BUG: Fixed regression in rolling.skew and rolling.kurt modifying object #38909
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phofl
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Regression
jreback
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Jan 3, 2021
pandas/_libs/window/aggregations.pyx
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| @@ -504,6 +504,7 @@ def roll_skew(ndarray[float64_t] values, ndarray[int64_t] start, | |||
| ) | |||
| output = np.empty(N, dtype=float) | |||
| min_val = np.nanmin(values) | |||
| values_copy = np.empty(N, dtype=float) | |||
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why don't you simply copy values to begin with? then all of these additions are not needed
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Was not sure which would be faster. When we do a copy, we have to touch the values again in case of
min_val - mean_val > -1e5
Changed it
jreback
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Jan 4, 2021
|
thanks @phofl |
|
@meeseeksdev backport 1.2.x |
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…nd rolling.kurt modifying object
jreback
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….kurt modifying object (#38945)
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black pandasgit diff upstream/master -u -- "*.py" | flake8 --diffAlternative would be np.copy before releasing gil. In this case we would have to touch values_copy twice in case of
min_val - mean_val > -1e5