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

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.

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 :None:None:`full_output` is non-zero)

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

See Also

BSpline

bisplev

bisplrep

spalde

splev

splprep

splrep

sproot

Examples

Examples are given in the tutorial <tutorial-interpolate_splXXX> .

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.interpolate._fitpack_py.sproot scipy.interpolate._fitpack_py.splev scipy.interpolate._fitpack_py.splint scipy.interpolate._fitpack_py.splrep

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