issue_comments: 492617813

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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?

 
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