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- More efficient rolling with large dask arrays · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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485037541 | https://github.com/pydata/xarray/issues/2908#issuecomment-485037541 | https://api.github.com/repos/pydata/xarray/issues/2908 | MDEyOklzc3VlQ29tbWVudDQ4NTAzNzU0MQ== | dcherian 2448579 | 2019-04-19T23:30:23Z | 2019-04-19T23:30:23Z | MEMBER | @emaroon Are you up for sending in a pull request? :) |
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More efficient rolling with large dask arrays 435311415 | |
485032817 | https://github.com/pydata/xarray/issues/2908#issuecomment-485032817 | https://api.github.com/repos/pydata/xarray/issues/2908 | MDEyOklzc3VlQ29tbWVudDQ4NTAzMjgxNw== | shoyer 1217238 | 2019-04-19T22:54:42Z | 2019-04-19T22:54:42Z | MEMBER | I suspect that if you had Our current solution for cases where bottleneck is not installed involves creating a very large array in memory. It would be nice to allows for a less memory hungry version as an option, even if it will be a little slower. This also is probably an opportunity for documentation. |
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More efficient rolling with large dask arrays 435311415 |
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