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Update data
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@palewire
palewire committed Mar 14, 2023
1 parent 785a3eb commit 73ca94b
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Showing 6 changed files with 415 additions and 448 deletions.
843 changes: 405 additions & 438 deletions Pipfile.lock
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2 changes: 1 addition & 1 deletion notebooks/cpi-mom.csv
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@@ -1,5 +1,4 @@
date,pct_change,pct_change_rounded
2022-01-01,0.6094977695656922,0.6
2022-02-01,0.7116090290482324,0.7
2022-03-01,1.0055865921787532,1.0
2022-04-01,0.3962125006957251,0.4
Expand All @@ -12,3 +11,4 @@ date,pct_change,pct_change_rounded
2022-11-01,0.20504250185411355,0.2
2022-12-01,0.1312801827205723,0.1
2023-01-01,0.517074149637109,0.5
2023-02-01,0.3700055900125232,0.4
2 changes: 1 addition & 1 deletion notebooks/latest.json
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@@ -1 +1 @@
{"all": {"latest_month": "2023-01-01", "latest_change": 0.5, "previous_month": "2022-12-01", "previous_change": 0.1}, "food": {"latest_month": "2023-01-01", "latest_change": 0.5, "previous_month": "2022-12-01", "previous_change": 0.4}, "energy": {"latest_month": "2023-01-01", "latest_change": 2.0, "previous_month": "2022-12-01", "previous_change": -3.1}, "less_food_and_energy": {"latest_month": "2023-01-01", "latest_change": 0.4, "previous_month": "2022-12-01", "previous_change": 0.4}, "yoy_change": 6.4}
{"all": {"latest_month": "2023-02-01", "latest_change": 0.4, "previous_month": "2023-01-01", "previous_change": 0.5}, "food": {"latest_month": "2023-02-01", "latest_change": 0.4, "previous_month": "2023-01-01", "previous_change": 0.5}, "energy": {"latest_month": "2023-02-01", "latest_change": -0.6, "previous_month": "2023-01-01", "previous_change": 2.0}, "less_food_and_energy": {"latest_month": "2023-02-01", "latest_change": 0.5, "previous_month": "2023-01-01", "previous_change": 0.4}, "yoy_change": 6.0}
6 changes: 3 additions & 3 deletions notebooks/three-categories-yoy.csv
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@@ -1,5 +1,4 @@
year,date,value,series_id,series_title,series_survey,series_seasonally_adjusted,series_periodicity_id,series_periodicity_code,series_periodicity_name,series_area_id,series_area_code,series_area_name,series_items_id,series_items_code,series_items_name,period_id,period_code,period_abbreviation,period_name,period_month,period_type,pct_change
2013,2013-02-01,232.166,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M02,M02,FEB,February,2,monthly,0.019779235097490577
2013,2013-03-01,232.773,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M03,M03,MAR,March,3,monthly,0.014738962125967703
2013,2013-04-01,232.531,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M04,M04,APR,April,4,monthly,0.010630853814894481
2013,2013-05-01,232.945,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M05,M05,MAY,May,5,monthly,0.013619650588516885
Expand Down Expand Up @@ -119,7 +118,7 @@ year,date,value,series_id,series_title,series_survey,series_seasonally_adjusted,
2022,2022-11-01,297.711,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M11,M11,NOV,November,11,monthly,0.07110322794191726
2022,2022-12-01,296.797,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M12,M12,DEC,December,12,monthly,0.0645440133141082
2023,2023-01-01,299.17,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M01,M01,JAN,January,1,monthly,0.06410146968856267
2013,2013-02-01,248.146,CUUR0000SA0E,"Energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0E,SA0E,Energy,M02,M02,FEB,February,2,monthly,0.02259512162958499
2023,2023-02-01,300.84,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M02,M02,FEB,February,2,monthly,0.06035613077866597
2013,2013-03-01,249.565,CUUR0000SA0E,"Energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0E,SA0E,Energy,M03,M03,MAR,March,3,monthly,-0.01590700278786583
2013,2013-04-01,244.757,CUUR0000SA0E,"Energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0E,SA0E,Energy,M04,M04,APR,April,4,monthly,-0.04293099133481393
2013,2013-05-01,247.805,CUUR0000SA0E,"Energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0E,SA0E,Energy,M05,M05,MAY,May,5,monthly,-0.009991770073430106
Expand Down Expand Up @@ -239,7 +238,7 @@ year,date,value,series_id,series_title,series_survey,series_seasonally_adjusted,
2022,2022-11-01,292.953,CUUR0000SA0E,"Energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0E,SA0E,Energy,M11,M11,NOV,November,11,monthly,0.13065611732921623
2022,2022-12-01,274.937,CUUR0000SA0E,"Energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0E,SA0E,Energy,M12,M12,DEC,December,12,monthly,0.07310495029409814
2023,2023-01-01,283.33,CUUR0000SA0E,"Energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0E,SA0E,Energy,M01,M01,JAN,January,1,monthly,0.08700072510195533
2013,2013-02-01,236.301,CUUR0000SAF1,"Food in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SAF1,SAF1,Food,M02,M02,FEB,February,2,monthly,0.016409590254897077
2023,2023-02-01,281.673,CUUR0000SA0E,"Energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0E,SA0E,Energy,M02,M02,FEB,February,2,monthly,0.05191749666692802
2013,2013-03-01,236.332,CUUR0000SAF1,"Food in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SAF1,SAF1,Food,M03,M03,MAR,March,3,monthly,0.01520670813430014
2013,2013-04-01,236.841,CUUR0000SAF1,"Food in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SAF1,SAF1,Food,M04,M04,APR,April,4,monthly,0.01546515516605651
2013,2013-05-01,236.526,CUUR0000SAF1,"Food in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SAF1,SAF1,Food,M05,M05,MAY,May,5,monthly,0.013658239728463695
Expand Down Expand Up @@ -359,3 +358,4 @@ year,date,value,series_id,series_title,series_survey,series_seasonally_adjusted,
2022,2022-11-01,315.857,CUUR0000SAF1,"Food in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SAF1,SAF1,Food,M11,M11,NOV,November,11,monthly,0.10630212218964874
2022,2022-12-01,316.839,CUUR0000SAF1,"Food in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SAF1,SAF1,Food,M12,M12,DEC,December,12,monthly,0.10409944035181873
2023,2023-01-01,319.136,CUUR0000SAF1,"Food in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SAF1,SAF1,Food,M01,M01,JAN,January,1,monthly,0.10133484256587955
2023,2023-02-01,320.569,CUUR0000SAF1,"Food in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SAF1,SAF1,Food,M02,M02,FEB,February,2,monthly,0.09486191656932874
4 changes: 2 additions & 2 deletions notebooks/two-categories-yoy.csv
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@@ -1,5 +1,4 @@
year,date,value,series_id,series_title,series_survey,series_seasonally_adjusted,series_periodicity_id,series_periodicity_code,series_periodicity_name,series_area_id,series_area_code,series_area_name,series_items_id,series_items_code,series_items_name,period_id,period_code,period_abbreviation,period_name,period_month,period_type,pct_change
2022,2022-01-01,281.148,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M01,M01,JAN,January,1,monthly,0.07479872468289117
2022,2022-02-01,283.716,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M02,M02,FEB,February,2,monthly,0.07871063897739283
2022,2022-03-01,287.504,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M03,M03,MAR,March,3,monthly,0.08542455554842432
2022,2022-04-01,289.109,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M04,M04,APR,April,4,monthly,0.08258629340882373
Expand All @@ -12,7 +11,7 @@ year,date,value,series_id,series_title,series_survey,series_seasonally_adjusted,
2022,2022-11-01,297.711,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M11,M11,NOV,November,11,monthly,0.07110322794191726
2022,2022-12-01,296.797,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M12,M12,DEC,December,12,monthly,0.0645440133141082
2023,2023-01-01,299.17,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M01,M01,JAN,January,1,monthly,0.06410146968856267
2022,2022-01-01,285.996,CUUR0000SA0L1E,"All items less food and energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0L1E,SA0L1E,All items less food and energy,M01,M01,JAN,January,1,monthly,0.06020648366109982
2023,2023-02-01,300.84,CUUR0000SA0,"All items in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0,SA0,All items,M02,M02,FEB,February,2,monthly,0.06035613077866597
2022,2022-02-01,288.059,CUUR0000SA0L1E,"All items less food and energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0L1E,SA0L1E,All items less food and energy,M02,M02,FEB,February,2,monthly,0.06414206342169804
2022,2022-03-01,289.305,CUUR0000SA0L1E,"All items less food and energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0L1E,SA0L1E,All items less food and energy,M03,M03,MAR,March,3,monthly,0.0647447858586081
2022,2022-04-01,290.846,CUUR0000SA0L1E,"All items less food and energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0L1E,SA0L1E,All items less food and energy,M04,M04,APR,April,4,monthly,0.06160573497634747
Expand All @@ -25,3 +24,4 @@ year,date,value,series_id,series_title,series_survey,series_seasonally_adjusted,
2022,2022-11-01,299.6,CUUR0000SA0L1E,"All items less food and energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0L1E,SA0L1E,All items less food and energy,M11,M11,NOV,November,11,monthly,0.05957829066962805
2022,2022-12-01,300.113,CUUR0000SA0L1E,"All items less food and energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0L1E,SA0L1E,All items less food and energy,M12,M12,DEC,December,12,monthly,0.0570783493244289
2023,2023-01-01,301.962,CUUR0000SA0L1E,"All items less food and energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0L1E,SA0L1E,All items less food and energy,M01,M01,JAN,January,1,monthly,0.055825955607770705
2023,2023-02-01,304.011,CUUR0000SA0L1E,"All items less food and energy in U.S. city average, all urban consumers, not seasonally adjusted",All urban consumers,False,R,R,Monthly,0000,0000,U.S. city average,SA0L1E,SA0L1E,All items less food and energy,M02,M02,FEB,February,2,monthly,0.05537754418365681
6 changes: 3 additions & 3 deletions tests.py
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Expand Up @@ -20,9 +20,9 @@ class BaseCPITest(unittest.TestCase):
LATEST_YEAR = 2022
LATEST_YEAR_1950_ALL_ITEMS = 1214.3360995850621
LATEST_YEAR_1950_CUSR0000SA0 = 1214.3360995850621
LATEST_MONTH = date(2023, 1, 1)
LATEST_MONTH_1950_ALL_ITEMS = 1273.063829787234
LATEST_MONTH_1950_CUSR0000SA0 = 1278.3326244151424
LATEST_MONTH = date(2023, 2, 1)
LATEST_MONTH_1950_ALL_ITEMS = 1280.1702127659573
LATEST_MONTH_1950_CUSR0000SA0 = 1283.0625265844321


class CPITest(BaseCPITest):
Expand Down

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