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/3946#issuecomment-1115437279,https://api.github.com/repos/pydata/xarray/issues/3946,1115437279,IC_kwDOAMm_X85CfDjf,26384082,2022-05-02T22:37:47Z,2022-05-02T22:37:47Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,595813283
https://github.com/pydata/xarray/issues/3946#issuecomment-611208139,https://api.github.com/repos/pydata/xarray/issues/3946,611208139,MDEyOklzc3VlQ29tbWVudDYxMTIwODEzOQ==,32069530,2020-04-08T21:37:45Z,2020-04-08T21:37:45Z,NONE,"@TomNicholas ,
Thanks for yor help. That is exactly what I wanted to do but, as you said there is probably a more efficent way to do it.

 @dcherian I needed this function because I sometimes use the groupby_bins() function followed by a concatenantion along a new dimension. This can drastically increase memory due to the multiplication of other variables in a Dataset.
Independantly of my usage, having a function that remove redundant data seems interessant to me. There is probably other combination of function that can accidently duplicate data. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,595813283