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-556078259,https://api.github.com/repos/pydata/xarray/issues/757,556078259,MDEyOklzc3VlQ29tbWVudDU1NjA3ODI1OQ==,2448579,2019-11-20T16:12:40Z,2019-11-20T16:12:40Z,MEMBER,I use `reindex` instead of `sortby`,"{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,132774456
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
https://github.com/pydata/xarray/issues/757#issuecomment-370123586,https://api.github.com/repos/pydata/xarray/issues/757,370123586,MDEyOklzc3VlQ29tbWVudDM3MDEyMzU4Ng==,1396390,2018-03-03T06:27:13Z,2018-03-03T06:27:13Z,NONE,"Ahh, so it's sorted, instead of keeping the original order.

I was expecting `DataArray.groupby().reduce` would work like `np.apply_along_axis`, and used the `data` of the result directly.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,132774456
https://github.com/pydata/xarray/issues/757#issuecomment-182676967,https://api.github.com/repos/pydata/xarray/issues/757,182676967,MDEyOklzc3VlQ29tbWVudDE4MjY3Njk2Nw==,1217238,2016-02-11T02:32:59Z,2016-02-12T00:15:48Z,MEMBER,"For what it's worth, I don't think we have any good solutions short of
adding our own array type do to Categorical in xarray. We could set
sort=False in some cases when we call pd.factorize but that's not a great
alternative.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,132774456
https://github.com/pydata/xarray/issues/757#issuecomment-182671718,https://api.github.com/repos/pydata/xarray/issues/757,182671718,MDEyOklzc3VlQ29tbWVudDE4MjY3MTcxOA==,2443309,2016-02-11T02:01:05Z,2016-02-11T02:01:05Z,MEMBER,"Hmmm, a mystery.  I'll look into this a bit more.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,132774456
https://github.com/pydata/xarray/issues/757#issuecomment-182659762,https://api.github.com/repos/pydata/xarray/issues/757,182659762,MDEyOklzc3VlQ29tbWVudDE4MjY1OTc2Mg==,1217238,2016-02-11T00:48:18Z,2016-02-11T00:48:18Z,MEMBER,"I agree this is annoying, but I don't think your diagnosis is correct here. The `groups` property isn't used by any internal routines AFAICT. The issue is that groups _are_ sorted, but as text rather than ordered categorical -- notice that the labels are ordered alphabetically.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,132774456