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https://github.com/pydata/xarray/issues/2223#issuecomment-396050056 https://api.github.com/repos/pydata/xarray/issues/2223 396050056 MDEyOklzc3VlQ29tbWVudDM5NjA1MDA1Ng== 6815844 2018-06-10T13:42:59Z 2018-06-10T13:42:59Z MEMBER

I want to keep this issue open, as the performance can be increased for such a case.

In the above example, python arr.interp(tension=new_tension, resistance=new_resistance) and python arr.interp(tension=new_tension).interp(resistance=new_resistance) gives the same result (for 'linear' and 'nearest' methods), but the latter runs much faster. This difference looks similar to the difference between our orthogonal indexing and vectorized indexing. We may need orthogonal interpolation path, which would significantly increase the performance in some cases.

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