griddata(points, values, xi, method='linear', fill_value=nan, rescale=False)

Notes

Parameters

points : 2-D ndarray of floats with shape (n, D), or length D tuple of 1-D ndarrays with shape (n,).

values : ndarray of float or complex, shape (n,)

xi : 2-D ndarray of floats with shape (m, D), or length D tuple of ndarrays broadcastable to the same shape.

method : {'linear', 'nearest', 'cubic'}, optional

fill_value : float, optional

rescale : bool, optional

Returns

ndarray

See Also

CloughTocher2DInterpolator

LinearNDInterpolator

NearestNDInterpolator

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/_ndgriddata.py#119
type: <class 'function'>
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