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  • shoyer · 2 ✖

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  • Best way to find data variables by standard_name · 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
216947679 https://github.com/pydata/xarray/issues/567#issuecomment-216947679 https://api.github.com/repos/pydata/xarray/issues/567 MDEyOklzc3VlQ29tbWVudDIxNjk0NzY3OQ== shoyer 1217238 2016-05-04T17:54:58Z 2016-05-04T17:54:58Z MEMBER

get_variables_by_attributes does seem generic enough that we can safely add it to xarray. For our version, I would make this a Dataset method and always return another Dataset (no strict flag). Pulling out the single variable of a Dataset as a DataArray should be a separate method, e.g., .item() like the NumPy method.

 
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   Best way to find data variables by standard_name 105688738
139053466 https://github.com/pydata/xarray/issues/567#issuecomment-139053466 https://api.github.com/repos/pydata/xarray/issues/567 MDEyOklzc3VlQ29tbWVudDEzOTA1MzQ2Ng== shoyer 1217238 2015-09-09T21:38:54Z 2015-09-09T21:38:54Z MEMBER

I would probably make this return an xray.Dataset object instead of a plain dict, but otherwise this looks about right:

python def get_std_name_vars(ds,std_name): return ds[[k for k, v in ds.data_vars.iteritems() if 'standard_name' in v.attrs and std_name in v.standard_name]]

I don't think there's a better way to do this currently. Hypothetically, we could add this to a CF-specific API for xray, e.g., as discussed in #461.

 
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   Best way to find data variables by standard_name 105688738

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