'multiquadric': sqrt((r/self.epsilon)**2 + 1)
'inverse': 1.0/sqrt((r/self.epsilon)**2 + 1)
'gaussian': exp(-(r/self.epsilon)**2)
'linear': r
'cubic': r**3
'quintic': r**5
'thin_plate': r**2 * log(r)
If callable, then it must take 2 arguments (self, r). The epsilon
parameter will be available as self.epsilon. Other keyword
arguments passed in will be available as well.
epsilonfloat, optional
Adjustable constant for gaussian or multiquadrics functions
- defaults to approximate average distance between nodes (which is
a good start).
smoothfloat, optional
Values greater than zero increase the smoothness of the
approximation. 0 is for interpolation (default), the function will
always go through the nodal points in this case.
normstr, callable, optional
A function that returns the ‘distance’ between two points, with
inputs as arrays of positions (x, y, z, …), and an output as an
array of distance. E.g., the default: ‘euclidean’, such that the result
is a matrix of the distances from each point in x1 to each point in
x2. For more options, see documentation of
scipy.spatial.distances.cdist.
modestr, optional
Mode of the interpolation, can be ‘1-D’ (default) or ‘N-D’. When it is
‘1-D’ the data d will be considered as 1-D and flattened
internally. When it is ‘N-D’ the data d is assumed to be an array of
shape (n_samples, m), where m is the dimension of the target domain.
>>> import numpy as np
>>> from scipy.interpolate import Rbf
>>> rng = np.random.default_rng()
>>> x, y, z, d = rng.random((4, 50))
>>> rbfi = Rbf(x, y, z, d)  # radial basis function interpolator instance
>>> xi = yi = zi = np.linspace(0, 1, 20)
>>> di = rbfi(xi, yi, zi)   # interpolated values
>>> di.shape
(20,)
Attributes:
Nint
The number of data points (as determined by the input arrays).
dindarray
The 1-D array of data values at each of the data coordinates xi.
xindarray
The 2-D array of data coordinates.
functionstr or callable
The radial basis function. See description under Parameters.
epsilonfloat
Parameter used by gaussian or multiquadrics functions. See Parameters.
smoothfloat
Smoothing parameter. See description under Parameters.
normstr or callable
The distance function. See description under Parameters.
modestr
Mode of the interpolation. See description under Parameters.
nodesndarray
A 1-D array of node values for the interpolation.
Ainternal property, do not use

Methods
__call__(*args)
Call self as a function.