`scipy.spatial.distance._distance:sqeuclidean`

Signature

def sqeuclidean(u, v, w = None)

Compute the squared Euclidean distance between two arrays.

The squared Euclidean distance between u and v is defined as

i \sum w_{i} ∣ u_{i} - v_{i} ∣^{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

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

from scipy.spatial import distance

✓

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

✗

np.float64(1.0)