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  • headtr1ck · 3 ✖

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  • What should `Dataset.count` return for missing dims? · 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
1178768111 https://github.com/pydata/xarray/issues/6749#issuecomment-1178768111 https://api.github.com/repos/pydata/xarray/issues/6749 IC_kwDOAMm_X85GQpLv headtr1ck 43316012 2022-07-08T09:30:56Z 2022-07-08T09:30:56Z COLLABORATOR

Another option is to add an option: missing_dim: "raise", ignore" or "broadcast". The default then would be ignore, which is the current implementation.

But for workflows of variables that are either DataArray or Dataset, this argument should be added to DataArray.sum/count/prod as well?

 
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   What should `Dataset.count` return for missing dims? 1292284929
1177944075 https://github.com/pydata/xarray/issues/6749#issuecomment-1177944075 https://api.github.com/repos/pydata/xarray/issues/6749 IC_kwDOAMm_X85GNgAL headtr1ck 43316012 2022-07-07T17:07:10Z 2022-07-07T17:07:10Z COLLABORATOR

I think that changing the behavior of sum is quite a large breaking change.

 
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   What should `Dataset.count` return for missing dims? 1292284929
1176517619 https://github.com/pydata/xarray/issues/6749#issuecomment-1176517619 https://api.github.com/repos/pydata/xarray/issues/6749 IC_kwDOAMm_X85GIDvz headtr1ck 43316012 2022-07-06T17:58:49Z 2022-07-06T17:58:49Z COLLABORATOR

What happens when you call a ufunc with an empty axis tuple?

This should also happen with all other ufuncs then? I guess most of them just work, like mean, sum etc.

 
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   What should `Dataset.count` return for missing dims? 1292284929

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