Cubic Interpolation With Derivatives In Numpy
A recent immigrant to Python and scientific computing with Python. This is a question to avoid any duplication of code that might already exist. I have a field that is sampled as a
Solution 1:
The scipy.interpolate.interp2d.__call__
method has options dx
and dy
to evaluate higher derivatives at point (at least since version 0.14.0).
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