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

Consider using scipy.spatial.distance.pdist.

You can do like this.

>>> A = np.array([[1, 2, 3], [4, 5, 6], [10, 20, 30]])
>>> scipy.spatial.distance.pdist(A)
array([  5.19615242,  33.67491648,  28.93095228])

But be careful the order of the output distance is (row0,row1),(row0,row2) and (row1,row2).