BUG: groupby.idxmin/idxmax with all NA values should raise #62026
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mroeschke
reviewed
Aug 2, 2025
jbrockmendel
reviewed
Aug 3, 2025
doc/source/whatsnew/v3.0.0.rst
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| @@ -504,7 +504,7 @@ Renamed the following offset aliases (:issue:`57986`): | |||
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| Other Removals | |||
| ^^^^^^^^^^^^^^ | |||
| - :class:`.DataFrameGroupBy.idxmin`, :class:`.DataFrameGroupBy.idxmax`, :class:`.SeriesGroupBy.idxmin`, and :class:`.SeriesGroupBy.idxmax` will now raise a ``ValueError`` when used with ``skipna=False`` and an NA value is encountered (:issue:`10694`) | |||
| - :class:`.DataFrameGroupBy.idxmin`, :class:`.DataFrameGroupBy.idxmax`, :class:`.SeriesGroupBy.idxmin`, and :class:`.SeriesGroupBy.idxmax` will now raise a ``ValueError`` when a group has all NA values, or when used with ``skipna=False`` and any NA value is encountered (:issue:`10694`) | |||
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does 10694 cover both of these cases?
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No - added the linked issue in the OP. Thanks!
jbrockmendel
reviewed
Aug 4, 2025
| @@ -283,8 +283,6 @@ def test_idxmin_idxmax_extremes_skipna(skipna, how, float_numpy_dtype): | |||
| np.nan, | |||
| max_value, | |||
| np.nan, | |||
| np.nan, | |||
| np.nan, | |||
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this change is bc there's an all-NA group so itll now raise?
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Yes, and the case of testing for raising is done elsewhere.
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Couple of small questions, assuming no surprises on those: LGTM |
…groupby_idxmin_all_na
mroeschke
approved these changes
Aug 5, 2025
|
Thanks @rhshadrach |
eicchen
pushed a commit
to eicchen/pandas
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Aug 19, 2025
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doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.