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Module « scipy.interpolate »

Fonction splint - module scipy.interpolate

Signature de la fonction splint

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

Description

help(scipy.interpolate.splint)

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

.. legacy:: function

    Specifically, we recommend constructing a `BSpline` object and using its
    ``integrate`` method.

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)

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

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.

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>`.

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