8000 Adding tests for IntervalArray.unique() for DateTimeArrays with time zones by Dr-Irv · Pull Request #46153 · pandas-dev/pandas · GitHub
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Adding tests for IntervalArray.unique() for DateTimeArrays with time zones #46153

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Merged
merged 13 commits into from
Feb 26, 2022
Merged

Adding tests for IntervalArray.unique() for DateTimeArrays with time zones #46153

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9e57d6d
fix column_arrays for array manager
Dr-Irv Dec 21, 2021
2abbc57
merge with upstream/main
Dr-Irv Jan 15, 2022
99158b1
Merge remote-tracking branch 'upstream/main'
Dr-Irv Jan 24, 2022
0f4130d
Merge remote-tracking branch 'upstream/main'
Dr-Irv Feb 4, 2022
24ecfe2
Merge remote-tracking branch 'upstream/main'
Dr-Irv Feb 8, 2022
64f00d5
Merge remote-tracking branch 'upstream/main'
Dr-Irv Feb 9, 2022
1ee6e00
Merge remote-tracking branch 'upstream/main'
Dr-Irv Feb 19, 2022
5761bf2
Merge remote-tracking branch 'upstream/main'
Dr-Irv Feb 23, 2022
84b119f
remove dead code in arrays/interval.py
Dr-Irv Feb 23, 2022
5232375
Merge remote-tracking branch 'upstream/main'
Dr-Irv Feb 25, 2022
64feddd
Undo Revert "remove dead code in arrays/interval.py"
Dr-Irv Feb 25, 2022
fa8c333
Adding tests for IntervalArray.unique() for DateTimeArrays with time …
Dr-Irv Feb 25, 2022
a517e3e
move tests to series/methods/test_unique
Dr-Irv Feb 26, 2022
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Adding tests for IntervalArray.unique() for DateTimeArrays with time … 
…zones
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@Dr-Irv
Dr-Irv committed Feb 25, 2022
commit fa8c3338239d57f9ba70128ff882a47b04326197
15 changes: 15 additions & 0 deletions pandas/tests/arrays/interval/test_interval.py
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Expand Up @@ -376,3 +376,18 @@ def test_arrow_table_roundtrip_without_metadata(breaks):
result = table.to_pandas()
assert isinstance(result["a"].dtype, pd.IntervalDtype)
tm.assert_frame_equal(result, df)


def test_tz_unique():
# GH 46128
dti1 = date_range("2016-01-01", periods=3)
ii1 = IntervalIndex.from_breaks(dti1)
ser1 = pd.Series(ii1)
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can you either put this in the series tests or test the array method directly. ideally do a tm.assert_foo_equal below, should be easy bc .unique matches self in these cases

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OK, moved to series tests in next commit.

uni1 = ser1.unique()

dti2 = date_range("2016-01-01", periods=3, tz="US/Eastern")
ii2 = IntervalIndex.from_breaks(dti2)
ser2 = pd.Series(ii2)
uni2 = ser2.unique()

assert uni1.dtype != uni2.dtype
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