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BUG: value_counts() check Index with PyArrow categorical columns #60569
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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?
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. |
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. |
doc/source/whatsnew/vX.X.X.rst
file if fixing a bug or adding a new feature.This is my first issue, thank you in advance for your patience and feedback!