html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/1906#issuecomment-368436995,https://api.github.com/repos/pydata/xarray/issues/1906,368436995,MDEyOklzc3VlQ29tbWVudDM2ODQzNjk5NQ==,167802,2018-02-26T09:19:32Z,2018-02-26T09:19:32Z,CONTRIBUTOR,"I'm satisfied with this answer, thanks for taking the time !","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,296673404
https://github.com/pydata/xarray/issues/1906#issuecomment-365284450,https://api.github.com/repos/pydata/xarray/issues/1906,365284450,MDEyOklzc3VlQ29tbWVudDM2NTI4NDQ1MA==,167802,2018-02-13T14:35:02Z,2018-02-13T14:35:02Z,CONTRIBUTOR,"> Also DataArrays can have attributes, so storing them as attributes could lead to quite intricate situations ;)

I agree totally, but when writing to netcdf, I was expecting xarray to take out the DataArrays out of attributes, replace them with their name, and save them as separate array in the netcdf files. But maybe that's not xarray's job do deal with ? ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,296673404