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/1331#issuecomment-289744550,https://api.github.com/repos/pydata/xarray/issues/1331,289744550,MDEyOklzc3VlQ29tbWVudDI4OTc0NDU1MA==,4160723,2017-03-28T11:46:34Z,2017-03-28T11:46:34Z,MEMBER,"Given your two Datasets and your desired result, why not simply using `concat`?
```python
xr.concat([ds1, ds2], dim='y').stack(yx=['y', 'x'])
```
```
Dimensions: (yx: 6)
Coordinates:
* yx (yx) MultiIndex
- y (yx) object 'a' 'a' 'a' 'b' 'b' 'b'
- x (yx) int64 1 2 3 1 2 3
Data variables:
foo (yx) int64 1 2 3 4 5 6
```
I don't really understand your last comment (only using `ds1`). Am I missing something?
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