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1 row where issue = 479942077, "updated_at" is on date 2022-01-17 and user = 40465719 sorted by updated_at descending

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  • Material-Scientist · 1 ✖

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  • How should xarray use/support sparse arrays? · 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
1014462537 https://github.com/pydata/xarray/issues/3213#issuecomment-1014462537 https://api.github.com/repos/pydata/xarray/issues/3213 IC_kwDOAMm_X848d3hJ Material-Scientist 40465719 2022-01-17T12:20:18Z 2022-01-17T12:20:18Z NONE

I know. But having sparse data I can treat as if it were dense allows me to unstack without running out of memory, and then ffill & downsample the data in chunks:

It would be nice if xarray automatically converted the data from sparse back to dense for doing operations on the chunks just like pandas does.

The picture shows that I'm already using nbytes to determine the size.

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  How should xarray use/support sparse arrays? 479942077

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