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/343#issuecomment-76500617,https://api.github.com/repos/pydata/xarray/issues/343,76500617,MDEyOklzc3VlQ29tbWVudDc2NTAwNjE3,7462311,2015-02-28T01:02:27Z,2015-02-28T01:02:27Z,NONE,"Points taken. Thanks for responding so quickly. I didn't realize that Pandas does something similar. I understand that the default behavior of NumPy/Python is to pass by reference (assignment) but I didn't realize that this rule applies even when converting an object from one type to another. Now that I have checked, `np.ma.masked_array` also uses a reference to the input data by default (however, it also provides the option for creating a copy).

In the [API reference for DataArray](http://xray.readthedocs.org/en/latest/generated/xray.DataArray.html#xray.DataArray.__init__), it probably wouldn't hurt to say that the input data is not copied by default and that a reference is used instead. I guess making note of this would only benefit less experienced users like myself, but it would be appreciated. 
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