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

You can easily use the formula

distance = np.sqrt(np.sum(np.square(a-b)))

which does actually nothing more than using Pythagoras' theorem to calculate the distance, by adding the squares of Δx, Δy and Δz and rooting the result.