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  • dcherian · 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
902257325 https://github.com/pydata/xarray/pull/4540#issuecomment-902257325 https://api.github.com/repos/pydata/xarray/issues/4540 IC_kwDOAMm_X841x1qt dcherian 2448579 2021-08-19T21:22:52Z 2021-08-19T21:22:52Z MEMBER

Hi @tlogan2000 , this is moving forward but slowly.

The good news is that I got resampling working this week (at least for some minimal test cases). It works by rechunking so that every chunk boundary lines up with a group boundary, and then applies numpy_groupies blockwise.

https://github.com/dcherian/dask_groupby/blob/8a30c4b20f23acacfc3b53dbeab2a7b268ecd3fc/dask_groupby/xarray.py#L268-L272

You can test it out with something like this python dask_groupby.xarray.resample_reduce(ds.resample(time="M"), func="mean")

For general groupby use python dask_groupby.xarray.xarray_reduce(...) This still fails a few xarray tests but a lot of them pass! Let me know how it goes and please file bug reports over at the dask_groupby repo if you find any.

 
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   numpy_groupies 729208432
865398930 https://github.com/pydata/xarray/pull/4540#issuecomment-865398930 https://api.github.com/repos/pydata/xarray/issues/4540 MDEyOklzc3VlQ29tbWVudDg2NTM5ODkzMA== dcherian 2448579 2021-06-21T23:02:20Z 2021-06-21T23:02:20Z MEMBER

No worries @max-sixty! It looks like @andersy005 will be trying to get this completed soon

 
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   numpy_groupies 729208432

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