id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
38849807,MDU6SXNzdWUzODg0OTgwNw==,191,interpolate/sample array at point,2835718,closed,0,,,14,2014-07-27T20:28:42Z,2019-01-14T21:17:39Z,2019-01-14T21:17:39Z,NONE,,,,"This looks like an excellent project, thanks for all the work.

I am wondering if there is functionality for interpolation or sampling of a Dataset at a point (or sequence of points).  The SciPy way of doing this uses [scipy.ndimage.map_coordinates](http://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.interpolation.map_coordinates.html) and is completely backwards for (geo)spatial data, requiring the point's coordinates to be converted to 'array' coordinates before interpolation.

Does this already have an implementation, given how super common an operation it is?  If not, would it be difficult to wrap [pandas.Series.interpolate()](http://pandas.pydata.org/pandas-docs/dev/generated/pandas.Series.interpolate.html) up?  I might write a function to do this, but I don't known the xray internals well enough to know where to stick it.

Thanks,
Richard
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