Calculate Euclidean Distance within points in numpy array

Question

I have 3D array as

 A = [[x1 y1 z1]
      [x2 y2 z2]
      [x3 y3 z3]]

I have to find euclidean distance between each points so that I\'ll

Answer 1

You can do something like this:

>>> import numpy as np
>>> from itertools import combinations
>>> A = np.array([[1, 2, 3], [4, 5, 6], [10, 20, 30]])
>>> [np.linalg.norm(a-b) for a, b in combinations(A, 2)]
[5.196152422706632, 33.674916480965472, 28.930952282978865]