BUG: groupby.idxmin/idxmax with all NA values should raise #62026
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rhshadrach
added
Groupby
API - Consistency
mroeschke
reviewed
Aug 2, 2025
| index = self.obj.index | ||
| if res.size == 0: | ||
| result = res.astype(index.dtype) | ||
| elif skipna and res.lt(0).any(axis=None): |
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Could res.lt(0).any(axis=None) ever return a missing value that would raise if used in a bool context like this?
jbrockmendel
reviewed
Aug 3, 2025
| @@ -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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doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.