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  • More efficient rolling with large dask arrays · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
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 bottleneck installed this would actually be OK on memory usage.

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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