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# scipy.spatial.distance_matrix

`scipy.spatial.``distance_matrix`(x, y, p=2, threshold=1000000)

  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. 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 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.        ]])