`scipy.spatial._kdtree:distance_matrix`

Signature

def distance_matrix(x, y, p = 2.0, threshold = 1000000)

Compute the distance matrix.

Returns the matrix of all pair-wise distances.

x : (M, K) array_like: Matrix of M vectors in K dimensions.
y : (N, K) array_like: Matrix of N vectors in K dimensions.
p : float, 1 <= p <= infinity: Which Minkowski p-norm to use.
threshold : positive int: If M * N * K > threshold, algorithm uses a Python loop instead of large temporary arrays.

result : (M, N) ndarray: Matrix containing the distance from every vector in x to every vector in y.

Array API Standard Support

distance_matrix is not in-scope for support of Python Array API Standard compatible backends other than NumPy.

See dev-arrayapi for more information.

from scipy.spatial import distance_matrix

✓

distance_matrix([[0,0],[0,1]], [[1,0],[1,1]])

✗

array([[1.   , 1.414],
       [1.414, 1.   ]])