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.
splint silently assumes that the spline function is zero outside the data interval (a, b).
The end-points of the integration interval.
A tuple (t,c,k) containing the vector of knots, the B-spline coefficients, and the degree of the spline (see splev
).
Non-zero to return optional output.
The resulting integral.
An array containing the integrals of the normalized B-splines defined on the set of knots.
Evaluate the definite integral of a B-spline.
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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