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

Given the knots and coefficients of a B-spline, evaluate the definite integral of the smoothing polynomial between two given points.

Notes

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

Parameters

a, b : float

The end-points of the integration interval.

tck : tuple

A tuple (t,c,k) 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.

Evaluate the definite integral of a B-spline.

See Also

BivariateSpline
UnivariateSpline
bisplev
bisplrep
spalde
splev
splprep
splrep
sproot

Examples

See :

Back References

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

scipy.interpolate._fitpack_impl.splrep scipy.interpolate._fitpack_impl.sproot scipy.interpolate._fitpack_impl.splev scipy.interpolate._fitpack_impl.splprep scipy.interpolate._fitpack_impl.bisplrep

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