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  • ScottWales · 3 ✖

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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
577929592 https://github.com/pydata/xarray/issues/3717#issuecomment-577929592 https://api.github.com/repos/pydata/xarray/issues/3717 MDEyOklzc3VlQ29tbWVudDU3NzkyOTU5Mg== ScottWales 161133 2020-01-23T23:42:27Z 2020-01-23T23:42:27Z CONTRIBUTOR

In the reduce call https://github.com/pydata/xarray/blob/6d1434e9b9e9766d6fcafceb05e81734b29994ea/xarray/core/groupby.py#L877-L888

dim is assigned to a default of self._group_dim if it hasn't been specified. This should also check if axis hasn't been set.

The check_reduce_dims() call should then have a check for dim is None as well, so it's not run if axis is being used.

That should get you started

 
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   reduce on groupby auto-adds axis argument and complains when axis argument is specified 553930127
503868176 https://github.com/pydata/xarray/pull/3033#issuecomment-503868176 https://api.github.com/repos/pydata/xarray/issues/3033 MDEyOklzc3VlQ29tbWVudDUwMzg2ODE3Ng== ScottWales 161133 2019-06-20T04:56:30Z 2019-06-20T04:56:30Z CONTRIBUTOR

Thanks for the review @max-sixty, happy to help out

 
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   ENH: keepdims=True for xarray reductions 457771111
489877380 https://github.com/pydata/xarray/issues/2943#issuecomment-489877380 https://api.github.com/repos/pydata/xarray/issues/2943 MDEyOklzc3VlQ29tbWVudDQ4OTg3NzM4MA== ScottWales 161133 2019-05-07T02:01:12Z 2019-05-07T02:01:12Z CONTRIBUTOR

Looks like there is already a fix in #2942

 
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   Rolling operations loose chunking with dask and bottleneck 440988633

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