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  • Mixed datatypes Dataset.to_netcdf() · 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
602396308 https://github.com/pydata/xarray/issues/3842#issuecomment-602396308 https://api.github.com/repos/pydata/xarray/issues/3842 MDEyOklzc3VlQ29tbWVudDYwMjM5NjMwOA== max-sixty 5635139 2020-03-23T05:38:31Z 2020-03-23T05:38:31Z MEMBER

Thanks @mathause .

Closing, please reopen with outstanding questions

 
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   Mixed datatypes Dataset.to_netcdf() 577068248
596531350 https://github.com/pydata/xarray/issues/3842#issuecomment-596531350 https://api.github.com/repos/pydata/xarray/issues/3842 MDEyOklzc3VlQ29tbWVudDU5NjUzMTM1MA== mathause 10194086 2020-03-09T13:43:00Z 2020-03-09T13:43:00Z MEMBER

netCDF does not support mixed data types for individual arrays. If you create two arrays, it can be written to disk:

python a = df["Values"].to_xarray() b = df["Strings"].to_xarray() ds = xr.merge([a, b]) ds.to_netcdf('A.nc')

 
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   Mixed datatypes Dataset.to_netcdf() 577068248

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