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-533563714,https://api.github.com/repos/pydata/xarray/issues/3322,533563714,MDEyOklzc3VlQ29tbWVudDUzMzU2MzcxNA==,38346144,2019-09-20T13:54:40Z,2019-09-20T14:02:46Z,NONE,"> 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).

I realize that I am a totally green finger
here are my trial implement
I think I have long way to make it commitable

[qr.txt](https://github.com/pydata/xarray/files/3636256/qr.txt)
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