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_likeInput array.
v: (N,) array_likeInput array.
w: (N,) array_like, optionalThe weights for each value in
uandv. Default is None, which gives each value a weight of 1.0
Returns
euclidean: doubleThe Euclidean distance between vectors
uandv.
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