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/2962#issuecomment-492625308,https://api.github.com/repos/pydata/xarray/issues/2962,492625308,MDEyOklzc3VlQ29tbWVudDQ5MjYyNTMwOA==,10050469,2019-05-15T12:01:42Z,2019-05-15T12:01:42Z,MEMBER,Thanks! If you want you can also accept the stackoverflow answer for later reference,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,444367776
https://github.com/pydata/xarray/issues/2962#issuecomment-492624058,https://api.github.com/repos/pydata/xarray/issues/2962,492624058,MDEyOklzc3VlQ29tbWVudDQ5MjYyNDA1OA==,48764870,2019-05-15T11:57:28Z,2019-05-15T11:57:28Z,NONE,"Thank you @fmaussion, I will review that link! 

","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,444367776
https://github.com/pydata/xarray/issues/2962#issuecomment-492623485,https://api.github.com/repos/pydata/xarray/issues/2962,492623485,MDEyOklzc3VlQ29tbWVudDQ5MjYyMzQ4NQ==,10050469,2019-05-15T11:55:17Z,2019-05-15T11:55:17Z,MEMBER,"> But I can't figure out what was the code doing without create this new one ""common dimension""

It is doing what is called ""orthogonal indexing"", but with interpolation. The resulting shape of the output is then (2, 2, 2) in your case, but could be any (t, y, x) as given by the size of each dimension indexer. 

Maybe this helps a little: http://xarray.pydata.org/en/stable/indexing.html#vectorized-indexing","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,444367776
https://github.com/pydata/xarray/issues/2962#issuecomment-492617813,https://api.github.com/repos/pydata/xarray/issues/2962,492617813,MDEyOklzc3VlQ29tbWVudDQ5MjYxNzgxMw==,48764870,2019-05-15T11:34:32Z,2019-05-15T11:34:32Z,NONE,"> Yes, it is possible. It is a bit ""less intuitive"" at first sight, but powerful and documented here: http://xarray.pydata.org/en/stable/interpolation.html#advanced-interpolation
> 
> The call you need to make is:
> 
> ```python
> blah.interp(longitude=('z', lon), latitude=('z', lat))
> ```

Thank you so much! It works fine! I guess that we are creating a new one common dimension with only this points to interpolate the data. I did this:
```
lat = [44.25, 45.25]
lon = [-4.5, -5]
t = datetime.strptime('2000-02-28 01:00:00', '%Y-%m-%d %H:%M:%S')
vx = da.interp(longitude=('p', lon), latitude=('p', lat), time=('p', [t, t]))
```

But I can't figure out what was the code doing without create this new one ""common dimension"". ¿Do you have any clue about that?¿is the code making a subset interpolation between the coordinates?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,444367776
https://github.com/pydata/xarray/issues/2962#issuecomment-492612763,https://api.github.com/repos/pydata/xarray/issues/2962,492612763,MDEyOklzc3VlQ29tbWVudDQ5MjYxMjc2Mw==,10050469,2019-05-15T11:17:05Z,2019-05-15T11:17:05Z,MEMBER,"Yes, it is possible. It is a bit ""less intuitive"" at first sight, but powerful and documented here: http://xarray.pydata.org/en/stable/interpolation.html#advanced-interpolation

The call you need to make is:

```python
blah.interp(longitude=('z', lon), latitude=('z', lat))
```","{""total_count"": 2, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 1, ""eyes"": 0}",,444367776