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NotesParametersReturns
distance_transform_bf(input, metric='euclidean', sampling=None, return_distances=True, return_indices=False, distances=None, indices=None)

Notes

Parameters

input : array_like
metric : {'euclidean', 'taxicab', 'chessboard'}, optional
sampling : float, or sequence of float, optional
return_distances : bool, optional
return_indices : bool, optional
distances : ndarray, optional
indices : int32 ndarray, optional

Returns

distances : ndarray, optional
indices : int32 ndarray, optional

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/ndimage/_morphology.py#1868
type: <class 'function'>
Commit: