issue_comments: 791011542
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/issues/4922#issuecomment-791011542 | https://api.github.com/repos/pydata/xarray/issues/4922 | 791011542 | MDEyOklzc3VlQ29tbWVudDc5MTAxMTU0Mg== | 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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