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/3399#issuecomment-542224664,https://api.github.com/repos/pydata/xarray/issues/3399,542224664,MDEyOklzc3VlQ29tbWVudDU0MjIyNDY2NA==,13906519,2019-10-15T13:55:48Z,2019-10-15T13:55:48Z,NONE,"Great!

Seems I was simply missing the new dim *z* in my attempts. Could not translate to the new format... Thanks a bunch!!!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,507211596
https://github.com/pydata/xarray/issues/3399#issuecomment-542223429,https://api.github.com/repos/pydata/xarray/issues/3399,542223429,MDEyOklzc3VlQ29tbWVudDU0MjIyMzQyOQ==,10050469,2019-10-15T13:53:27Z,2019-10-15T13:53:27Z,MEMBER,"Hi, the docs is here: http://xarray.pydata.org/en/stable/indexing.html#more-advanced-indexing

So your example would read:

```python
import numpy as np
import xarray as xr
da = xr.DataArray(np.arange(16).reshape((4,4)), coords=[('lat', [40,45,50,55]), ('lon', [5,10,15,20])])

points = da.sel(lat=xr.DataArray([40.1, 42.3, 39.78], dims='z'), 
                lon=xr.DataArray([7.1, 6.2, 13.2], dims='z'), 
                method='nearest')
```

Arguably, the ""more advanced indexing"" title could be renamed to something more explicit.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,507211596