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/2805#issuecomment-471978276,https://api.github.com/repos/pydata/xarray/issues/2805,471978276,MDEyOklzc3VlQ29tbWVudDQ3MTk3ODI3Ng==,23265127,2019-03-12T12:23:23Z,2019-03-12T12:23:23Z,NONE,"Hi shoyer, many thanks for your quick reply. Converting the xarray to a DataFrame indeed does the job and I will use this solution for the time being. Nevertheless, to me the approach seems rather like an ad-hoc solution since it requires a series of conversions / function calls and I feel like there should be some built-in solution from xarray. In particular, in the above solution, you lose track of what are the coordinates and what is the actual data (all is stored in a single NamedTuple), which requires an additional step to separate the two data structures. Anyway, thanks for your help! If you find another solution, please let me know!","{""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,419543087