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/4645#issuecomment-744712191,https://api.github.com/repos/pydata/xarray/issues/4645,744712191,MDEyOklzc3VlQ29tbWVudDc0NDcxMjE5MQ==,14808389,2020-12-14T21:09:49Z,2020-12-14T21:11:51Z,MEMBER,"sorry about that. I meant that the code examples still show the results using the randomly generated data, and this is the reason why the `doctests` CI fails.
For example, this: https://github.com/pydata/xarray/blob/4c8642560679c173c2968a2c4186a474bfe97f2d/xarray/core/concat.py#L178-L185
should be:
```python
>>> xr.concat([da.isel(y=slice(0, 1)), da.isel(y=slice(1, None))], dim=""y"")
array([[0, 1, 2],
[3, 4, 5]])
Coordinates:
* x (x) Hopefully it's fine as is.
no worries, as I said that's optional, we currently don't enforce the tool I had in mind for PRs. I can fix that in a different PR (or this one, if you don't mind me pushing to your branch).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,755626157