issue_comments: 77815734

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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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