How can the Euclidean distance be calculated with NumPy?

Question

I have two points in 3D:

(xa, ya, za)
(xb, yb, zb)

And I want to calculate the distance:

dist = sqrt((xa-xb)^2 + (ya-yb)^2 + (         


        

Answer 1

Here's some concise code for Euclidean distance in Python given two points represented as lists in Python.

def distance(v1,v2): 
    return sum([(x-y)**2 for (x,y) in zip(v1,v2)])**(0.5)