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  • shoyer · 2 ✖

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  • Dataset.groupby() doesn't preserve variables order · 2 ✖

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253936119 https://github.com/pydata/xarray/issues/1042#issuecomment-253936119 https://api.github.com/repos/pydata/xarray/issues/1042 MDEyOklzc3VlQ29tbWVudDI1MzkzNjExOQ== shoyer 1217238 2016-10-14T22:35:56Z 2016-10-14T22:35:56Z MEMBER

So the tricky part here is that it's not obvious what is breaking here. One clue is that reducing doesn't seem to be necessary -- I can reproduce this just with applying an identity transform:

``` In [6]: identity = lambda x: x

In [7]: ds.groupby('t').apply(identity) Out[7]: <xarray.Dataset> Dimensions: (t: 10) Coordinates: * t (t) int64 0 1 2 3 4 5 6 7 8 9 Data variables: a (t) int64 0 1 2 3 4 5 6 7 8 9 c (t) int64 0 1 2 3 4 5 6 7 8 9 b (t) int64 0 1 2 3 4 5 6 7 8 9 ```

Actually, it looks like it's probably a concat bug:

``` In [17]: gb = ds.groupby('t')

In [18]: grouped = [v for _, v in gb]

In [20]: [list(g.data_vars) for g in grouped] Out[20]: [['a', 'b', 'c'], ['a', 'b', 'c'], ['a', 'b', 'c'], ['a', 'b', 'c'], ['a', 'b', 'c'], ['a', 'b', 'c'], ['a', 'b', 'c'], ['a', 'b', 'c'], ['a', 'b', 'c'], ['a', 'b', 'c']]

In [21]: xr.concat(grouped, dim='t') Out[21]: <xarray.Dataset> Dimensions: (t: 10) Coordinates: * t (t) int64 0 1 2 3 4 5 6 7 8 9 Data variables: a (t) int64 0 1 2 3 4 5 6 7 8 9 c (t) int64 0 1 2 3 4 5 6 7 8 9 b (t) int64 0 1 2 3 4 5 6 7 8 9 ```

 
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   Dataset.groupby() doesn't preserve variables order 181881219
252505663 https://github.com/pydata/xarray/issues/1042#issuecomment-252505663 https://api.github.com/repos/pydata/xarray/issues/1042 MDEyOklzc3VlQ29tbWVudDI1MjUwNTY2Mw== shoyer 1217238 2016-10-09T19:06:39Z 2016-10-09T19:06:39Z MEMBER

This is probably a bug. Usually, we're pretty careful to always use OrderedDict internally for exactly this reason. Can you give a reproducible example?

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

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