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Updated data
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@palewire
palewire committed Jul 14, 2022
1 parent d547f79 commit b42d30e
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Showing 5 changed files with 10 additions and 10 deletions.
2 changes: 1 addition & 1 deletion notebooks/cpi-mom.csv
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date,pct_change,pct_change_rounded
2021-05-01,0.7018412084266012,0.7
2021-06-01,0.8771439953238813,0.9
2021-07-01,0.4535808529091634,0.5
2021-08-01,0.33359786027098437,0.3
Expand All @@ -12,3 +11,4 @@ date,pct_change,pct_change_rounded
2022-03-01,1.2407541645846676,1.2
2022-04-01,0.3319337661795929,0.3
2022-05-01,0.9737998981511176,1.0
2022-06-01,1.3222448657513208,1.3
2 changes: 1 addition & 1 deletion notebooks/latest.json
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{"all": {"latest_month": "2022-05-01", "latest_change": 1.0, "previous_month": "2022-04-01", "previous_change": 0.3}, "food": {"latest_month": "2022-05-01", "latest_change": 1.2, "previous_month": "2022-04-01", "previous_change": 0.9}, "energy": {"latest_month": "2022-05-01", "latest_change": 3.9, "previous_month": "2022-04-01", "previous_change": -2.7}, "less_food_and_energy": {"latest_month": "2022-05-01", "latest_change": 0.6, "previous_month": "2022-04-01", "previous_change": 0.6}, "yoy_change": 8.6}
{"all": {"latest_month": "2022-06-01", "latest_change": 1.3, "previous_month": "2022-05-01", "previous_change": 1.0}, "food": {"latest_month": "2022-06-01", "latest_change": 1.0, "previous_month": "2022-05-01", "previous_change": 1.2}, "energy": {"latest_month": "2022-06-01", "latest_change": 7.5, "previous_month": "2022-05-01", "previous_change": 3.9}, "less_food_and_energy": {"latest_month": "2022-06-01", "latest_change": 0.7, "previous_month": "2022-05-01", "previous_change": 0.6}, "yoy_change": 9.1}
6 changes: 3 additions & 3 deletions notebooks/three-categories-yoy.csv
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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
2012,2012-06-01,229.478,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,M06,M06,JUN,June,6,monthly,0.016639937622385137
2012,2012-07-01,229.104,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,M07,M07,JUL,July,7,monthly,0.014084507042253502
2012,2012-08-01,230.379,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,M08,M08,AUG,August,8,monthly,0.01692378997550148
2012,2012-09-01,231.407,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,M09,M09,SEP,September,9,monthly,0.01991282080664991
Expand Down Expand Up @@ -119,7 +118,7 @@ year,date,value,series_id,series_title,series_survey,series_seasonally_adjusted,
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
2022,2022-05-01,292.296,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,0.08581511543676523
2012,2012-06-01,244.167,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,M06,M06,JUN,June,6,monthly,-0.03935554943541719
2022,2022-06-01,296.311,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,M06,M06,JUN,June,6,monthly,0.09059757964784154
2012,2012-07-01,239.972,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,M07,M07,JUL,July,7,monthly,-0.05022144296112174
2012,2012-08-01,250.306,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,M08,M08,AUG,August,8,monthly,-0.005562044607597683
2012,2012-09-01,256.332,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,M09,M09,SEP,September,9,monthly,0.023363142765889577
Expand Down Expand Up @@ -239,7 +238,7 @@ year,date,value,series_id,series_title,series_survey,series_seasonally_adjusted,
2022,2022-03-01,298.246,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,0.32048472290479535
2022,2022-04-01,298.469,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,0.30269819654672725
2022,2022-05-01,316.761,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,0.34597750479096123
2012,2012-06-01,233.563,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,M06,M06,JUN,June,6,monthly,0.02728272343420124
2022,2022-06-01,340.917,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,M06,M06,JUN,June,6,monthly,0.41623878364905265
2012,2012-07-01,233.63,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,M07,M07,JUL,July,7,monthly,0.023274759543790102
2012,2012-08-01,234.156,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,M08,M08,AUG,August,8,monthly,0.02004757050628614
2012,2012-09-01,234.298,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,M09,M09,SEP,September,9,monthly,0.016155404145324903
Expand Down Expand Up @@ -359,3 +358,4 @@ year,date,value,series_id,series_title,series_survey,series_seasonally_adjusted,
2022,2022-03-01,295.728,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,0.08798728532956601
2022,2022-04-01,298.711,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,0.09381888754623025
2022,2022-05-01,302.038,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,0.10147623007016482
2022,2022-06-01,305.041,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,M06,M06,JUN,June,6,monthly,0.10439671839134546
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
2021,2021-05-01,269.195,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,0.04992706537594471
2021,2021-06-01,271.696,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,M06,M06,JUN,June,6,monthly,0.053914514133213354
2021,2021-07-01,273.003,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,M07,M07,JUL,July,7,monthly,0.05365475239385398
2021,2021-08-01,273.567,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,M08,M08,AUG,August,8,monthly,0.05251271554874992
Expand All @@ -12,7 +11,7 @@ year,date,value,series_id,series_title,series_survey,series_seasonally_adjusted,
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
2022,2022-05-01,292.296,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,0.08581511543676523
2021,2021-05-01,275.893,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,M05,M05,MAY,May,5,monthly,0.03797606462025804
2022,2022-06-01,296.311,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,M06,M06,JUN,June,6,monthly,0.09059757964784154
2021,2021-06-01,278.218,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,M06,M06,JUN,June,6,monthly,0.04474619041539296
2021,2021-07-01,279.146,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,M07,M07,JUL,July,7,monthly,0.042745131731807495
2021,2021-08-01,279.507,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,M08,M08,AUG,August,8,monthly,0.04000282784384357
Expand All @@ -25,3 +24,4 @@ year,date,value,series_id,series_title,series_survey,series_seasonally_adjusted,
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
2022,2022-05-01,292.506,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,M05,M05,MAY,May,5,monthly,0.060215373351262924
2022,2022-06-01,294.68,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,M06,M06,JUN,June,6,monthly,0.0591694282900459
6 changes: 3 additions & 3 deletions tests.py
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Expand Up @@ -20,9 +20,9 @@ class BaseCPITest(unittest.TestCase):
LATEST_YEAR = 2021
LATEST_YEAR_1950_ALL_ITEMS = 1124.3568464730292
LATEST_YEAR_1950_CUSR0000SA0 = 1124.3568464730292
LATEST_MONTH = date(2022, 5, 1)
LATEST_MONTH_1950_ALL_ITEMS = 1243.8127659574468
LATEST_MONTH_1950_CUSR0000SA0 = 1239.7873245427477
LATEST_MONTH = date(2022, 6, 1)
LATEST_MONTH_1950_ALL_ITEMS = 1260.8978723404255
LATEST_MONTH_1950_CUSR0000SA0 = 1256.1803487877496


class CPITest(BaseCPITest):
Expand Down

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