scipy.spatial.

distance_matrix#

scipy.spatial.distance_matrix(x, y, p=2.0, threshold=1000000)[source]#

Compute the distance matrix.

Returns the matrix of all pair-wise distances.

Deprecated since version 1.18.0: This function is deprecated in favor of scipy.spatial.distance.cdist and will be removed in SciPy 1.20.0.

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.

Notes

Array API Standard Support

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

See Support for the array API standard for more information.

Examples

>>> from scipy.spatial import distance_matrix
>>> distance_matrix([[0,0],[0,1]], [[1,0],[1,1]])
array([[ 1.        ,  1.41421356],
       [ 1.41421356,  1.        ]])