Module « scipy.interpolate »

Fonction sproot - module scipy.interpolate

Signature de la fonction sproot

def sproot(tck, mest=10) 

Description

sproot.__doc__

    Find the roots of a cubic B-spline.

    Given the knots (>=8) and coefficients of a cubic B-spline return the
    roots of the spline.

    Parameters
    ----------
    tck : tuple or a BSpline object
        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.
        The number of knots must be >= 8, and the degree must be 3.
        The knots must be a montonically increasing sequence.
    mest : int, optional
        An estimate of the number of zeros (Default is 10).

    Returns
    -------
    zeros : ndarray
        An array giving the roots of the spline.

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

    See also
    --------
    splprep, splrep, splint, spalde, splev
    bisplrep, bisplev
    BSpline


    References
    ----------
    .. [1] C. de Boor, "On calculating with b-splines", J. Approximation
        Theory, 6, p.50-62, 1972.
    .. [2] M. G. Cox, "The numerical evaluation of b-splines", J. Inst. Maths
        Applics, 10, p.134-149, 1972.
    .. [3] 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>`.