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
59308959,MDU6SXNzdWU1OTMwODk1OQ==,343,DataArrays initialized with the same data behave like views of each other,7462311,closed,0,,799013,2,2015-02-27T23:19:39Z,2015-03-03T06:02:56Z,2015-03-03T06:02:56Z,NONE,,,,"I'm not sure if this qualifies as a bug but this behavior was surprising to me. If I initialize two DataArrays with the same array, the two DataArrays and the original initialization array are all linked as if they are views of each other. 

A simple example:

``` Python
#initialize with same array:
a = np.zeros((4,4))
da1 = xray.DataArray(a, dims=['x', 'y'])
da2 = xray.DataArray(a, dims=['i', 'j'])
```

If I do `da1.loc[:, 2] = 12`, the same change occurs in `da2` _and_ `a`.
Likewise, doing  `da2[dict(i=1)] = 29` also modifies `da1` and `a`. 

The problem is fixed if I explicitly pass copies of the `a` but I think this should be the default behavior. If this behavior is intended then I think it should be clearly noted in the documentation.
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