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bundles / scipy latest / scipy / spatial / distance / euclidean

function

scipy.spatial.distance:euclidean

source: /scipy/spatial/distance.py :504

Signature

def   euclidean ( u v w = None )

Summary

Computes the Euclidean distance between two 1-D arrays.

Extended Summary

The Euclidean distance between 1-D arrays u and v, is defined as

Parameters

u : (N,) array_like

Input array.

v : (N,) array_like

Input array.

w : (N,) array_like, optional

The weights for each value in u and v. Default is None, which gives each value a weight of 1.0

Returns

euclidean : double

The Euclidean distance between vectors u and v.

Examples

from scipy.spatial import distance
distance.euclidean([1, 0, 0], [0, 1, 0])
distance.euclidean([1, 1, 0], [0, 1, 0])

Aliases

  • scipy.spatial._geometric_slerp.euclidean