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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
475055360 https://github.com/pydata/xarray/issues/1371#issuecomment-475055360 https://api.github.com/repos/pydata/xarray/issues/1371 MDEyOklzc3VlQ29tbWVudDQ3NTA1NTM2MA== shoyer 1217238 2019-03-20T22:34:22Z 2019-03-20T22:34:22Z MEMBER

NumPy does have a pretty bad review back-log :(

On Fri, Mar 15, 2019 at 11:01 AM chunweiyuan notifications@github.com wrote:

My personal hope is to keep this thread open just for the record. But given the non-activity on the numpy end, I honestly can't promise any resolution to this issue in the near future. Thanks!

PS I persist because some people do seem to appreciate that PR and have forked it for their own use :)

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/pydata/xarray/issues/1371#issuecomment-473387146, or mute the thread https://github.com/notifications/unsubscribe-auth/ABKS1gzAFmpKOTSi0ljefC46A79vp8m1ks5vW9_8gaJpZM4M73c4 . 

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   Weighted quantile 221366244
293726771 https://github.com/pydata/xarray/issues/1371#issuecomment-293726771 https://api.github.com/repos/pydata/xarray/issues/1371 MDEyOklzc3VlQ29tbWVudDI5MzcyNjc3MQ== shoyer 1217238 2017-04-12T22:35:48Z 2017-04-12T22:35:48Z MEMBER

I'm sure this is useful, but we try to avoid putting new numeric methods in xarray itself. Would the underlying weighted quantile method (on NumPy arrays) be appropriate for numpy or scipy? Then we might consider adding a wrapper function in xarray (though again, we have to be cautious to avoid overloading xarray with too many methods).

 
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