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  • mathause · 2 ✖

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  • Binary operations with ds.groupby('time.dayofyear') errors out, but ds.groupby('time.month') works · 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
700603268 https://github.com/pydata/xarray/issues/1527#issuecomment-700603268 https://api.github.com/repos/pydata/xarray/issues/1527 MDEyOklzc3VlQ29tbWVudDcwMDYwMzI2OA== mathause 10194086 2020-09-29T10:05:42Z 2020-09-29T10:05:42Z MEMBER

However, other_sel in _yield_binary_applied looks like:

python <xarray.DataArray (x: 10)> array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]) Coordinates: * x (x) int64 0 1 2 3 4 5 6 7 8 9 dayofyear int64 1

https://github.com/pydata/xarray/blob/f821fe20595c3700375ccecebf88e01a61444777/xarray/core/groupby.py#L484

 
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   Binary operations with ds.groupby('time.dayofyear') errors out, but ds.groupby('time.month') works 253107677
700600387 https://github.com/pydata/xarray/issues/1527#issuecomment-700600387 https://api.github.com/repos/pydata/xarray/issues/1527 MDEyOklzc3VlQ29tbWVudDcwMDYwMDM4Nw== mathause 10194086 2020-09-29T10:00:14Z 2020-09-29T10:00:14Z MEMBER

This is still relevant. Now raises

python ValueError: 'x' not present in all datasets and coords='different'. Either add 'x' to datasets where it is missing or specify coords='minimal'. I think the issue may be that _dummy_copy does not include the x-dimension: python xr.core.groupby._dummy_copy(d2.groupby('time.dayofyear').mean('time')) yields python <xarray.DataArray ()> array(nan)

 
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   Binary operations with ds.groupby('time.dayofyear') errors out, but ds.groupby('time.month') works 253107677

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