- cupyx.scipy.signal.cspline1d_eval(cj, newx, dx=1.0, x0=0)#
Evaluate a cubic spline at the new set of points.
dx is the old sample-spacing while x0 was the old origin. In other-words the old-sample points (knot-points) for which the cj represent spline coefficients were at equally-spaced points of:
oldx = x0 + j*dx j=0…N-1, with N=len(cj)
Edges are handled using mirror-symmetric boundary conditions.
res – Evaluated a cubic spline points.
- Return type
Compute cubic spline coefficients for rank-1 array.