splprep(x, w=None, u=None, ub=None, ue=None, k=3, task=0, s=None, t=None, full_output=0, nest=None, per=0, quiet=1)

Notes

Parameters

x : array_like

w : array_like, optional

u : array_like, optional

ub, ue : int, optional

k : int, optional

task : int, optional

s : float, optional

t : int, optional

full_output : int, optional

nest : int, optional

per : int, optional

quiet : int, optional

Returns

tck : tuple

u : array

fp : float

ier : int

msg : str

See Also

BivariateSpline

UnivariateSpline

bisplev

bisplrep

spalde

splev

splint

splrep

sproot

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/_fitpack_impl.py#107
type: <class 'function'>
Commit: