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We had a flaky test for test_value_counts in pandas/tests/base/test_ops.py which was related to the sort order of entries with the same count. A hotfix was introduced in #32449 and resolves the CI issue.
The underlying issue still isn't fixed/confirmed. The test assumes that in case of same counts the order of the original index/series object is preserved. This assumption breaks on CI though. Please refer to my comment (and the following ones) for all related details I have found so far.
It doesn't necessarily seem to be related to the narrow dtypes. It's probably just more likely that values are duplicated the narrower the dtype is.
The text was updated successfully, but these errors were encountered:
We had a flaky test for
test_value_counts
inpandas/tests/base/test_ops.py
which was related to the sort order of entries with the same count. A hotfix was introduced in #32449 and resolves the CI issue.The underlying issue still isn't fixed/confirmed. The test assumes that in case of same counts the order of the original index/series object is preserved. This assumption breaks on CI though. Please refer to my comment (and the following ones) for all related details I have found so far.
It doesn't necessarily seem to be related to the narrow dtypes. It's probably just more likely that values are duplicated the narrower the dtype is.
The text was updated successfully, but these errors were encountered: