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/3322#issuecomment-533228830,https://api.github.com/repos/pydata/xarray/issues/3322,533228830,MDEyOklzc3VlQ29tbWVudDUzMzIyODgzMA==,6213168,2019-09-19T17:23:10Z,2019-09-19T17:23:10Z,MEMBER,"Hi @weipeng1999 ,
could you link the reference implementation in numpy/scipy?

I think this would be niche-ish. I would personally try to keep xarray free of functionality that only a tiny fraction of the users actually use - particularly when such functionality can be implemented with a trivial wrapper by the users themselves.
e.g. at the moment we have exactly one scipy function being wrapped, and that's linear interpolation which is useful to a lot of people.

I think this falls into a more general discussion on how niche a function must be in order to be excluded from the library - @shoyer what's your opinion?

Regardless, I would like to point you to <https://xarray-extras.readthedocs.io> which is a module that I created exactly for this kind of cases (PRs are welcome).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,495799492