How to use Interpolation with Radial Basis Function in Scipy explain with example

This recipe helps you use Interpolation with Radial Basis Function in Scipy explain with example

Recipe Objective - How to use Interpolation with Radial Basis Function in Scipy explain with example?

Interpolation with Radial Basis Function:

Radial Basis Function is an advanced function for making the high-order accurate interpolates of non-linear and unstructured data.

SciPy provides "Rbf()" function for that.

Example:- Find interpolation using rdf() function for 3.1, 3.2... 3.9:

from scipy.interpolate import Rbf
import numpy as np

x = np.arange(15)
y = x**2 + np.sin(x) + 3

interpol_fun = Rbf(x, y)

new_arr = interpol_fun(np.arange(3.1, 4, 0.1))

print(new_arr)

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