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  • shoyer · 3 ✖

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  • Safely open / close netCDF files without resource locking · 3 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
482818859 https://github.com/pydata/xarray/issues/2887#issuecomment-482818859 https://api.github.com/repos/pydata/xarray/issues/2887 MDEyOklzc3VlQ29tbWVudDQ4MjgxODg1OQ== shoyer 1217238 2019-04-13T15:10:22Z 2019-04-14T21:12:17Z MEMBER

Just to clarify, load_dataset would be equivalent to: python def load_dataset(*args, **kwargs): with xarray.open_dataset(*args, **kwargs) as ds: return ds.load() This also seems pretty reasonable to me. I’ve written a version of this utility function a handful of times, so I at least would find it useful.

Would we also want load_dataarray?

 
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   Safely open / close netCDF files without resource locking 432019600
482637696 https://github.com/pydata/xarray/issues/2887#issuecomment-482637696 https://api.github.com/repos/pydata/xarray/issues/2887 MDEyOklzc3VlQ29tbWVudDQ4MjYzNzY5Ng== shoyer 1217238 2019-04-12T16:26:17Z 2019-04-12T16:26:17Z MEMBER

I think this is more of a limitation of netCDF-C / HDF5 than xarray. For example, this example works if you use SciPy's netCDF reader/writer: ``` import xarray as xr ds = xr.Dataset({'var': ('x', [0, 1, 2])}) ds.to_netcdf('test.nc', engine='scipy')

ds_read = xr.open_dataset('test.nc', engine='scipy') ds.to_netcdf('test.nc', engine='scipy') ```

 
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   Safely open / close netCDF files without resource locking 432019600
482357656 https://github.com/pydata/xarray/issues/2887#issuecomment-482357656 https://api.github.com/repos/pydata/xarray/issues/2887 MDEyOklzc3VlQ29tbWVudDQ4MjM1NzY1Ng== shoyer 1217238 2019-04-11T22:58:37Z 2019-04-11T22:58:47Z MEMBER

This pattern should work: python with xr.open_dataset('test.nc') as ds: ds.load() ds.to_netcdf('test.nc')

 
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   Safely open / close netCDF files without resource locking 432019600

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