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/815#issuecomment-204525952,https://api.github.com/repos/pydata/xarray/issues/815,204525952,MDEyOklzc3VlQ29tbWVudDIwNDUyNTk1Mg==,10050469,2016-04-01T19:03:47Z,2016-04-01T19:03:47Z,MEMBER,"@pwolfram thanks. It's hard to tell form the print, but from the dimensions of the output it looks fine. The real use case would if you have (x,y,time), you would like to sel_where based on x,y only (for example a landmask or something).
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,145243134
https://github.com/pydata/xarray/pull/815#issuecomment-204501428,https://api.github.com/repos/pydata/xarray/issues/815,204501428,MDEyOklzc3VlQ29tbWVudDIwNDUwMTQyOA==,10050469,2016-04-01T18:21:04Z,2016-04-01T18:21:04Z,MEMBER,"This is very cool! Would it also work in that case?

``` python
a = xr.DataArray(np.arange(5**3).reshape(5, 5, 5), dims=('x', 'y', 'z'))
mask = xr.DataArray(np.arange(5**2).reshape(5, 5), dims=('x', 'y'))
a.sel_where(np.logical_and(mask > 6, mask < 18))
```
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