numpy数组及处理：效率对比

def Sum(n):          


    a=list(range(n))

    b=list(range(0,50000*n,5))

    c=[]

    for i in range(len(a)):

        c.append(a[i]**2+b[i]**3)

    return c

print(Sum(20))

 

import numpy as py

 

def pySum(n):

    a=py.array(range(n))

    b=py.array(range(0,500000*n,n))

    c=[]

    for i in range(len(a)):

        c.append(a[i]**2+b[i]**3)

    return c

print(pySum(20))

 

 

import datetime

def new4():

    now1=datetime.datetime.now()

    Sum(30000)

    now2=datetime.datetime.now()

    pySum(30000)

    now3=datetime.datetime.now()

    print("sum执行时间(30W数据)：" , now2-now1,"\npysum数组执行时间(30W数据)：" , now3-now2)

new4()

 

 

 

 

执行结果：