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/757#issuecomment-556062845,https://api.github.com/repos/pydata/xarray/issues/757,556062845,MDEyOklzc3VlQ29tbWVudDU1NjA2Mjg0NQ==,14314623,2019-11-20T15:45:33Z,2019-11-20T15:45:33Z,CONTRIBUTOR,"Just stumbled across this issue. Is there a recommended workaround? 

I am usually doing this (specific to seasons):
```
import xarray as xr
ds = xr.tutorial.open_dataset('air_temperature')
airtemp_seasonal = ds.groupby('time.season').mean('time').sortby(xr.DataArray(['DJF','MAM','JJA', 'SON'],dims=['season']))
```
Thought this might help some folks who need to solve this problem.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,132774456