Hamming distance using SciPy

Overview:

Hamming distance between two one dimensional arrays of same length is given by the number of places the elements differ.
The Scipy function hamming() of the scipy.spatial.distance module returns this difference as a percentage to the length of an array.

Example:

# Example Python program that computes the Hamming
# distance between two one dimensional arrays using
# the scipy library
import scipy.spatial.distance as dist
import numpy as np

# Arrays
primes = [2,3,5,7]
odds = [1,3,5,7]

# Compute the Hamming distance
hammingDist = dist.hamming(primes, odds)
print("Hamming distance:%.4f"%hammingDist)

Output:

Hamming distance:0.2500