scipy.spatial.distance_matrix¶
- 
scipy.spatial.distance_matrix(x, y, p=2, threshold=1000000)[source]¶ Compute the distance matrix.
Returns the matrix of all pair-wise distances.
- Parameters
 - x(M, K) array_like
 Matrix of M vectors in K dimensions.
- y(N, K) array_like
 Matrix of N vectors in K dimensions.
- pfloat, 1 <= p <= infinity
 Which Minkowski p-norm to use.
- thresholdpositive int
 If
M * N * K> threshold, algorithm uses a Python loop instead of large temporary arrays.
- Returns
 - result(M, N) ndarray
 Matrix containing the distance from every vector in x to every vector in y.
Examples
>>> from scipy.spatial import distance_matrix >>> distance_matrix([[0,0],[0,1]], [[1,0],[1,1]]) array([[ 1. , 1.41421356], [ 1.41421356, 1. ]])
