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sproot(tck, mest=10)

Given the knots (>=8) and coefficients of a cubic B-spline return the roots of the spline.

Parameters

tck : tuple

A tuple (t,c,k) 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.

mest : int, optional

An estimate of the number of zeros (Default is 10).

Returns

zeros : ndarray

An array giving the roots of the spline.

Find the roots of a cubic B-spline.

See Also

BivariateSpline
UnivariateSpline
bisplev
bisplrep
spalde
splev
splint
splprep
splrep

Examples

See :

Back References

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

scipy.interpolate._fitpack_impl.splint scipy.interpolate._fitpack_impl.splrep scipy.interpolate._fitpack_impl.splev scipy.interpolate._fitpack_impl.splder scipy.interpolate._fitpack_impl.splprep scipy.interpolate._fitpack_impl.bisplrep

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /scipy/interpolate/_fitpack_impl.py#668
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