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-1047254700,https://api.github.com/repos/pydata/xarray/issues/6059,1047254700,IC_kwDOAMm_X84-a9as,81219,2022-02-21T21:59:22Z,2022-02-21T21:59:22Z,CONTRIBUTOR,"The alignment of data and weights is not done automatically. So I agree this would be ideal, but I'll need some guidance to make it happen without the `align` call. 

This is the error I get 
```python
ValueError: operand to apply_ufunc has required core dimensions ['dim_0', 'dim_1'], but some of these dimensions are absent on an input variable: ['dim_1']
```","{""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-1043394963,https://api.github.com/repos/pydata/xarray/issues/6059,1043394963,IC_kwDOAMm_X84-MPGT,81219,2022-02-17T20:26:50Z,2022-02-17T20:26:50Z,CONTRIBUTOR,"@mathause I'm not 100% confident the methods other than linear work as expected, so I suggest we do not expose `method` until a robust test suite can confirm results are valid. 
","{""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-1035083891,https://api.github.com/repos/pydata/xarray/issues/6059,1035083891,IC_kwDOAMm_X849siBz,81219,2022-02-10T15:52:34Z,2022-02-10T15:52:34Z,CONTRIBUTOR,"We have local changes that expose `method` in the public API, and compare results against numpy for the case with uniform weights to confirm results are identical.

Do you want us to push those changes here ?","{""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-1032858964,https://api.github.com/repos/pydata/xarray/issues/6059,1032858964,IC_kwDOAMm_X849kC1U,81219,2022-02-08T17:13:14Z,2022-02-08T17:13:14Z,CONTRIBUTOR,"Correct, it's not exposed yet because I don't have the bandwidth to create tests for all the different methods.

The equal weight case could be tested against numpy fairly easily though. ","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1076265104
https://github.com/pydata/xarray/pull/6059#issuecomment-1032829729,https://api.github.com/repos/pydata/xarray/issues/6059,1032829729,IC_kwDOAMm_X849j7sh,81219,2022-02-08T16:44:21Z,2022-02-08T16:44:21Z,CONTRIBUTOR,@mathause Should this PR be amended to account for #6108 ?,"{""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-1011450968,https://api.github.com/repos/pydata/xarray/issues/6059,1011450968,IC_kwDOAMm_X848SYRY,81219,2022-01-12T21:06:01Z,2022-01-12T21:06:01Z,CONTRIBUTOR,"I had the same interrogation. My guess is that the `DataArray.quantile` and `DataArrayWeighted.quantile` should have similar signatures. 

The way I see it is that another PR would bring the `DataArray.quantile` signature up to date with numpy 1.22, which includes the 9 h types, and harmonize `DataArrayWeighted.quantile` with it. 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1076265104