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__call__(self, x, nu=0, extrapolate=None)

Parameters

x : array_like

points to evaluate the spline at.

nu: int, optional :

derivative to evaluate (default is 0).

extrapolate : bool or 'periodic', optional

whether to extrapolate based on the first and last intervals or return nans. If 'periodic', periodic extrapolation is used. Default is :None:None:`self.extrapolate`.

Returns

y : array_like

Shape is determined by replacing the interpolation axis in the coefficient array with the shape of x.

Evaluate a spline function.

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


GitHub : /scipy/interpolate/_bsplines.py#422
type: <class 'function'>
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