python不同开根号速度对比

最新推荐文章于 2025-04-12 14:12:13 发布

转载最新推荐文章于 2025-04-12 14:12:13 发布 · 538 阅读

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原文链接：http://www.cnblogs.com/MrLJC/p/10106640.html

文章标签：

#python

本文通过Python代码实现对不同sqrt函数的性能测试，包括使用time模块计时，对比了纯Python平方根运算、math模块sqrt函数、numpy模块sqrt函数及math.pow函数的效率。结果显示，math模块的sqrt函数在大规模数据处理中表现最优。

import time
import math
import numpy as np

def timeit1():
    s = time.time()
    for i in range(750000):
        z=i**.5
    print ("Took %f seconds" % (time.time() - s))

def timeit2(arg=math.sqrt):
    s = time.time()
    for i in range(750000):
        z=arg(i)
    print ("Took %f seconds" % (time.time() - s))

def timeit3(arg=np.sqrt):
    s = time.time()
    for i in range(750000):
        z=arg(i)
    print ("Took %f seconds" % (time.time() - s))

def timeit4():
    s = time.time()
    for i in range(750000):
        z=math.pow(i,.5)
    print ("Took %f seconds" % (time.time() - s))

timeit1()
timeit2()
timeit3()
timeit4()

Took 0.152364 seconds
Took 0.061580 seconds
Took 1.016529 seconds
Took 0.215403 seconds

转载于:https://www.cnblogs.com/MrLJC/p/10106640.html