Comapring Numpy vs Python to find maximum

max_time.py

import random
import numpy as np
import time

class ABC:
    def __init__(self,x):
        self.prop = x
    def __lt__(self, other):
        return self.prop < other.prop    
    def __le__(self, other):
        return self.prop <= other.prop
    def __eq__(self, other):
        return self.prop == other.prop
    def __ne__(self, other):
        return self.prop != other.prop
    def __gt__(self, other):
        return self.prop > other.prop
    def __ge__(self, other):
        return self.prop > other.prop
        
        
N = 1000000

obj_list = [ABC(random.randint(1,N)) for i in range(N)]


t = time.time()
m = max(obj_list, key = lambda x : x.prop)
print m.prop
print "Python took",time.time() - t,"secs"


a = np.array(obj_list)
t = time.time()
print a.max().prop
print "Numpy took",time.time() - t,"secs"