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/341#issuecomment-77815734,https://api.github.com/repos/pydata/xarray/issues/341,77815734,MDEyOklzc3VlQ29tbWVudDc3ODE1NzM0,1217238,2015-03-09T08:30:01Z,2015-03-09T08:30:01Z,MEMBER,"With slightly more comprehensive testing, I was able to turn accessing data from a netcdfs read (and closed) from scipy into a segmentation fault.

Unfortunately, as it turns out, the only way to make scipy.io.netcdf read data from disk lazily is to use mmapped arrays. So I did indeed need to use `.copy()` (see #365) to fix the seg-faults and make things consistent with how we use netCDF4-python.
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