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/2828#issuecomment-475198404,https://api.github.com/repos/pydata/xarray/issues/2828,475198404,MDEyOklzc3VlQ29tbWVudDQ3NTE5ODQwNA==,81219,2019-03-21T11:44:32Z,2019-03-21T11:44:32Z,CONTRIBUTOR,"Made the change. 
I had to drop the quantile dimension for scalar `q` after the apply to maintain the same behavior as `DataArray.quantile`, but it got me wondering if keeping the quantile dimension even for scalar `q` should not be the default. ","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,423405197
https://github.com/pydata/xarray/pull/2828#issuecomment-474998958,https://api.github.com/repos/pydata/xarray/issues/2828,474998958,MDEyOklzc3VlQ29tbWVudDQ3NDk5ODk1OA==,81219,2019-03-20T19:42:45Z,2019-03-20T19:42:45Z,CONTRIBUTOR,"I just realized that I could do 
```da.groupby('time.month').apply(xr.DataArray.quantile, q=.5, dim='time')```
which seems to yield the same results. 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,423405197