scipy.interpolate. barycentric_interpolate (xi, yi, x, axis = 0, *, der = 0, rng = None) [source] # Convenience function for polynomial interpolation. Constructs a polynomial that passes through a given set of points, then evaluates the polynomial.

class scipy.interpolate. BarycentricInterpolator (xi, yi = None, axis = 0, *, wi = None, rng = None) [source] # Interpolating polynomial for a set of points. Constructs a polynomial that passes through a given set of points.

You can give the Delaunay triangulation to scipy.interpolate.LinearNDInterpolator together with the set of Z-values, and it should do the job for you. If you really want to do the interpolation yourself, you can build it up from find_simplex and transform.

Sep 10, 2019 · In scipy.spatial there is the Delaunay function. The documentation includes an example of how to calculate barycentric coordinates. Following that example, the following code will calculate barycentric coordinates using a loop. b0[ii,:] = simp.transform[s[ii],:dim].dot((samples[ii] - simp.transform[s[ii],dim]).transpose())

The following are 3 code examples of scipy.interpolate.barycentric_interpolate(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.

scipy.interpolate.barycentric_interpolate() is a function in SciPy which is used to perform polynomial interpolation using the Barycentric Lagrange method. It constructs an interpolating polynomial that passes through a set of given points (xi, yi).

Barycentric (Lagrange with improved stability) interpolator (C∞ smooth). Constructs a polynomial that passes through a given set of points. Allows evaluation of the polynomial and all its derivatives, efficient changing of the y-values to be interpolated, and updating by adding more x- …

scipy.interpolate.BarycentricInterpolator() is a Python function that performs polynomial interpolation using the Barycentric Lagrange interpolation formula. This method is particularly efficient and numerically stable for higher-degree polynomials compared to other forms of polynomial interpolation.

This is a pure Python package which provides routines for rational and polynomial approximation for real and complex functions through the so-called barycentric representation. The advantage of this representation is (often significantly) improved stability over classical approaches.

Jul 6, 2017 · barycentric_interp_1d, a Python code which defines and evaluates the Lagrange polynomial p(x) which interpolates a set of data, so that p(x(i)) = y(i). Because a barycentric formulation is used, polynomials of very high degree can safely be used.