issue_comments: 253936119
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/1042#issuecomment-253936119 | https://api.github.com/repos/pydata/xarray/issues/1042 | 253936119 | MDEyOklzc3VlQ29tbWVudDI1MzkzNjExOQ== | 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 ``` 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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