BUG: Fix agg ingore arg/kwargs when given list like func #50863
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rhshadrach
reviewed
Jan 20, 2023
|
cc @rhshadrach, I've reworked the implementation, any suggestions for improvement? |
rhshadrach
requested changes
Jan 29, 2023
rhshadrach
requested changes
Feb 3, 2023
rhshadrach
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Feb 8, 2023
rhshadrach
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Feb 11, 2023
| def test__dataframe_groupy_agg_list_like_func_with_args(): | ||
| # GH 50624 | ||
| df = DataFrame({"x": [1, 2, 3], "y": ["a", "b", "c"]}) | ||
| df = df.groupby("y") |
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Can you call this gb instead; calling it df is confusing.
| def test__series_groupy_agg_list_like_func_with_args(): | ||
| # GH 50624 | ||
| data = Series([1, 2, 3]) | ||
| data = data.groupby(data) |
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| msg = r"foo1\(\) got an unexpected keyword argument 'b'" | ||
| with pytest.raises(TypeError, match=msg): | ||
| df.agg([foo1, foo2], 0, 3, b=3, c=4) | ||
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| result = df.agg([foo1, foo2], 0, 3, c=4) |
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This test should be using resample.
doc/source/whatsnew/v2.0.0.rst
Outdated
| @@ -1317,7 +1317,7 @@ Reshaping | |||
| - Clarified error message in :func:`merge` when passing invalid ``validate`` option (:issue:`49417`) | |||
| - Bug in :meth:`DataFrame.explode` raising ``ValueError`` on multiple columns with ``NaN`` values or empty lists (:issue:`46084`) | |||
| - Bug in :meth:`DataFrame.transpose` with ``IntervalDtype`` column with ``timedelta64[ns]`` endpoints (:issue:`44917`) | |||
| - Bug in :func:`agg` would ignore arguments when passed a list of functions (:issue:`50863`) | |||
| - Bug in :meth:`DataFrame.agg`, :meth:`Series.agg`, :meth:`DataFrameGroupBy.agg`, :meth:`SeriesGroupBy.agg`, and :meth:`Resampler.agg` would ignore arguments when passed a list of functions (:issue:`50863`) | |||
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I should have mentioned - this should be split up with the groupby and resampler part going under their section within Bugfixes.
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Thanks @luke396! |
This really couldn't have been done if it wasn't for your great help. |
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doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.Previous Pull Request #50725, for multiple elements-func list this time.
I would appreciate any feedback or suggestions on this draft pull request to help improve it. Thank you in advance for your help and cooperation.