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/4008#issuecomment-624196631,https://api.github.com/repos/pydata/xarray/issues/4008,624196631,MDEyOklzc3VlQ29tbWVudDYyNDE5NjYzMQ==,1217238,2020-05-05T17:27:14Z,2020-05-05T17:27:14Z,MEMBER,I think `resample` for numeric axes would make a lot of sense -- it's weird that it's currently entirely datetime specific. This could probably be implemented on top of `groupby_bins`.,"{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,607229563
https://github.com/pydata/xarray/issues/4008#issuecomment-619977995,https://api.github.com/repos/pydata/xarray/issues/4008,619977995,MDEyOklzc3VlQ29tbWVudDYxOTk3Nzk5NQ==,2448579,2020-04-27T13:14:16Z,2020-04-27T13:14:16Z,MEMBER,"Thanks for bringing this up, @chfite.

For a regularly spaced grid, `coarsen` will do what you want but note that it, like `rolling`, works in ""index space"" i.e. you specify number of points along each dimension: https://xarray.pydata.org/en/stable/computation.html#coarsen-large-arrays

`resample` builds on top of groupby so I think it would make sense to extend it to use `groupby_bins` when necessary. Then we would get ""label space"" coarsening.
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