From 914acd91010c5b3c92c3e7fea64e6f4db4670666 Mon Sep 17 00:00:00 2001 From: 8d8f65243a3005308e219351e328782f <8d8f65243a3005308e219351e328782f@app-learninglab.inria.fr> Date: Wed, 15 Apr 2020 20:04:10 +0000 Subject: [PATCH] Update --- module2/exo1/Tutoriel_module3.ipynb | 1150 ++++++++++++++++++++++++++- 1 file changed, 1146 insertions(+), 4 deletions(-) diff --git a/module2/exo1/Tutoriel_module3.ipynb b/module2/exo1/Tutoriel_module3.ipynb index 3bd2467..f20a375 100644 --- a/module2/exo1/Tutoriel_module3.ipynb +++ b/module2/exo1/Tutoriel_module3.ipynb @@ -1007,7 +1007,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 3, "metadata": { "hideCode": true, "hidePrompt": true @@ -1072,7 +1072,7 @@ "1612 FR France " ] }, - "execution_count": 6, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -1093,7 +1093,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -2058,7 +2058,7 @@ "[1848 rows x 10 columns]" ] }, - "execution_count": 9, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -2077,6 +2077,1148 @@ }, "outputs": [], "source": [] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "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": 11, + "metadata": {}, + "outputs": [], + "source": [ + "data['period']=[convert_week(yw) for yw in data['week']]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_data = data.set_index('period').sort_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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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
.................................
2019-09-09/2019-09-15201937331721367.04977.052.08.0FRFrance
2019-09-16/2019-09-22201938348972891.06903.074.010.0FRFrance
2019-09-23/2019-09-29201939370914462.09720.0117.015.0FRFrance
2019-09-30/2019-10-06201940385055784.011226.0139.017.0FRFrance
2019-10-07/2019-10-13201941371224720.09524.0117.015.0FRFrance
2019-10-14/2019-10-20201942377475243.010251.0128.016.0FRFrance
2019-10-21/2019-10-27201943394876448.012526.0149.019.0FRFrance
2019-10-28/2019-11-03201944378225010.010634.0128.016.0FRFrance
2019-11-04/2019-11-102019453101387160.013116.01510.020.0FRFrance
2019-11-11/2019-11-1720194631603012567.019493.02419.029.0FRFrance
2019-11-18/2019-11-2420194731866914759.022579.02822.034.0FRFrance
2019-11-25/2019-12-0120194832236718055.026679.03427.041.0FRFrance
2019-12-02/2019-12-0820194932566221414.029910.03933.045.0FRFrance
2019-12-09/2019-12-1520195033422329156.039290.05244.060.0FRFrance
2019-12-16/2019-12-2220195132978625042.034530.04538.052.0FRFrance
2019-12-23/2019-12-2920195232813523220.033050.04336.050.0FRFrance
2019-12-30/2020-01-0520200133685031608.042092.05648.064.0FRFrance
2020-01-06/2020-01-1220200235361447654.059574.08172.090.0FRFrance
2020-01-13/2020-01-1920200337841371330.085496.0119108.0130.0FRFrance
2020-01-20/2020-01-262020043122331113492.0131170.0186173.0199.0FRFrance
2020-01-27/2020-02-022020053187957177445.0198469.0285269.0301.0FRFrance
2020-02-03/2020-02-092020063206669195481.0217857.0314297.0331.0FRFrance
2020-02-10/2020-02-162020073183610172812.0194408.0279263.0295.0FRFrance
2020-02-17/2020-02-232020083143753133984.0153522.0218203.0233.0FRFrance
2020-02-24/2020-03-012020093110696102066.0119326.0168155.0181.0FRFrance
2020-03-02/2020-03-08202010310497796650.0113304.0159146.0172.0FRFrance
2020-03-09/2020-03-15202011310170493652.0109756.0154142.0166.0FRFrance
2020-03-16/2020-03-22202012383215873.010769.0139.017.0FRFrance
2020-03-23/2020-03-29202013300.00.000.00.0FRFrance
2020-03-30/2020-04-05202014300.00.000.00.0FRFrance
\n", + "

1848 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", + "2019-09-09/2019-09-15 201937 3 3172 1367.0 4977.0 5 \n", + "2019-09-16/2019-09-22 201938 3 4897 2891.0 6903.0 7 \n", + "2019-09-23/2019-09-29 201939 3 7091 4462.0 9720.0 11 \n", + "2019-09-30/2019-10-06 201940 3 8505 5784.0 11226.0 13 \n", + "2019-10-07/2019-10-13 201941 3 7122 4720.0 9524.0 11 \n", + "2019-10-14/2019-10-20 201942 3 7747 5243.0 10251.0 12 \n", + "2019-10-21/2019-10-27 201943 3 9487 6448.0 12526.0 14 \n", + "2019-10-28/2019-11-03 201944 3 7822 5010.0 10634.0 12 \n", + "2019-11-04/2019-11-10 201945 3 10138 7160.0 13116.0 15 \n", + "2019-11-11/2019-11-17 201946 3 16030 12567.0 19493.0 24 \n", + "2019-11-18/2019-11-24 201947 3 18669 14759.0 22579.0 28 \n", + "2019-11-25/2019-12-01 201948 3 22367 18055.0 26679.0 34 \n", + "2019-12-02/2019-12-08 201949 3 25662 21414.0 29910.0 39 \n", + "2019-12-09/2019-12-15 201950 3 34223 29156.0 39290.0 52 \n", + "2019-12-16/2019-12-22 201951 3 29786 25042.0 34530.0 45 \n", + "2019-12-23/2019-12-29 201952 3 28135 23220.0 33050.0 43 \n", + "2019-12-30/2020-01-05 202001 3 36850 31608.0 42092.0 56 \n", + "2020-01-06/2020-01-12 202002 3 53614 47654.0 59574.0 81 \n", + "2020-01-13/2020-01-19 202003 3 78413 71330.0 85496.0 119 \n", + "2020-01-20/2020-01-26 202004 3 122331 113492.0 131170.0 186 \n", + "2020-01-27/2020-02-02 202005 3 187957 177445.0 198469.0 285 \n", + "2020-02-03/2020-02-09 202006 3 206669 195481.0 217857.0 314 \n", + "2020-02-10/2020-02-16 202007 3 183610 172812.0 194408.0 279 \n", + "2020-02-17/2020-02-23 202008 3 143753 133984.0 153522.0 218 \n", + "2020-02-24/2020-03-01 202009 3 110696 102066.0 119326.0 168 \n", + "2020-03-02/2020-03-08 202010 3 104977 96650.0 113304.0 159 \n", + "2020-03-09/2020-03-15 202011 3 101704 93652.0 109756.0 154 \n", + "2020-03-16/2020-03-22 202012 3 8321 5873.0 10769.0 13 \n", + "2020-03-23/2020-03-29 202013 3 0 0.0 0.0 0 \n", + "2020-03-30/2020-04-05 202014 3 0 0.0 0.0 0 \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", + "2019-09-09/2019-09-15 2.0 8.0 FR France \n", + "2019-09-16/2019-09-22 4.0 10.0 FR France \n", + "2019-09-23/2019-09-29 7.0 15.0 FR France \n", + "2019-09-30/2019-10-06 9.0 17.0 FR France \n", + "2019-10-07/2019-10-13 7.0 15.0 FR France \n", + "2019-10-14/2019-10-20 8.0 16.0 FR France \n", + "2019-10-21/2019-10-27 9.0 19.0 FR France \n", + "2019-10-28/2019-11-03 8.0 16.0 FR France \n", + "2019-11-04/2019-11-10 10.0 20.0 FR France \n", + "2019-11-11/2019-11-17 19.0 29.0 FR France \n", + "2019-11-18/2019-11-24 22.0 34.0 FR France \n", + "2019-11-25/2019-12-01 27.0 41.0 FR France \n", + "2019-12-02/2019-12-08 33.0 45.0 FR France \n", + "2019-12-09/2019-12-15 44.0 60.0 FR France \n", + "2019-12-16/2019-12-22 38.0 52.0 FR France \n", + "2019-12-23/2019-12-29 36.0 50.0 FR France \n", + "2019-12-30/2020-01-05 48.0 64.0 FR France \n", + "2020-01-06/2020-01-12 72.0 90.0 FR France \n", + "2020-01-13/2020-01-19 108.0 130.0 FR France \n", + "2020-01-20/2020-01-26 173.0 199.0 FR France \n", + "2020-01-27/2020-02-02 269.0 301.0 FR France \n", + "2020-02-03/2020-02-09 297.0 331.0 FR France \n", + "2020-02-10/2020-02-16 263.0 295.0 FR France \n", + "2020-02-17/2020-02-23 203.0 233.0 FR France \n", + "2020-02-24/2020-03-01 155.0 181.0 FR France \n", + "2020-03-02/2020-03-08 146.0 172.0 FR France \n", + "2020-03-09/2020-03-15 142.0 166.0 FR France \n", + "2020-03-16/2020-03-22 9.0 17.0 FR France \n", + "2020-03-23/2020-03-29 0.0 0.0 FR France \n", + "2020-03-30/2020-04-05 0.0 0.0 FR France \n", + "\n", + "[1848 rows x 10 columns]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sorted_data" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "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": {}, + "source": [ + "Semaine 19" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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