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NumPy便捷文件存取(MOOC北理大嵩天课程笔记)

NumPy便捷文件存取(MOOC北理大嵩天课程笔记)

作者: 手抓饭和馕 | 来源:发表于2019-02-03 17:55 被阅读1次

    np.save(fname, array) 或 np.savez(fname, array)

    • fname : 文件名,以.npy为扩展名,压缩扩展名为.npz
    • array : 数组变量
    • np.load(fname)
    • fname : 文件名,以.npy为扩展名,压缩扩展名为.npz

    >>> import numpy as np
    >>> a=np.arange(100).reshape(5,2,10)
    >>> a
    array([[[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9],
            [10, 11, 12, 13, 14, 15, 16, 17, 18, 19]],
    
           [[20, 21, 22, 23, 24, 25, 26, 27, 28, 29],
            [30, 31, 32, 33, 34, 35, 36, 37, 38, 39]],
    
           [[40, 41, 42, 43, 44, 45, 46, 47, 48, 49],
            [50, 51, 52, 53, 54, 55, 56, 57, 58, 59]],
    
           [[60, 61, 62, 63, 64, 65, 66, 67, 68, 69],
            [70, 71, 72, 73, 74, 75, 76, 77, 78, 79]],
    
           [[80, 81, 82, 83, 84, 85, 86, 87, 88, 89],
            [90, 91, 92, 93, 94, 95, 96, 97, 98, 99]]])
    >>> np.save('a.npy',a)
    >>> b=np.load('a.npy')
    >>> b
    array([[[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9],
            [10, 11, 12, 13, 14, 15, 16, 17, 18, 19]],
    
           [[20, 21, 22, 23, 24, 25, 26, 27, 28, 29],
            [30, 31, 32, 33, 34, 35, 36, 37, 38, 39]],
    
           [[40, 41, 42, 43, 44, 45, 46, 47, 48, 49],
            [50, 51, 52, 53, 54, 55, 56, 57, 58, 59]],
    
           [[60, 61, 62, 63, 64, 65, 66, 67, 68, 69],
            [70, 71, 72, 73, 74, 75, 76, 77, 78, 79]],
    
           [[80, 81, 82, 83, 84, 85, 86, 87, 88, 89],
            [90, 91, 92, 93, 94, 95, 96, 97, 98, 99]]])
    

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