Module « scipy.interpolate »

Fonction splint - module scipy.interpolate

Signature de la fonction splint

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

Description

splint.__doc__

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

    Parameters
    ----------
    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.

    Returns
    -------
    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)

    Notes
    -----
    `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.

    See Also
    --------
    splprep, splrep, sproot, spalde, splev
    bisplrep, bisplev
    BSpline

    References
    ----------
    .. [1] P.W. Gaffney, The calculation of indefinite integrals of b-splines",
        J. Inst. Maths Applics, 17, p.37-41, 1976.
    .. [2] P. Dierckx, "Curve and surface fitting with splines", Monographs
        on Numerical Analysis, Oxford University Press, 1993.

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