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  • jhamman · 2 ✖

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  • TypeError: DataArray.name or Dataset key must be either a string or None for serialization to netCDF files · 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
327599255 https://github.com/pydata/xarray/issues/1555#issuecomment-327599255 https://api.github.com/repos/pydata/xarray/issues/1555 MDEyOklzc3VlQ29tbWVudDMyNzU5OTI1NQ== jhamman 2443309 2017-09-06T20:11:00Z 2017-09-06T20:11:00Z MEMBER

At a minimum, we should make sure that the objects passed to save_mfdataset are in fact datasets.

 
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   TypeError: DataArray.name or Dataset key must be either a string or None for serialization to netCDF files 255701612
327583527 https://github.com/pydata/xarray/issues/1555#issuecomment-327583527 https://api.github.com/repos/pydata/xarray/issues/1555 MDEyOklzc3VlQ29tbWVudDMyNzU4MzUyNw== jhamman 2443309 2017-09-06T19:06:54Z 2017-09-06T19:06:54Z MEMBER

@kuchaale - Thanks for the report. You are trying to save a list of DataArray objects using save_mfdataset, which does not currently support saving DataArrays to netCDF.

Changing your line:

Python foo = xr.DataArray(data, coords=[times, locs], dims=['time', 'space']) foo.name = 'foo' to Python foo = xr.DataArray(data, coords=[times, locs], dims=['time', 'space']).to_dataset(name='foo')

corrects issue.

We could add a save_mfdataarray function or just handle the type conversion in save_mfdataset if that would be useful.

 
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   TypeError: DataArray.name or Dataset key must be either a string or None for serialization to netCDF files 255701612

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