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-505057636,https://api.github.com/repos/pydata/xarray/issues/2828,505057636,MDEyOklzc3VlQ29tbWVudDUwNTA1NzYzNg==,1217238,2019-06-24T15:21:36Z,2019-06-24T15:21:36Z,MEMBER,Thanks @huard !,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,423405197
https://github.com/pydata/xarray/pull/2828#issuecomment-475030136,https://api.github.com/repos/pydata/xarray/issues/2828,475030136,MDEyOklzc3VlQ29tbWVudDQ3NTAzMDEzNg==,1217238,2019-03-20T21:11:44Z,2019-03-20T21:11:44Z,MEMBER,"> 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.

Yes, I think this would be the preferred way to implement this :)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,423405197