grains.geometry.distance_matrix

grains.geometry.distance_matrix(points)

A symmetric square matrix, containing the pairwise squared Euclidean distances among points.

Parameters

points (ndarray) – 2D numpy array with 2 columns, each row corresponding to a point, and the two columns giving the Cartesian coordinates of the points.

Returns

dm (ndarray) – Distance matrix.

See also

squared_distance()

Examples

>>> points = np.array([[1, 1], [3, 0], [-1, -1]])
>>> distance_matrix(points)
array([[ 0.,  5.,  8.],
       [ 5.,  0., 17.],
       [ 8., 17.,  0.]])