`scipy.spatial.distance._distance:euclidean`

Signature

def euclidean(u, v, w = None)

Computes the Euclidean distance between two arrays.

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

∥ u - v ∥_{2} (\sum (w_{i} ∣ (u_{i} - v_{i}) ∣^{2}))^{1/2}

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

euclidean : float or ndarray: The Euclidean distance between vectors u and v.

from scipy.spatial import distance

✓

distance.euclidean([1, 0, 0], [0, 1, 0])
distance.euclidean([1, 1, 0], [0, 1, 0])

✗

np.float64(1.0)