bundles / scipy 2.0.0.dev0+git20260907.41eeb59 / scipy / spatial / distance / _distance / minkowski
function
scipy.spatial.distance._distance:minkowski
source: build-install/usr/lib/python3.14/site-packages/scipy/spatial/distance/_distance.py:363
Signature
def minkowski(u, v, p = 2, w = None)Summary
Compute the Minkowski distance between two arrays.
Extended Summary
The Minkowski distance between arrays u and v, is defined as
Parameters
u: (..., N) array_likeInput array.
v: (..., N) array_likeInput array.
p: scalarThe order of the norm of the difference . Note that for , the triangle inequality only holds with an additional multiplicative factor, i.e. it is only a quasi-metric.
w: (N,) array_like, optionalThe weights for each value in
uandv. Default is None, which gives each value a weight of 1.0
Returns
minkowski: float or ndarrayThe Minkowski distance between vectors
uandv.
Examples
from scipy.spatial import distance
✓distance.minkowski([1, 0, 0], [0, 1, 0], 1) distance.minkowski([1, 0, 0], [0, 1, 0], 2) distance.minkowski([1, 0, 0], [0, 1, 0], 3) distance.minkowski([1, 1, 0], [0, 1, 0], 1) distance.minkowski([1, 1, 0], [0, 1, 0], 2) distance.minkowski([1, 1, 0], [0, 1, 0], 3)✗
np.float64(1.0)
Aliases
scipy.spatial._kdtree.minkowski