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/3213#issuecomment-551134122,https://api.github.com/repos/pydata/xarray/issues/3213,551134122,MDEyOklzc3VlQ29tbWVudDU1MTEzNDEyMg==,2448579,2019-11-07T15:40:12Z,2019-11-07T15:40:12Z,MEMBER,"the `coords, data_vars, join ,compat` kwargs in that example are passed down to concat and merge, as appropriate. We do need more documentation on that ....","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,479942077
https://github.com/pydata/xarray/issues/3213#issuecomment-551125982,https://api.github.com/repos/pydata/xarray/issues/3213,551125982,MDEyOklzc3VlQ29tbWVudDU1MTEyNTk4Mg==,2448579,2019-11-07T15:23:56Z,2019-11-07T15:23:56Z,MEMBER,@El-minadero a lot of that overhead may be fixed on master and more recent xarray versions.  https://xarray.pydata.org/en/stable/io.html#reading-multi-file-datasets has some tips on quickly concatenating / merging datasets. It depends on the datasets you are joining...,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,479942077
https://github.com/pydata/xarray/issues/3213#issuecomment-526736529,https://api.github.com/repos/pydata/xarray/issues/3213,526736529,MDEyOklzc3VlQ29tbWVudDUyNjczNjUyOQ==,2448579,2019-08-30T20:21:28Z,2019-08-30T20:21:28Z,MEMBER,"`conda install -c conda-forge sparse`

Basically you need to install https://sparse.pydata.org/en/latest/ using either pip or conda.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,479942077