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/3937#issuecomment-655726721,https://api.github.com/repos/pydata/xarray/issues/3937,655726721,MDEyOklzc3VlQ29tbWVudDY1NTcyNjcyMQ==,2448579,2020-07-08T20:01:59Z,2020-07-08T20:01:59Z,MEMBER,"@ahuang11 in #4210:

I want to do something similar as xesmf's weighted regridding, but without the need to install esmpy which has a lot of dependencies.

Are variations of the following possible?
```
ds.weighted(coslat_weights).coarsen(lat=2, lon=2).mean()
```

```
ds.coarsen(lat=2, lon=2).weighted(coslat_weights).mean()
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,594669577