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/3277#issuecomment-527553471,https://api.github.com/repos/pydata/xarray/issues/3277,527553471,MDEyOklzc3VlQ29tbWVudDUyNzU1MzQ3MQ==,2448579,2019-09-03T17:15:22Z,2019-09-03T17:15:22Z,MEMBER,"Yikes. Thanks @p-d-moore .

Looks like the rolling mean changes the chunks

```
>>> print(dat_chunk.chunks)
((7653,), (20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20))

>>> print(dat_mean.chunks)
((5, 7648), (20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20))
```

A workaround is to do `dat_mean = dat_mean.chunk({'day': None})` and then calculate the rolling `std`","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,488547784