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  • rabernat · 1 ✖

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  • Parallel tasks on subsets of a dask array wrapped in an xarray Dataset · 1 ✖

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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
662517426 https://github.com/pydata/xarray/issues/4241#issuecomment-662517426 https://api.github.com/repos/pydata/xarray/issues/4241 MDEyOklzc3VlQ29tbWVudDY2MjUxNzQyNg== rabernat 1197350 2020-07-22T15:22:51Z 2020-07-22T15:22:51Z MEMBER

The reason is that my function here must be applied along the time dimension (e.g., a rolling median in time), but my data is chunked across the time dimension

This is a fundamental problem that is rather hard to solve without creating a copy of the data.

We just released the rechunker package, which makes it easy to create a copy of your data with a different chunking scheme (e.g contiguous in time, chunked in space). If you have enough disk space to store a copy, this might be a good solution.

 
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   Parallel tasks on subsets of a dask array wrapped in an xarray Dataset 662982199

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