scipy.interpolate.BSpline.basis_element

classmethod BSpline.basis_element(t, extrapolate=True)

Return a B-spline basis element B(x | t[0], ..., t[k+1]).

Parameters:

t : ndarray, shape (k+1,)

internal knots

extrapolate : bool, optional

whether to extrapolate beyond the base interval, t[0] .. t[k+1], or to return nans. Default is True.

Returns:

basis_element : callable

A callable representing a B-spline basis element for the knot vector t.

Notes

The order of the b-spline, k, is inferred from the length of t as len(t)-2. The knot vector is constructed by appending and prepending k+1 elements to internal knots t.

Examples

Construct a cubic b-spline:

>>> from scipy.interpolate import BSpline
>>> b = BSpline.basis_element([0, 1, 2, 3, 4])
>>> k = b.k
>>> b.t[k:-k]
array([ 0.,  1.,  2.,  3.,  4.])
>>> k
3

Construct a second order b-spline on [0, 1, 1, 2], and compare to its explicit form:

>>> t = [-1, 0, 1, 1, 2]
>>> b = BSpline.basis_element(t[1:])
>>> def f(x):
...     return np.where(x < 1, x*x, (2. - x)**2)

>>> import matplotlib.pyplot as plt
>>> fig, ax = plt.subplots()
>>> x = np.linspace(0, 2, 51)
>>> ax.plot(x, b(x), 'g', lw=3)
>>> ax.plot(x, f(x), 'r', lw=8, alpha=0.4)
>>> ax.grid(True)
>>> plt.show()

(Source code)