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SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering.

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For scattered data at points with no structure, try inverse-distance-weighted-idw-interpolation-with-python. This combines scipy's fast K-d_trees with inverse-distance aka radial kernels: $\qquad int …
answered May 6 '18 by denis
3
votes
use. To set a target rmserror like 1 % of max |y|, set s like this: s = N * (rmserror * np.fabs(y).max())**2 UnivariateSpline( x, y, s=s ) s=None uses a not-very-useful value. """ scipy … scipy.interpolate import UnivariateSpline # $scipy/interpolate/fitpack2.py # http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html # InterpolatedUnivariateSpline : Subclass with smoothing …
answered May 23 '13 by denis