id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
245468219,MDU6SXNzdWUyNDU0NjgyMTk=,1487,`axis` keyword ignored when applying `np.squeeze` to `DataArray`,25275251,closed,0,,,4,2017-07-25T16:59:19Z,2018-02-20T06:27:12Z,2018-02-20T06:27:12Z,NONE,,,,"Thank you all for creating xarray, I'm a new user and I love it! 

I believe I came across a bug. It appears the axis keyword is ignored when applying `np.squeeze` to a `DataArray`. Here is an illustration:


```
import numpy as np
import xarray as xr

test = np.random.random((1,10,1))
np.squeeze(test, axis=0).shape
# (10, 1)
np.squeeze(xr.DataArray(test), axis=0).shape
# (10,)
np.__version__
# '1.13.0'
xr.__version__
# '0.9.6'
```
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