interpn(points, values, xi, method='linear', bounds_error=True, fill_value=nan)

Notes

Parameters

points : tuple of ndarray of float, with shapes (m1, ), ..., (mn, )

values : array_like, shape (m1, ..., mn, ...)

xi : ndarray of shape (..., ndim)

method : str, optional

bounds_error : bool, optional

fill_value : number, optional

Returns

values_x : ndarray, shape xi.shape[:-1] + values.shape[ndim:]

See Also

LinearNDInterpolator

NearestNDInterpolator

RectBivariateSpline

RegularGridInterpolator

:None:None:`interpn`

scipy.ndimage.map_coordinates

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/_rgi.py#516
type: <class 'function'>
Commit: