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  • fmaussion · 3 ✖

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  • Dataset.groupby() doesn't preserve variables order · 3 ✖

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  • MEMBER · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
257814934 https://github.com/pydata/xarray/issues/1042#issuecomment-257814934 https://api.github.com/repos/pydata/xarray/issues/1042 MDEyOklzc3VlQ29tbWVudDI1NzgxNDkzNA== fmaussion 10050469 2016-11-02T09:34:46Z 2016-11-02T09:34:46Z MEMBER 
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   Dataset.groupby() doesn't preserve variables order 181881219
253932983 https://github.com/pydata/xarray/issues/1042#issuecomment-253932983 https://api.github.com/repos/pydata/xarray/issues/1042 MDEyOklzc3VlQ29tbWVudDI1MzkzMjk4Mw== fmaussion 10050469 2016-10-14T22:16:37Z 2016-10-14T22:16:37Z MEMBER

@shoyer I'd be happy to provide a fix if you want. Could you give a short pointer as to where the logic is implemented?

 
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   Dataset.groupby() doesn't preserve variables order 181881219
252506038 https://github.com/pydata/xarray/issues/1042#issuecomment-252506038 https://api.github.com/repos/pydata/xarray/issues/1042 MDEyOklzc3VlQ29tbWVudDI1MjUwNjAzOA== fmaussion 10050469 2016-10-09T19:13:49Z 2016-10-09T19:13:49Z MEMBER

Thanks @shoyer , here's a mwe:

``` python import xarray as xr import numpy as np ds = xr.Dataset() for vn in ['a', 'b', 'c']: ds[vn] = xr.DataArray(np.arange(10), dims=['t']) ds.groupby('t').mean()

<xarray.Dataset> Dimensions: (t: 10) Coordinates: * t (t) int64 0 1 2 3 4 5 6 7 8 9 Data variables: a (t) float64 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 c (t) float64 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 b (t) float64 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 ```

 
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   Dataset.groupby() doesn't preserve variables order 181881219

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