BUG: Aligned skew and kurt results with scipy.stats #62925
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added 9 commits
October 29, 2025 21:33
SebastianGoldmann
changed the title
Alvaro-Kothe
reviewed
Nov 2, 2025
| result = s.sem(ddof=1) | ||
| assert pd.isna(result) | ||
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| def test_skew(self): |
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Why are you removing this test?
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HI Alvaro,
Thank you for the review.
In my previous commit I thought these were duplicated tests, but looking at it again these should not be removed. I will revert and update the tests.
| alt = lambda x: sp_stats.kurtosis(x, bias=False) | ||
| self._check_stat_op("kurt", alt, string_series) | ||
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| def test_kurt_corner(self): |
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| # fix for handling cases where all elements in an axis are the same | ||
| if isinstance(result, np.ndarray): | ||
| result[np.max(values, axis=axis) == np.min(values, axis=axis)] = 0 | ||
| result[np.max(values, axis=axis) == np.min(values, axis=axis)] = np.nan | ||
| return result | ||
| elif np.max(values) == np.min(values): | ||
| return 0.0 | ||
| return np.nan |
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I think these branches can be removed, since SciPy already assigns NaN.
Suggested change
| # fix for handling cases where all elements in an axis are the same | |
| if isinstance(result, np.ndarray): | |
| result[np.max(values, axis=axis) == np.min(values, axis=axis)] = 0 | |
| result[np.max(values, axis=axis) == np.min(values, axis=axis)] = np.nan | |
| return result | |
| elif np.max(values) == np.min(values): | |
| return 0.0 | |
| return np.nan |
Co-authored-by: Álvaro Kothe <[email protected]>
Co-authored-by: Álvaro Kothe <[email protected]>
Co-authored-by: Álvaro Kothe <[email protected]>
Co-authored-by: Álvaro Kothe <[email protected]>
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Rolling.{skew,kurt}for degenerate distributions #62864 (Replace xxxx with the GitHub issue number)doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.