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  • NumPy笔记:numpy与python原生数组计算效率比较

    import numpy as np
    import random
    import time
    a = []
    for i in range(10000000):
        a.append(random.random())
    # list
    t1 = time.time()
    sum1 = sum(a)
    t2 = time.time()
    print("time_list:", (t2-t1))
    # numpy
    b = np.array(a)
    t3 = time.time()
    sum2 = np.sum(b)
    t4 = time.time()
    print("time_numpy:", t4-t3)
     
    time_list: 0.07811212539672852
    time_numpy: 0.015620231628417969
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  • 原文地址:https://www.cnblogs.com/jumpkin1122/p/11503566.html
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