- scipy.signal.qspline1d_eval(cj, newx, dx=1.0, x0=0)¶
Evaluate a quadratic 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.