Improve Map Interpolation Performance #672
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Following the stack over flow [thread](https://stackoverflow.com/questions/34812372/interpolate-unstructured-x-y-z-data-on-best-grid-based-on-nearest-neighbour-dist). We try to improve map interpolation performance by 1) Using cKDTree 2) Vectorize InterpolateAndExtrapolate class call function
Check if the input is vectors or not and choose between __call__ or v__call__
feigaodm
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* Allow passing nd array to InterpolatingMap Part of #672, then retracted in #676. Now, instead of np.vectorize, this pr uses python build-in map function. The change made here won't affect processing speed, but only to enable inputting something like ((x0, x1 ... xi), (y0, y1 ... yi), (z0, z1 ... zi)) and returns (v0, v1 ... vi) * more if's to speed up npoints input
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Following the stack over flow thread.
We try to improve map interpolation performance by
Here is a computing time comparison between different codes
