scipy.signal.bspline#
- scipy.signal.bspline(x, n)[source]#
B-spline basis function of order n.
- Parameters
- xarray_like
a knot vector
- nint
The order of the spline. Must be non-negative, i.e., n >= 0
- Returns
- resndarray
B-spline basis function values
Notes
Uses numpy.piecewise and automatic function-generator.
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