强大的数据结构和python扩展库2

import time
import math
import numpy as np

x = np.random.randint(100, size=(1000, 1000))
m_sum = 0
t_m1 = time.process_time()
for row in x:
    m_sum += math.fsum(row)
t_m2 = time.process_time()
print(m_sum)
t_n1 = time.process_time()
n_sum = x.sum()
t_n2 = time.process_time()
print(n_sum)
print('Running time of math:', t_m2 - t_m1)
print('Running time of numpy:',t_n2 - t_n1)

Running time of math: 0.059509000000000034
Running time of numpy: 0.0006780000000000674