_make_interp_per_full_matr(x, y, t, k)

Notes

t is supposed to be taken on circle.

Parameters

x : 1-D array, shape (n,)

Values of x - coordinate of a given set of points.

y : 1-D array, shape (n,)

Values of y - coordinate of a given set of points.

t : 1-D array, shape(n+2*k,)

Vector of knots.

k : int

The maximum degree of spline

Returns

c : 1-D array, shape (n+k-1,)

B-spline coefficients

Returns a solution of a system for B-spline interpolation with periodic boundary conditions. First k - 1 rows of matrix are condtions of periodicity (continuity of k - 1 derivatives at the boundary points). Last n rows are interpolation conditions. RHS is k - 1 zeros and n ordinates in this case.

Examples

See :

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

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GitHub : /scipy/interpolate/_bsplines.py#943
type: <class 'function'>
Commit: