sproot(tck, mest=10)
Given the knots (>=8) and coefficients of a cubic B-spline return the roots of the spline.
Manipulating the tck-tuples directly is not recommended. In new code, prefer using the BSpline
objects.
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. The number of knots must be >= 8, and the degree must be 3. The knots must be a montonically increasing sequence.
An estimate of the number of zeros (Default is 10).
An array giving the roots of the spline.
Find the roots of a cubic B-spline.
Examples are given in the tutorial <tutorial-interpolate_splXXX>
.
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.interpolate._fitpack_py.splrep
scipy.interpolate._fitpack_py.splder
scipy.interpolate._fitpack_py.splev
scipy.interpolate._fitpack_py.splint
scipy.interpolate._fitpack_impl.splder
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