distance matrix in python
>>> from scipy.spatial import distance_matrix
>>> distance_matrix([[0,0],[0,1]], [[1,0],[1,1]])
array([[ 1. , 1.41421356],
[ 1.41421356, 1. ]])distance matrix in python
>>> from scipy.spatial import distance_matrix
>>> distance_matrix([[0,0],[0,1]], [[1,0],[1,1]])
array([[ 1. , 1.41421356],
[ 1.41421356, 1. ]])numpy euclidean distance
dist = numpy.linalg.norm(a-b)distance between numpy arrays
dist = numpy.linalg.norm(a-b, ord=2) #ord=2 is default and means Euclidean distance, but I'm showing here that you can specify itCopyright © 2021 Codeinu
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