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BUG: value_counts() check Index with PyArrow categorical columns #60569

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NOBODIDI
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@NOBODIDI NOBODIDI commented Dec 14, 2024

This is my first issue, thank you in advance for your patience and feedback!

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Thanks for the PR! Will need to add tests using the value_counts method too. The CI appears to be failing, I'd recommend merging main and see if it's still failing.

@@ -447,7 +447,10 @@ def __init__(
if isinstance(values.dtype, ArrowDtype) and issubclass(
values.dtype.type, CategoricalDtypeType
):
arr = values._pa_array.combine_chunks()
if values.__class__.__name__ == 'Index':
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Use isinstance instead of checking the name.

values = Index(["a1", "a2"], dtype=ArrowDtype(pa.string()))
arr = values._data._pa_array.combine_chunks()

assert arr.equals(values._data._pa_array.combine_chunks())
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What is this testing?

@rhshadrach rhshadrach added Bug Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Categorical Categorical Data Type Arrow pyarrow functionality labels Dec 27, 2024
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This pull request is stale because it has been open for thirty days with no activity. Please update and respond to this comment if you're still interested in working on this.

@github-actions github-actions bot added the Stale label Jan 27, 2025
@mroeschke
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Thanks for the pull request, but it appears to have gone stale. If interested in continuing, please merge in the main branch, address any review comments and/or failing tests, and we can reopen.

@mroeschke mroeschke closed this Jan 27, 2025
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BUG: value_counts() returns error/wrong result with PyArrow categorical columns with nulls
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