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/6059#issuecomment-1033607850,https://api.github.com/repos/pydata/xarray/issues/6059,1033607850,IC_kwDOAMm_X849m5qq,16700639,2022-02-09T10:30:40Z,2022-02-09T10:40:08Z,CONTRIBUTOR,"@mathause This PR goes beyond what is currently implemented in numpy. 
For now, all weighted quantiles PR on numpy are more or less based on ""linear"" method (method 7) and none have been merged. I plan to work on integrating weights with the other interpolation methods but don't have the time right now. I'll probably pick some ideas from here.


As for the _numerics_ here, everything looks good to me.
The only limitations I can see are:
- This only handles sampling weights, which is fine I guess.
- Some interpolation methods are missing, they can be added later.
- ~A `nan_weighted_quantile` could also be interesting to add~
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1076265104
https://github.com/pydata/xarray/pull/6059#issuecomment-1021975396,https://api.github.com/repos/pydata/xarray/issues/6059,1021975396,IC_kwDOAMm_X8486htk,16700639,2022-01-26T08:32:56Z,2022-02-07T16:57:56Z,CONTRIBUTOR,"FYI, weighted quantiles topic will be discussed in numpy's triage meeting of today (17:00 UTC). I'm not a maintainer but I'm sure you are welcomed to join in if you are interested.
Meeting information: https://hackmd.io/68i_JvOYQfy9ERiHgXMPvg","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1076265104