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  • alexamici · 2 ✖

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  • IO fails with complex datatypes · 2 ✖

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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
257117471 https://github.com/pydata/xarray/issues/748#issuecomment-257117471 https://api.github.com/repos/pydata/xarray/issues/748 MDEyOklzc3VlQ29tbWVudDI1NzExNzQ3MQ== alexamici 226037 2016-10-29T21:37:19Z 2016-10-29T21:37:19Z MEMBER

I reinstalled a bunch of stuff and I can confirm my example above works for me now using engine='h5netcdf'. It still fails with the default engine.

 
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   IO fails with complex datatypes 131972229
249353905 https://github.com/pydata/xarray/issues/748#issuecomment-249353905 https://api.github.com/repos/pydata/xarray/issues/748 MDEyOklzc3VlQ29tbWVudDI0OTM1MzkwNQ== alexamici 226037 2016-09-24T08:54:37Z 2016-09-24T08:54:49Z MEMBER

I add to this issue as it refers to general IO failures. Saving a Dataset that contains DataArray with complex data-type fails on all netCDF4 engines:

dataset = xr.Dataset({'data': np.zeros((2,), dtype='complex128')}) dataset.to_netcdf('tmp.nc', engine='netcdf4') [...] TypeError: illegal primitive data type, must be one of dict_keys(['i8', 'f4', 'f8', 'i2', 'u2', 'i1', 'i4', 'S1', 'u8', 'u1', 'u4']), got complex128

and

dataset.to_netcdf('tmp.nc', engine='h5netcdf') [...] TypeError: Object dtype dtype('O') has no native HDF5 equivalent

 
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   IO fails with complex datatypes 131972229

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