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  • dcherian · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
791011542 https://github.com/pydata/xarray/issues/4922#issuecomment-791011542 https://api.github.com/repos/pydata/xarray/issues/4922 MDEyOklzc3VlQ29tbWVudDc5MTAxMTU0Mg== dcherian 2448579 2021-03-04T23:02:48Z 2021-03-04T23:02:48Z MEMBER

```

Just apply rolling to the base array.

ds.rolling(time=6, center=False, min_periods=1).mean() ```

I feel like this should not work i.e. rolling window length (6) < size along axis (3). So the bottleneck error seems right.

The chunk size error in the last example should go away with #4977

 
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   Bottleneck and dask objects ignore `min_periods` on `rolling` 811321550
781571084 https://github.com/pydata/xarray/issues/4922#issuecomment-781571084 https://api.github.com/repos/pydata/xarray/issues/4922 MDEyOklzc3VlQ29tbWVudDc4MTU3MTA4NA== dcherian 2448579 2021-02-18T19:08:44Z 2021-02-18T19:08:44Z MEMBER

Maybe the padding is breaking down for length-1 arrays?

I would look at padded in this function https://github.com/pydata/xarray/blob/c9b9eec73a033e275b6012e7d391dd42591ccf52/xarray/core/rolling.py#L461-L463

 
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   Bottleneck and dask objects ignore `min_periods` on `rolling` 811321550

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