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/pull/3262#issuecomment-747145009,https://api.github.com/repos/pydata/xarray/issues/3262,747145009,MDEyOklzc3VlQ29tbWVudDc0NzE0NTAwOQ==,1386642,2020-12-17T01:29:12Z,2020-12-17T01:29:12Z,CONTRIBUTOR,I'm going to close this since I won't be working on it any longer.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,484863660
https://github.com/pydata/xarray/pull/3262#issuecomment-549085085,https://api.github.com/repos/pydata/xarray/issues/3262,549085085,MDEyOklzc3VlQ29tbWVudDU0OTA4NTA4NQ==,1386642,2019-11-02T22:01:10Z,2019-11-02T22:01:10Z,CONTRIBUTOR,"Unfortunately, I don’t think I have much time now to contribute to a general purpose solution leveraging xarray’s built-in indexing. So feel free to add to or close this PR. To be successful, I would need to study xarray’s indexing internals more since I don’t think it is as easily implemented as a routine calling DataArray methods. Some custom numba code I wrote fits in my brain much better, and is general enough for my purposes when wrapped with `xr.apply_ufunc`. I encourage someone else to pick up where I left off, or we could close this PR.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,484863660
https://github.com/pydata/xarray/pull/3262#issuecomment-525157967,https://api.github.com/repos/pydata/xarray/issues/3262,525157967,MDEyOklzc3VlQ29tbWVudDUyNTE1Nzk2Nw==,1386642,2019-08-27T06:26:49Z,2019-08-27T06:26:49Z,CONTRIBUTOR,"Thanks so much for the help. This is a good learning experience for me.

> That potentially would let you avoid redundant operations on the entire Dataset object.

Yes. This is where I got stuck TBH.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,484863660
https://github.com/pydata/xarray/pull/3262#issuecomment-525025890,https://api.github.com/repos/pydata/xarray/issues/3262,525025890,MDEyOklzc3VlQ29tbWVudDUyNTAyNTg5MA==,1386642,2019-08-26T20:47:33Z,2019-08-26T20:48:03Z,CONTRIBUTOR,"@shoyer Thanks for the comments. I was struggling to incorporate it into `Dataset.interp` since `core.missing` is a pretty complicated. Would it be worth refactoring that module to clarify how `interp` calls are mapped to a given function? Also, most of the methods in `interp` work like `Dataset -> Variables -> Numpy arrays`, but the method you proposed above operates on the `Dataset` level, so it doesn't quite fit into `core.missing.interp`.

The interpolation code I was working with doesn't regrid the coordinates appropriately, so we would need to do that too.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,484863660