8000 BUG:Time Grouper bug fix when applied for list groupers by ruiann · Pull Request #17587 · pandas-dev/pandas · GitHub
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BUG:Time Grouper bug fix when applied for list groupers #17587

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Merged
merged 10 commits into from
Oct 1, 2017
Merged

BUG:Time Grouper bug fix when applied for list groupers #17587

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6838d9c
use grouper if given the list if grouper
ruiann Sep 18, 2017
66febe4
BinGrouper holds the sorted binners, give the indexer to reorder axis…
ruiann Sep 19, 2017
0ff386f
PEP8 fix
ruiann Sep 19, 2017
00a18e3
PEP8 & comment
ruiann Sep 20, 2017
cc1a4ac
comment
ruiann Sep 22, 2017
6927207
new method for BaseGrouper and inherited class
ruiann Sep 25, 2017
3ce56bd
comment
ruiann Sep 26, 2017
737c00e
move test to test time grouper
ruiann Sep 28, 2017
b868cbc
update whatsnew entry
ruiann Sep 29, 2017
950de20
fixups
jreback Oct 1, 2017
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move test to test time grouper
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@ruiann @jreback
ruiann authored and jreback committed Oct 1, 2017
commit 737c00ee783cfd1c5169a149ca2b56444f4b50e0
17 changes: 17 additions & 0 deletions pandas/tests/groupby/test_timegrouper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -623,3 +623,20 @@ def test_nunique_with_timegrouper_and_nat(self):
result = test.groupby(grouper)['data'].nunique()
expected = test[test.time.notnull()].groupby(grouper)['data'].nunique()
tm.assert_series_equal(result, expected)

def test_scalar_call_versus_list_call(self):
# Issue: 17530
data_frame = {
'location': ['shanghai', 'beijing', 'shanghai'],
'time': pd.Series(['2017-08-09 13:32:23', '2017-08-11 23:23:15',
'2017-08-11 22:23:15'],
dtype='datetime64[ns]'),
'value': [1, 2, 3]
}
data_frame = pd.DataFrame(data_frame).set_index('time')
grouper = pd.TimeGrouper('D')
grouped = data_frame.groupby(grouper)
data1 = grouped.count()
grouped = data_frame.groupby([grouper])
data2 = grouped.count()
assert_frame_equal(data1, data2)
17 changes: 0 additions & 17 deletions pandas/tests/test_resample.py
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Expand Up @@ -3380,20 +3380,3 @@ def test_aggregate_with_nat(self):

# if NaT is included, 'var', 'std', 'mean', 'first','last'
# and 'nth' doesn't work yet

# Issue: 17530
def test_scalar_call_versus_list_call(self):
data_frame = {
'location': ['shanghai', 'beijing', 'shanghai'],
'time': pd.Series(['2017-08-09 13:32:23', '2017-08-11 23:23:15',
'2017-08-11 22:23:15'],
dtype='datetime64[ns]'),
'value': [1, 2, 3]
}
data_frame = pd.DataFrame(data_frame).set_index('time')
grouper = TimeGrouper('D')
grouped = data_frame.groupby(grouper)
data1 = grouped.count()
grouped = data_frame.groupby([grouper])
data2 = grouped.count()
assert_frame_equal(data1, data2)
0