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- More efficient rolling with large dask arrays · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 485036913 | https://github.com/pydata/xarray/issues/2908#issuecomment-485036913 | https://api.github.com/repos/pydata/xarray/issues/2908 | MDEyOklzc3VlQ29tbWVudDQ4NTAzNjkxMw== | emaroon 9040990 | 2019-04-19T23:25:17Z | 2019-04-19T23:25:17Z | NONE | Thanks for the quick response! I installed bottleneck (v1.2.1) and that did the trick. The rolling computation is now lazy and nothing is stored in memory until the array is deliberately persisted. Having a hint in the rolling documentation about this would be great. |
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More efficient rolling with large dask arrays 435311415 |
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