issue_comments: 791011542
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
811321550 |