scipy.signal.cubic#
- scipy.signal.cubic(x)[source]#
- A cubic B-spline. - This is a special case of - bspline, and equivalent to- bspline(x, 3).- Parameters
- xarray_like
- a knot vector 
 
- Returns
- resndarray
- Cubic B-spline basis function values 
 
 - Examples - We can calculate B-Spline basis function of several orders: - >>> from scipy.signal import bspline, cubic, quadratic >>> bspline(0.0, 1) 1 - >>> knots = [-1.0, 0.0, -1.0] >>> bspline(knots, 2) array([0.125, 0.75, 0.125]) - >>> np.array_equal(bspline(knots, 2), quadratic(knots)) True - >>> np.array_equal(bspline(knots, 3), cubic(knots)) True