基于python不同开根号的速度对比分析

我就废话不多说了，大家还是直接看代码吧~

import timeimport mathimport numpy as npdef 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 secondsTook 0.061580 secondsTook 1.016529 secondsTook 0.215403 seconds

补充：Python笔记-开根号的几种方式

使用Python中的自带库math、自带函数pow和自带库cmath来对数字进行开根号运算

使用：math.sqrt(数字)

import mathn = int(input(’数字:’))x = math.sqrt(n)print(x)print(type(x)) #开根号后的类型为float方法二

使用：pow(数字，次方)

n = int(input(’数字:’))x = pow(n,0.5)print(x)print(type(x)) #开根号后的类型为float方法三

使用：cmath.sqrt(数字)

该方法多用于复数、负数的开方运算

import cmathn = int(input(’数字: ’))x = cmath.sqrt(n)print(x)print(type(x)) #类型为complex

以上为个人经验，希望能给大家一个参考，也希望大家多多支持好吧啦网。如有错误或未考虑完全的地方，望不吝赐教。