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/pull/3527#issuecomment-554500568,https://api.github.com/repos/pydata/xarray/issues/3527,554500568,MDEyOklzc3VlQ29tbWVudDU1NDUwMDU2OA==,1217238,2019-11-15T19:41:41Z,2019-11-15T19:41:41Z,MEMBER,"> the difference is [here](https://github.com/pydata/xarray/blob/5f9ca06ef6bd4fcae3605ad8a55ad9085471bd37/xarray/core/groupby.py#L781-L783), where in `DataArrayGroupBy` the original dimension order is restored. `DatasetGroupBy` does not do that, so the test requires the `transpose`

It was not entirely obvious to me how to generalize ""restoring dimension order""  to Dataset. On a Dataset, it is not entirely clear which variable dimension order should be copied from. Maybe each variable in the  result should have dimension order copied from the variable with the same name in the original dataset? But then what about new variables?

I agree @max-sixty, let's not worry about this too much for now.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,522523336