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  • groupby beahaviour w.r.t. non principal coordinates · 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
540187230 https://github.com/pydata/xarray/issues/2148#issuecomment-540187230 https://api.github.com/repos/pydata/xarray/issues/2148 MDEyOklzc3VlQ29tbWVudDU0MDE4NzIzMA== dcherian 2448579 2019-10-09T20:45:58Z 2019-10-09T20:45:58Z MEMBER

Everything but this last example works as expected

``` arr = xr.DataArray( np.ones((5, 2)), dims=('x', 'y'), coords={ 'x': ('x', np.array([1, 1, 1, 2, 2])), 'x1': ('x', np.array([1, 1, 1, 2, 2])), 'x2': ('x', np.array([1, 2, 3, 4, 5])), } )

arr.groupby(xr.DataArray([1,1,1,2,2], dims=('x'), name='y')).mean('x')

<xarray.DataArray (y: 4)> array([1., 1., 1., 1.]) Coordinates: * y (y) int64 1 2

```

 
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   groupby beahaviour w.r.t. non principal coordinates 324032926
389885906 https://github.com/pydata/xarray/issues/2148#issuecomment-389885906 https://api.github.com/repos/pydata/xarray/issues/2148 MDEyOklzc3VlQ29tbWVudDM4OTg4NTkwNg== fmaussion 10050469 2018-05-17T14:27:19Z 2018-05-17T14:27:19Z MEMBER

Yes, definitely looks like a bug. I wonder if aggregating the non-dimension coordinate would lead to meaningful results in some cases, but I guess that in most cases it wouldn't. 

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   groupby beahaviour w.r.t. non principal coordinates 324032926

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