`scipy.interpolate._fitpack_py:splint`

Signature

def splint ( a , b , tck , full_output = 0 )

Evaluate the definite integral of a B-spline between two given points.

a, b : float: The end-points of the integration interval.
tck : tuple or a BSpline instance: If a tuple, then it should be a sequence of length 3, containing the vector of knots, the B-spline coefficients, and the degree of the spline (see splev).
full_output : int, optional: Non-zero to return optional output.

integral : float: The resulting integral.
wrk : ndarray: An array containing the integrals of the normalized B-splines defined on the set of knots. (Only returned if full_output is non-zero)

splint silently assumes that the spline function is zero outside the data interval (a, b).

Manipulating the tck-tuples directly is not recommended. In new code, prefer using the BSpline objects.

Array API Standard Support

splint is not in-scope for support of Python Array API Standard compatible backends other than NumPy.

See dev-arrayapi for more information.

Examples are given :ref:`in the tutorial <tutorial-interpolate_splXXX>`.