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  • Volatile error: `unsupported dtype for netCDF4 variable: object` · 1 ✖

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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
419206989 https://github.com/pydata/xarray/issues/2404#issuecomment-419206989 https://api.github.com/repos/pydata/xarray/issues/2404 MDEyOklzc3VlQ29tbWVudDQxOTIwNjk4OQ== shoyer 1217238 2018-09-06T19:04:46Z 2018-09-06T19:04:46Z MEMBER

Unfortunately, I can't seem to reproduce your example: ```python import xarray import numpy as np

name = 'loc_techs_export' data = np.array(['foo::bar'], dtype=object) data_array = xarray.DataArray(data, dims=[name], name=name, coords={name: data}) print(data_array) # looks identical to your example data_array.to_netcdf('test.nc', engine='netcdf4') # works ```

Can you share how you save the file to disk? A reproducible example would help greatly here.

Is there anything in the encoding attribute for this variable, or in the encoding keyword argument to to_netcdf?

 
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   Volatile error: `unsupported dtype for netCDF4 variable: object` 357729048

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