scipy 1.8.0 Pypi GitHub Homepage
Other Docs
NotesParametersReturnsBackRef
sproot(tck, mest=10)

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

Notes

Manipulating the tck-tuples directly is not recommended. In new code, prefer using the BSpline objects.

Parameters

tck : tuple or a BSpline object

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.

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

BSpline
bisplev
bisplrep
spalde
splev
splint
splprep
splrep

Examples

Examples are given in the tutorial <tutorial-interpolate_splXXX> .

See :

Back References

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

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_py.py#442
type: <class 'function'>
Commit: