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  • keewis · 1 ✖

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  • DataArrayRolling.mean() ignores `skipna=True` kwarg · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1438733254 https://github.com/pydata/xarray/issues/6772#issuecomment-1438733254 https://api.github.com/repos/pydata/xarray/issues/6772 IC_kwDOAMm_X85VwVPG keewis 14808389 2023-02-21T16:04:37Z 2023-02-21T16:04:37Z MEMBER

Apologies for letting this sit for so long.

The reason for the unexpected behavior seems to be that mean is implemented using sum / count: https://github.com/pydata/xarray/blob/21d86450b3cec595c74aa410cbcc367c9c7f8a0a/xarray/core/rolling.py#L176 https://github.com/pydata/xarray/blob/21d86450b3cec595c74aa410cbcc367c9c7f8a0a/xarray/core/rolling.py#L161-L163 where min_periods is applied in the sum (by masking values where count < min_periods).

However, sum on rolling objects will fill any missing values with 0 before doing anything else, so when the actual sum is computed skipna does not have any effect.

So if you were to set min_periods=1 you'd get the same result as what you'd expect while min_periods=3 is what you're seeing.

@pydata/xarray, any idea what to do here? Should we document that passing skipna does not have any effect on rolling window sums / means, or would it be better to change the implementation? Or maybe I'm missing something else?

 
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   DataArrayRolling.mean() ignores `skipna=True` kwarg 1301023040

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