05-1219851934315432821.053487.07859.097.0FRFrance
1985-05-13/1985-05-1919852032789620885.034907.05138.064.0FRFrance
1985-05-20/1985-05-2619852132609619621.032571.04735.059.0FRFrance
.................................
2020-07-20/2020-07-26202030381795442.010916.0128.016.0FRFrance
2020-07-27/2020-08-02202031343512269.06433.074.010.0FRFrance
2020-08-03/2020-08-09202032359183330.08506.095.013.0FRFrance
2020-08-10/2020-08-16202033361063411.08801.095.013.0FRFrance
2020-08-17/2020-08-23202034360843090.09078.094.014.0FRFrance
2020-08-24/2020-08-30202035399186842.012994.01510.020.0FRFrance
2020-08-31/2020-09-062020363103907646.013134.01612.020.0FRFrance
2020-09-07/2020-09-1320203731848514649.022321.02822.034.0FRFrance
2020-09-14/2020-09-2020203832556221142.029982.03932.046.0FRFrance
2020-09-21/2020-09-2720203931981015900.023720.03024.036.0FRFrance
2020-09-28/2020-10-0420204032044316381.024505.03125.037.0FRFrance
2020-10-05/2020-10-1120204132787723206.032548.04235.049.0FRFrance
2020-10-12/2020-10-1820204233514529812.040478.05345.061.0FRFrance
2020-10-19/2020-10-2520204334373737523.049951.06657.075.0FRFrance
2020-10-26/2020-11-0120204434456738521.050613.06859.077.0FRFrance
2020-11-02/2020-11-0820204534251636857.048175.06556.074.0FRFrance
2020-11-09/2020-11-1520204632480120503.029099.03831.045.0FRFrance
2020-11-16/2020-11-2220204731908515285.022885.02923.035.0FRFrance
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\n", - "

1893 rows × 10 columns

\n", - "
" - ], - "text/plain": [ - " week indicator inc inc_low inc_up inc100 \\\n", - "period \n", - "1984-10-29/1984-11-04 198444 3 68422 20056.0 116788.0 125 \n", - "1984-11-05/1984-11-11 198445 3 135223 101414.0 169032.0 246 \n", - "1984-11-12/1984-11-18 198446 3 87330 67686.0 106974.0 159 \n", - "1984-11-19/1984-11-25 198447 3 72029 54274.0 89784.0 131 \n", - "1984-11-26/1984-12-02 198448 3 78620 60634.0 96606.0 143 \n", - "1984-12-03/1984-12-09 198449 3 101073 81684.0 120462.0 184 \n", - "1984-12-10/1984-12-16 198450 3 123680 101401.0 145959.0 225 \n", - "1984-12-17/1984-12-23 198451 3 101726 80242.0 123210.0 185 \n", - "1984-12-24/1984-12-30 198452 3 84830 60602.0 109058.0 154 \n", - "1984-12-31/1985-01-06 198501 3 85489 65918.0 105060.0 155 \n", - "1985-01-07/1985-01-13 198502 3 97586 80949.0 114223.0 177 \n", - "1985-01-14/1985-01-20 198503 3 213901 174689.0 253113.0 388 \n", - "1985-01-21/1985-01-27 198504 3 424937 390794.0 459080.0 770 \n", - "1985-01-28/1985-02-03 198505 3 637302 592795.0 681809.0 1155 \n", - "1985-02-04/1985-02-10 198506 3 565825 518011.0 613639.0 1026 \n", - "1985-02-11/1985-02-17 198507 3 471852 432599.0 511105.0 855 \n", - "1985-02-18/1985-02-24 198508 3 389886 359529.0 420243.0 707 \n", - "1985-02-25/1985-03-03 198509 3 369895 341109.0 398681.0 670 \n", - "1985-03-04/1985-03-10 198510 3 353231 326279.0 380183.0 640 \n", - "1985-03-11/1985-03-17 198511 3 276205 252399.0 300011.0 501 \n", - "1985-03-18/1985-03-24 198512 3 245240 223304.0 267176.0 445 \n", - "1985-03-25/1985-03-31 198513 3 197206 176080.0 218332.0 357 \n", - "1985-04-01/1985-04-07 198514 3 134545 114400.0 154690.0 244 \n", - "1985-04-08/1985-04-14 198515 3 63881 45538.0 82224.0 116 \n", - "1985-04-15/1985-04-21 198516 3 50362 36451.0 64273.0 91 \n", - "1985-04-22/1985-04-28 198517 3 34053 24366.0 43740.0 62 \n", - "1985-04-29/1985-05-05 198518 3 40555 29935.0 51175.0 74 \n", - "1985-05-06/1985-05-12 198519 3 43154 32821.0 53487.0 78 \n", - "1985-05-13/1985-05-19 198520 3 27896 20885.0 34907.0 51 \n", - "1985-05-20/1985-05-26 198521 3 26096 19621.0 32571.0 47 \n", - "... ... ... ... ... ... ... \n", - "2020-07-20/2020-07-26 202030 3 8179 5442.0 10916.0 12 \n", - "2020-07-27/2020-08-02 202031 3 4351 2269.0 6433.0 7 \n", - "2020-08-03/2020-08-09 202032 3 5918 3330.0 8506.0 9 \n", - "2020-08-10/2020-08-16 202033 3 6106 3411.0 8801.0 9 \n", - "2020-08-17/2020-08-23 202034 3 6084 3090.0 9078.0 9 \n", - "2020-08-24/2020-08-30 202035 3 9918 6842.0 12994.0 15 \n", - "2020-08-31/2020-09-06 202036 3 10390 7646.0 13134.0 16 \n", - "2020-09-07/2020-09-13 202037 3 18485 14649.0 22321.0 28 \n", - "2020-09-14/2020-09-20 202038 3 25562 21142.0 29982.0 39 \n", - "2020-09-21/2020-09-27 202039 3 19810 15900.0 23720.0 30 \n", - "2020-09-28/2020-10-04 202040 3 20443 16381.0 24505.0 31 \n", - "2020-10-05/2020-10-11 202041 3 27877 23206.0 32548.0 42 \n", - "2020-10-12/2020-10-18 202042 3 35145 29812.0 40478.0 53 \n", - "2020-10-19/2020-10-25 202043 3 43737 37523.0 49951.0 66 \n", - "2020-10-26/2020-11-01 202044 3 44567 38521.0 50613.0 68 \n", - "2020-11-02/2020-11-08 202045 3 42516 36857.0 48175.0 65 \n", - "2020-11-09/2020-11-15 202046 3 24801 20503.0 29099.0 38 \n", - "2020-11-16/2020-11-22 202047 3 19085 15285.0 22885.0 29 \n", - "2020-11-23/2020-11-29 202048 3 13804 10641.0 16967.0 21 \n", - "2020-11-30/2020-12-06 202049 3 12939 9923.0 15955.0 20 \n", - "2020-12-07/2020-12-13 202050 3 16845 13220.0 20470.0 26 \n", - "2020-12-14/2020-12-20 202051 3 21619 17370.0 25868.0 33 \n", - "2020-12-21/2020-12-27 202052 3 16428 12285.0 20571.0 25 \n", - "2020-12-28/2021-01-03 202053 3 21220 16498.0 25942.0 32 \n", - "2021-01-04/2021-01-10 202101 3 21799 17778.0 25820.0 33 \n", - "2021-01-11/2021-01-17 202102 3 17320 13906.0 20734.0 26 \n", - "2021-01-18/2021-01-24 202103 3 21810 17894.0 25726.0 33 \n", - "2021-01-25/2021-01-31 202104 3 25804 21491.0 30117.0 39 \n", - "2021-02-01/2021-02-07 202105 3 22426 18445.0 26407.0 34 \n", - "2021-02-08/2021-02-14 202106 3 23365 19231.0 27499.0 35 \n", - "\n", - " inc100_low inc100_up geo_insee geo_name \n", - "period \n", - "1984-10-29/1984-11-04 37.0 213.0 FR France \n", - "1984-11-05/1984-11-11 184.0 308.0 FR France \n", - "1984-11-12/1984-11-18 123.0 195.0 FR France \n", - "1984-11-19/1984-11-25 99.0 163.0 FR France \n", - "1984-11-26/1984-12-02 110.0 176.0 FR France \n", - "1984-12-03/1984-12-09 149.0 219.0 FR France \n", - "1984-12-10/1984-12-16 184.0 266.0 FR France \n", - "1984-12-17/1984-12-23 146.0 224.0 FR France \n", - "1984-12-24/1984-12-30 110.0 198.0 FR France \n", - "1984-12-31/1985-01-06 120.0 190.0 FR France \n", - "1985-01-07/1985-01-13 147.0 207.0 FR France \n", - "1985-01-14/1985-01-20 317.0 459.0 FR France \n", - "1985-01-21/1985-01-27 708.0 832.0 FR France \n", - "1985-01-28/1985-02-03 1074.0 1236.0 FR France \n", - "1985-02-04/1985-02-10 939.0 1113.0 FR France \n", - "1985-02-11/1985-02-17 784.0 926.0 FR France \n", - "1985-02-18/1985-02-24 652.0 762.0 FR France \n", - "1985-02-25/1985-03-03 618.0 722.0 FR France \n", - "1985-03-04/1985-03-10 591.0 689.0 FR France \n", - "1985-03-11/1985-03-17 458.0 544.0 FR France \n", - "1985-03-18/1985-03-24 405.0 485.0 FR France \n", - "1985-03-25/1985-03-31 319.0 395.0 FR France \n", - "1985-04-01/1985-04-07 207.0 281.0 FR France \n", - "1985-04-08/1985-04-14 83.0 149.0 FR France \n", - "1985-04-15/1985-04-21 66.0 116.0 FR France \n", - "1985-04-22/1985-04-28 44.0 80.0 FR France \n", - "1985-04-29/1985-05-05 55.0 93.0 FR France \n", - "1985-05-06/1985-05-12 59.0 97.0 FR France \n", - "1985-05-13/1985-05-19 38.0 64.0 FR France \n", - "1985-05-20/1985-05-26 35.0 59.0 FR France \n", - "... ... ... ... ... \n", - "2020-07-20/2020-07-26 8.0 16.0 FR France \n", - "2020-07-27/2020-08-02 4.0 10.0 FR France \n", - "2020-08-03/2020-08-09 5.0 13.0 FR France \n", - "2020-08-10/2020-08-16 5.0 13.0 FR France \n", - "2020-08-17/2020-08-23 4.0 14.0 FR France \n", - "2020-08-24/2020-08-30 10.0 20.0 FR France \n", - "2020-08-31/2020-09-06 12.0 20.0 FR France \n", - "2020-09-07/2020-09-13 22.0 34.0 FR France \n", - "2020-09-14/2020-09-20 32.0 46.0 FR France \n", - "2020-09-21/2020-09-27 24.0 36.0 FR France \n", - "2020-09-28/2020-10-04 25.0 37.0 FR France \n", - "2020-10-05/2020-10-11 35.0 49.0 FR France \n", - "2020-10-12/2020-10-18 45.0 61.0 FR France \n", - "2020-10-19/2020-10-25 57.0 75.0 FR France \n", - "2020-10-26/2020-11-01 59.0 77.0 FR France \n", - "2020-11-02/2020-11-08 56.0 74.0 FR France \n", - "2020-11-09/2020-11-15 31.0 45.0 FR France \n", - "2020-11-16/2020-11-22 23.0 35.0 FR France \n", - "2020-11-23/2020-11-29 16.0 26.0 FR France \n", - "2020-11-30/2020-12-06 15.0 25.0 FR France \n", - "2020-12-07/2020-12-13 20.0 32.0 FR France \n", - "2020-12-14/2020-12-20 27.0 39.0 FR France \n", - "2020-12-21/2020-12-27 19.0 31.0 FR France \n", - "2020-12-28/2021-01-03 25.0 39.0 FR France \n", - "2021-01-04/2021-01-10 27.0 39.0 FR France \n", - "2021-01-11/2021-01-17 21.0 31.0 FR France \n", - "2021-01-18/2021-01-24 27.0 39.0 FR France \n", - "2021-01-25/2021-01-31 32.0 46.0 FR France \n", - "2021-02-01/2021-02-07 28.0 40.0 FR France \n", - "2021-02-08/2021-02-14 29.0 41.0 FR France \n", - "\n", - "[1893 rows x 10 columns]" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sorted_data" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "hideCode": false, - "hidePrompt": false - }, - "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", - " delta = p2.to_timestamp() - p1.end_time\n", - " if delta > pd.Timedelta('1s'):\n", - " print(p1, p2)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hideCode": false, - "hidePrompt": false - }, - "source": [ - "Cela correspond à la semaine 19 de l'année 1989" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hideCode": false, - "hidePrompt": false - }, - "source": [ - "Toute la colonne 'inc' est représantée par des chaines de caractères en trait à cause de l'abscence de donnée de la semaine 19 de 1989, il faut donc la prendre en compte pour que les données soit exploitable" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "hideCode": false, - "hideOutput": true, - "hidePrompt": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 12, - "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": [ - "sorted_data['inc'][-200:].plot()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## etude de l'incidence annuel" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Début de l'analyse des données à partir d'octobre 1984" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", - " for y in range(1985, \n", - " sorted_data.index[-1].year)]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "On a fait le choix de commencer l'année de notre analyse au 1er aout car c'est la période du creu épidémique d'Influenza, il faut donc trier les données en fonction de ce critère.\n", - "Il faut aussi vérifier que les années font bien entre 51 et 52 semaines." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "year = []\n", - "yearly_incidence = []\n", - "for week1, week2 in zip(first_august_week[:-1], \n", - " first_august_week[1:]):\n", - " one_year = sorted_data['inc'][week1:week2-1]\n", - " assert abs(len(one_year)-52) < 2\n", - " yearly_incidence.append(one_year.sum())\n", - " year.append(week2.year)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "yearly_incidence = pd.Series(data=yearly_incidence, index=year) " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Graphique de l'incidence de grippe en fonction des années" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "yearly_incidence.sort_values()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Représentation en histogramme des épidémie les plus fort au cours des 36 dernière années" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 20, - "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.hist(xrot=20)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "hide_code_all_hidden": false, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index fe6605b..320547f 100644 --- a/module3/exo3/exercice.ipynb +++ b/module3/exo3/exercice.ipynb @@ -30,16 +30,30 @@ "%matplotlib inline \n", "import pandas as pd \n", "import matplotlib.pyplot as plt \n", - "import isoweek " + "import isoweek \n", + "import numpy as np" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + " CO2 concentrations are measured on the '12' calibration scale object\n", + "dtype: object" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "raw_data = pd.read_csv(\"https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/monthly/monthly_in_situ_co2_mlo.csv\", skiprows=2)" + "data = pd.read_csv(\"monthly_in_situ_co2_mlo.csv\", dtype={'Yr':float}, skiprows=1)\n", + "data.dtypes" ] }, { @@ -51,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -83,7 +97,7 @@ " \n", " \n", " \n", - " \n", + " CO2 concentrations are measured on the '12' calibration scale\n", " \n", " \n", " \n", @@ -113,7 +127,7 @@ " \n", " \n", " Excel\n", - " \n", + " date\n", " [ppm]\n", " [ppm]\n", " [ppm]\n", @@ -772,10 +786,10 @@ "" ], "text/plain": [ - " \n", + " CO2 concentrations are measured on the '12' calibration scale \n", " Yr Mn Date Date CO2 seasonally fit seasonally CO2 seasonally \n", " adjusted adjusted fit filled adjusted filled \n", - " Excel [ppm] [ppm] [ppm] [ppm] [ppm] [ppm] \n", + " Excel date [ppm] [ppm] [ppm] [ppm] [ppm] [ppm] \n", "1958 01 21200 1958.0411 -99.99 -99.99 -99.99 -99.99 -99.99 -99.99 \n", " 02 21231 1958.1260 -99.99 -99.99 -99.99 -99.99 -99.99 -99.99 \n", " 03 21259 1958.2027 315.70 314.43 316.19 314.90 315.70 314.43 \n", @@ -838,13 +852,13 @@ "[771 rows x 1 columns]" ] }, - "execution_count": 3, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "raw_data" + "data" ] }, { @@ -856,7 +870,38 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "data = data.dropna().copy()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'DataFrame' object has no attribute 'yr'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmean\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 3612\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3613\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3614\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3615\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3616\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: 'DataFrame' object has no attribute 'yr'" + ] + } + ], + "source": [ + "data.yr.astype(float).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -880,15 +925,16 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " Yr\n", + " Mn\n", + " Date\n", + " Date\n", + " CO2\n", + " seasonally\n", + " fit\n", + " seasonally\n", + " CO2\n", + " seasonally\n", " \n", " \n", " \n", @@ -898,55 +944,97 @@ ], "text/plain": [ "Empty DataFrame\n", - "Columns: [ ]\n", + "Columns: [ Yr, Mn, Date, Date, CO2, seasonally, fit, seasonally, CO2, seasonally]\n", "Index: []" ] }, - "execution_count": 4, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ - " raw_data[raw_data.isnull().any(axis=1)]" + "data[data.isnull().any(axis=1)]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On verifie la nature des colonnes présent dans le document" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On convertie le Yr et Mn de nature \"objet\" en nature de temps" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "def convert_week(yr_and_mn_int):\n", + " yr_and_mn_str = str(yr_and_mn_int)\n", + " yr = int()\n", + " mn = int()\n", + " w = isoweek.Week(year, mn)\n", + " return pd.Period(w.day(0), 'W')" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 13, "metadata": {}, "outputs": [ { - "ename": "KeyError", - "evalue": "'Excel'", + "ename": "AttributeError", + "evalue": "'DataFrame' object has no attribute 'yr'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 2524\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2525\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2526\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", - "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", - "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", - "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", - "\u001b[0;31mKeyError\u001b[0m: 'Excel'", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mraw_data\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'period'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mconvert_week\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0myw\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0myw\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mraw_data\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Excel'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 2137\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2138\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2139\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2140\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2141\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_getitem_column\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 2144\u001b[0m \u001b[0;31m# get column\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2145\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_unique\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2146\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_item_cache\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2147\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2148\u001b[0m \u001b[0;31m# duplicate columns & possible reduce dimensionality\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m_get_item_cache\u001b[0;34m(self, item)\u001b[0m\n\u001b[1;32m 1840\u001b[0m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1841\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mres\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1842\u001b[0;31m \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0misna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3843\u001b[0;31m \u001b[0mloc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3844\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3845\u001b[0m \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0misna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 2525\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2526\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2527\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2528\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2529\u001b[0m \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtolerance\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtolerance\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", - "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", - "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", - "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", - "\u001b[0;31mKeyError\u001b[0m: 'Excel'" + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'yr'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 3612\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3613\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3614\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3615\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3616\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: 'DataFrame' object has no attribute 'yr'" ] } ], "source": [ - "raw_data['period'] = [convert_week(yw) for yw in raw_data['Excel']]" + "data['yr'] = data.yr.astype(float)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data = data.rename(columns=\n", + " {'Date': 'dates'})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "data['date'] = pd.to_datetime(data['date'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data['period'] = [convert_week(yw) for yw in data['date']]" ] }, { diff --git a/module3/exo3/monthly_in_situ_co2_mlo.csv b/module3/exo3/monthly_in_situ_co2_mlo.csv new file mode 100644 index 0000000..be6bd2b --- /dev/null +++ b/module3/exo3/monthly_in_situ_co2_mlo.csv @@ -0,0 +1,774 @@ + + CO2 concentrations are measured on the '12' calibration scale + + Yr, Mn, Date, Date, CO2,seasonally, fit, seasonally, CO2, seasonally + , , , , , adjusted, ,adjusted fit, filled,adjusted filled + , , Excel, date, [ppm], [ppm] , [ppm], [ppm], [ppm], [ppm] +1958, 01, 21200, 1958.0411, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99 +1958, 02, 21231, 1958.1260, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99 +1958, 03, 21259, 1958.2027, 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42019, 2015.0411, 399.94, 399.90, 399.82, 399.76, 399.94, 399.90 +2015, 02, 42050, 2015.1260, 400.39, 399.64, 400.70, 399.93, 400.39, 399.64 +2015, 03, 42078, 2015.2027, 401.60, 400.07, 401.64, 400.10, 401.60, 400.07 +2015, 04, 42109, 2015.2877, 403.53, 400.76, 403.07, 400.29, 403.53, 400.76 +2015, 05, 42139, 2015.3699, 404.04, 400.67, 403.85, 400.49, 404.04, 400.67 +2015, 06, 42170, 2015.4548, 402.81, 400.26, 403.23, 400.71, 402.81, 400.26 +2015, 07, 42200, 2015.5370, 401.54, 400.73, 401.71, 400.94, 401.54, 400.73 +2015, 08, 42231, 2015.6219, 398.93, 400.45, 399.65, 401.20, 398.93, 400.45 +2015, 09, 42262, 2015.7068, 397.43, 400.88, 398.02, 401.49, 397.43, 400.88 +2015, 10, 42292, 2015.7890, 398.21, 401.80, 398.22, 401.79, 398.21, 401.80 +2015, 11, 42323, 2015.8740, 400.17, 402.42, 399.88, 402.10, 400.17, 402.42 +2015, 12, 42353, 2015.9562, 401.82, 402.74, 401.51, 402.41, 401.82, 402.74 +2016, 01, 42384, 2016.0410, 402.58, 402.53, 402.79, 402.73, 402.58, 402.53 +2016, 02, 42415, 2016.1257, 404.09, 403.34, 403.80, 403.04, 404.09, 403.34 +2016, 03, 42444, 2016.2049, 404.79, 403.23, 404.89, 403.31, 404.79, 403.23 +2016, 04, 42475, 2016.2896, 407.50, 404.70, 406.41, 403.59, 407.50, 404.70 +2016, 05, 42505, 2016.3716, 407.59, 404.21, 407.22, 403.84, 407.59, 404.21 +2016, 06, 42536, 2016.4563, 406.94, 404.41, 406.59, 404.08, 406.94, 404.41 +2016, 07, 42566, 2016.5383, 404.43, 403.66, 405.05, 404.31, 404.43, 403.66 +2016, 08, 42597, 2016.6230, 402.17, 403.72, 402.94, 404.53, 402.17, 403.72 +2016, 09, 42628, 2016.7077, 400.94, 404.42, 401.25, 404.75, 400.94, 404.42 +2016, 10, 42658, 2016.7896, 401.43, 405.02, 401.39, 404.96, 401.43, 405.02 +2016, 11, 42689, 2016.8743, 403.57, 405.82, 402.95, 405.17, 403.57, 405.82 +2016, 12, 42719, 2016.9563, 404.48, 405.40, 404.46, 405.37, 404.48, 405.40 +2017, 01, 42750, 2017.0411, 406.00, 405.96, 405.62, 405.56, 406.00, 405.96 +2017, 02, 42781, 2017.1260, 406.57, 405.81, 406.51, 405.74, 406.57, 405.81 +2017, 03, 42809, 2017.2027, 406.99, 405.45, 407.45, 405.89, 406.99, 405.45 +2017, 04, 42840, 2017.2877, 408.88, 406.10, 408.86, 406.06, 408.88, 406.10 +2017, 05, 42870, 2017.3699, 409.84, 406.46, 409.61, 406.22, 409.84, 406.46 +2017, 06, 42901, 2017.4548, 409.05, 406.49, 408.92, 406.38, 409.05, 406.49 +2017, 07, 42931, 2017.5370, 407.13, 406.32, 407.31, 406.53, 407.13, 406.32 +2017, 08, 42962, 2017.6219, 405.17, 406.70, 405.13, 406.69, 405.17, 406.70 +2017, 09, 42993, 2017.7068, 403.20, 406.68, 403.35, 406.85, 403.20, 406.68 +2017, 10, 43023, 2017.7890, 403.57, 407.18, 403.40, 407.00, 403.57, 407.18 +2017, 11, 43054, 2017.8740, 405.10, 407.36, 404.91, 407.15, 405.10, 407.36 +2017, 12, 43084, 2017.9562, 406.68, 407.61, 406.39, 407.30, 406.68, 407.61 +2018, 01, 43115, 2018.0411, 407.98, 407.93, 407.51, 407.45, 407.98, 407.93 +2018, 02, 43146, 2018.1260, 408.28, 407.52, 408.38, 407.60, 408.28, 407.52 +2018, 03, 43174, 2018.2027, 409.19, 407.65, 409.31, 407.75, 409.19, 407.65 +2018, 04, 43205, 2018.2877, 410.24, 407.45, 410.74, 407.93, 410.24, 407.45 +2018, 05, 43235, 2018.3699, 411.23, 407.84, 411.52, 408.13, 411.23, 407.84 +2018, 06, 43266, 2018.4548, 410.81, 408.25, 410.89, 408.35, 410.81, 408.25 +2018, 07, 43296, 2018.5370, 408.83, 408.02, 409.36, 408.58, 408.83, 408.02 +2018, 08, 43327, 2018.6219, 407.03, 408.56, 407.27, 408.84, 407.03, 408.56 +2018, 09, 43358, 2018.7068, 405.52, 409.01, 405.61, 409.11, 405.52, 409.01 +2018, 10, 43388, 2018.7890, 405.93, 409.54, 405.78, 409.38, 405.93, 409.54 +2018, 11, 43419, 2018.8740, 408.05, 410.31, 407.42, 409.66, 408.05, 410.31 +2018, 12, 43449, 2018.9562, 409.16, 410.09, 409.01, 409.92, 409.16, 410.09 +2019, 01, 43480, 2019.0411, 410.85, 410.80, 410.24, 410.17, 410.85, 410.80 +2019, 02, 43511, 2019.1260, 411.59, 410.83, 411.19, 410.42, 411.59, 410.83 +2019, 03, 43539, 2019.2027, 411.93, 410.38, 412.19, 410.63, 411.93, 410.38 +2019, 04, 43570, 2019.2877, 413.46, 410.67, 413.67, 410.86, 413.46, 410.67 +2019, 05, 43600, 2019.3699, 414.76, 411.35, 414.48, 411.07, 414.76, 411.35 +2019, 06, 43631, 2019.4548, 413.89, 411.32, 413.84, 411.29, 413.89, 411.32 +2019, 07, 43661, 2019.5370, 411.78, 410.97, 412.28, 411.50, 411.78, 410.97 +2019, 08, 43692, 2019.6219, 410.01, 411.55, 410.15, 411.72, 410.01, 411.55 +2019, 09, 43723, 2019.7068, 408.48, 411.98, 408.43, 411.94, 408.48, 411.98 +2019, 10, 43753, 2019.7890, 408.37, 411.99, 408.55, 412.16, 408.37, 411.99 +2019, 11, 43784, 2019.8740, 410.22, 412.49, 410.13, 412.38, 410.22, 412.49 +2019, 12, 43814, 2019.9562, 411.78, 412.71, 411.67, 412.58, 411.78, 412.71 +2020, 01, 43845, 2020.0410, 413.31, 413.26, 412.86, 412.80, 413.31, 413.26 +2020, 02, 43876, 2020.1257, 414.02, 413.26, 413.77, 413.00, 414.02, 413.26 +2020, 03, 43905, 2020.2049, 414.44, 412.87, 414.79, 413.19, 414.44, 412.87 +2020, 04, 43936, 2020.2896, 416.11, 413.28, 416.24, 413.39, 416.11, 413.28 +2020, 05, 43966, 2020.3716, 417.10, 413.68, 417.00, 413.59, 417.10, 413.68 +2020, 06, 43997, 2020.4563, 416.23, 413.68, 416.33, 413.80, 416.23, 413.68 +2020, 07, 44027, 2020.5383, 414.42, 413.63, 414.75, 414.01, 414.42, 413.63 +2020, 08, 44058, 2020.6230, 412.52, 414.09, 412.61, 414.22, 412.52, 414.09 +2020, 09, 44089, 2020.7077, 411.19, 414.70, 410.91, 414.44, 411.19, 414.70 +2020, 10, 44119, 2020.7896, 411.15, 414.78, 411.04, 414.66, 411.15, 414.78 +2020, 11, 44150, 2020.8743, 412.88, 415.15, 412.64, 414.88, 412.88, 415.15 +2020, 12, 44180, 2020.9563, 413.89, 414.82, 414.19, 415.10, 413.89, 414.82 +2021, 01, 44211, 2021.0411, 415.16, 415.11, 415.39, 415.33, 415.16, 415.11 +2021, 02, 44242, 2021.1260, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99 +2021, 03, 44270, 2021.2027, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99 +2021, 04, 44301, 2021.2877, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99 +2021, 05, 44331, 2021.3699, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99 +2021, 06, 44362, 2021.4548, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99 +2021, 07, 44392, 2021.5370, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99 +2021, 08, 44423, 2021.6219, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99 +2021, 09, 44454, 2021.7068, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99 +2021, 10, 44484, 2021.7890, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99 +2021, 11, 44515, 2021.8740, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99 +2021, 12, 44545, 2021.9562, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99 -- 2.18.1