- scipy.interpolate.splint(a, b, tck, full_output=0)#
Evaluate the definite integral of a B-spline between two given points.
- a, bfloat
The end-points of the integration interval.
- tcktuple 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
- full_outputint, optional
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. (Only returned if full_output is non-zero)
splintsilently 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
P.W. Gaffney, The calculation of indefinite integrals of b-splines”, J. Inst. Maths Applics, 17, p.37-41, 1976.
P. Dierckx, “Curve and surface fitting with splines”, Monographs on Numerical Analysis, Oxford University Press, 1993.
Examples are given in the tutorial.