BUG: DataFrame reductions with object dtype and axis=1 #49619
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rhshadrach
added
Dtype Conversions
…ct_reduction_axis_1_attempt_2 � Conflicts: � pandas/core/frame.py
…ct_reduction_axis_1_attempt_2 � Conflicts: � pandas/core/frame.py
…ct_reduction_axis_1_attempt_2
…ct_reduction_axis_1_attempt_2 � Conflicts: � doc/source/whatsnew/v2.0.0.rst
…ct_reduction_axis_1_attempt_2
…ct_reduction_axis_1_attempt_2
rhshadrach
commented
Dec 10, 2022
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+989
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+991
| dtype = arr.dtype if res is NaT else None | ||
| result_arrays.append( | ||
| sanitize_array([res], None) # type: ignore[arg-type] | ||
| sanitize_array([res], None, dtype=dtype) # type: ignore[arg-type] |
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I expect this approach to work for L984-985 above; is this a preferred method?
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doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.In #49616 I attempted to only remove the errant cast to float, but this lead to the issue that, e.g. for axis=1 the sum of boolean columns becomes object. Unconditionally taking the block manager reduce path solves this problem, but then we run into the issue of taking a transpose of a frame with no columns (see the comments in the diff here). This PR resolves that issue, but is a bit of a hack (I can't seem to find any other resolution).
In the test here, there are some reductions (e.g. mean) that one may have expected float back instead - I've opened #49618 for this.