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  • shoyer · 1 ✖
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?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Volatile error: `unsupported dtype for netCDF4 variable: object` 357729048

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   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
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   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
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   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
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