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:

Parameters:	x : (M, K) array_like TODO: description needed y : (N, K) array_like TODO: description needed 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.
Returns:	result : (M, N) ndarray Distance matrix.

x : (M, K) array_like

TODO: description needed

y : (N, K) array_like

TODO: description needed

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.

Returns:

result : (M, N) ndarray

Distance matrix.

Examples

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