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/1483#issuecomment-703191101,https://api.github.com/repos/pydata/xarray/issues/1483,703191101,MDEyOklzc3VlQ29tbWVudDcwMzE5MTEwMQ==,26384082,2020-10-04T02:32:44Z,2020-10-04T02:32:44Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,244016361
https://github.com/pydata/xarray/issues/1483#issuecomment-316773753,https://api.github.com/repos/pydata/xarray/issues/1483,316773753,MDEyOklzc3VlQ29tbWVudDMxNjc3Mzc1Mw==,1217238,2017-07-20T17:25:27Z,2017-07-20T17:25:27Z,MEMBER,"This wasn't intentional. If we can fix it in a straightforward fashion, we definitely should.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,244016361
https://github.com/pydata/xarray/issues/1483#issuecomment-316381473,https://api.github.com/repos/pydata/xarray/issues/1483,316381473,MDEyOklzc3VlQ29tbWVudDMxNjM4MTQ3Mw==,17701232,2017-07-19T13:12:03Z,2017-07-19T13:12:03Z,NONE,"@darothen 
yes you are right - this is definitely not a good way to apply mean - I was just using mean as a (poor) example trying not to over-complicate or distract from the issue.
But, as you suggest, this is what I do when needing to apply customised functions like from scipy... which, can end up being slow.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,244016361
https://github.com/pydata/xarray/issues/1483#issuecomment-316377854,https://api.github.com/repos/pydata/xarray/issues/1483,316377854,MDEyOklzc3VlQ29tbWVudDMxNjM3Nzg1NA==,4992424,2017-07-19T12:59:04Z,2017-07-19T12:59:04Z,NONE,"Instead of computing the mean over your non-stacked dimension by

``` python
dsg = dst.groupby('allpoints').mean()
```

why not just instead call

``` python
dsg = dst.mean('time', keep_attrs=True)
```

so that you just collapse the **time** dimension and preserve the attributes on your data? Then you can `unstack()` and everything should still be there. The idiom of stacking/applying/unstacking is really useful to fit your data to the interface of a numpy or scipy function that will do all the heavy lifting with a vectorized routine for you - isn't using `groupby` in this way really slow? 
","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,244016361
https://github.com/pydata/xarray/issues/1483#issuecomment-316363418,https://api.github.com/repos/pydata/xarray/issues/1483,316363418,MDEyOklzc3VlQ29tbWVudDMxNjM2MzQxOA==,17701232,2017-07-19T12:00:42Z,2017-07-19T12:00:42Z,NONE,"** Maybe not an issue for others or I am missing something...
Or perhaps this is intended behaviour?
Thanks for clarification!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,244016361