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ENH: CategoricalDtype __repr__ should show dtype of categories #52179

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Closed
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phofl opened this issue Mar 24, 2023 · 2 comments · Fixed by #52202
Closed
1 of 3 tasks

ENH: CategoricalDtype __repr__ should show dtype of categories #52179

phofl opened this issue Mar 24, 2023 · 2 comments · Fixed by #52202
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@phofl
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phofl commented Mar 24, 2023

Feature Type

  • Adding new functionality to pandas

  • Changing existing functionality in pandas

  • Removing existing functionality in pandas

Problem Description

Right now the repr only shows the categories and if they are ordered, but since we can back Categoricals with arrow or nullable dtypes or generally different NumPy dtypes (e.g. int32) we should also show the dtype of the categories:

ser1 = Series(pd.Categorical(Index([1, 2, 3], dtype="int32")))
ser2 = Series(pd.Categorical(Index([1, 2, 3], dtype="int64")))

tm.assert_series_equal(ser1, ser2)

This shows

Attribute "dtype" are different
[left]:  CategoricalDtype(categories=[1, 2, 3], ordered=False)
[right]: CategoricalDtype(categories=[1, 2, 3], ordered=False)

which is not very helpful.

Feature Description

Add something like category_dtype="int32" to the repr.

Alternative Solutions

Not sure what you could do apart from checking explicitly for the categories dtype yourself.

Additional Context

No response

@phofl phofl added Enhancement API Design Categorical Categorical Data Type Needs Discussion Requires discussion from core team before further action labels Mar 24, 2023
@mroeschke
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+1 to add the dtype information

@topper-123
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+1 from me also.

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3 participants