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PERF: fix regression in creation of resulting index in RollingGroupby #38057

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Merged
merged 11 commits into from
Dec 1, 2020
Merged

PERF: fix regression in creation of resulting index in RollingGroupby #38057

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PERF: fix regression in creation of resulting index in RollingGroupby
jorisvandenbossche Nov 25, 2020
30fb295
Merge remote-tracking branch 'upstream/master' into perf-rolling-groupby
jorisvandenbossche Nov 30, 2020
fd9991c
add specific benchmark
jorisvandenbossche Nov 30, 2020
413d701
rename benchmark
jorisvandenbossche Nov 30, 2020
f785ca4
update test_groupby_rolling_nan_included
jorisvandenbossche Nov 30, 2020
19c9d3e
add more tests specifically about resulting MI
jorisvandenbossche Nov 30, 2020
062e298
add comment + simplify
jorisvandenbossche Nov 30, 2020
4546fd7
update test_groupby_rolling_empty_frame test - change dtypes of expec…
jorisvandenbossche Nov 30, 2020
9e9c8de
add whatsnew
jorisvandenbossche Nov 30, 2020
cf64f20
cleanup test
jorisvandenbossche Nov 30, 2020
485f399
simplify
jorisvandenbossche Dec 1, 2020
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cleanup test
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@jorisvandenbossche
jorisvandenbossche committed Nov 30, 2020
commit cf64f2091413a10832fdf0ce2e07f33284982b0c
5 changes: 2 additions & 3 deletions pandas/tests/window/test_groupby.py
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Original file line number Diff line number Diff line change
Expand Up @@ -426,16 +426,15 @@ def test_groupby_rolling_empty_frame(self):
# GH 36197
expected = DataFrame({"s1": []})
result = expected.groupby("s1").rolling(window=1).sum()
# GH-38057 from_tupes gives empty object dtype, we now get float/int levels
# expected.index = MultiIndex.from_product([[], []], names=["s1", None])
# GH-38057 from_tuples gives empty object dtype, we now get float/int levels
# expected.index = MultiIndex.from_tuples([], names=["s1", None])
expected.index = MultiIndex.from_product(
[Index([], dtype="float64"), Index([], dtype="int64")], names=["s1", None]
)
tm.assert_frame_equal(result, expected)

expected = DataFrame({"s1": [], "s2": []})
result = expected.groupby(["s1", "s2"]).rolling(window=1).sum()
# expected.index = MultiIndex.from_tuples([], names=["s1", "s2", None])
expected.index = MultiIndex.from_product(
[
Index([], dtype="float64"),
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