python中numpy的reshape方法

numpy的reshape()方法用于将数据从新组织,由于保存记录方便查看

    import numpy as np

    a=np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]])
    a
    #运行结果
    array([[ 1,  2,  3],
       [ 4,  5,  6],
       [ 7,  8,  9],
       [10, 11, 12]])

    a.reshape(2,6)
    #运行结果
    >>>array([[ 1,  2,  3,  4,  5,  6],
              [ 7,  8,  9, 10, 11, 12]])


    a.reshape(-1,1)
    #运行结果,-1代表未指定行数
    >>>array([[ 1],
               [ 2],
               [ 3],
               [ 4],
               [ 5],
               [ 6],
               [ 7],
               [ 8],
               [ 9],
               [10],
               [11],
               [12]])

    a.reshape(1,-1)
    #运行结果,-1代表未指定列数
    array([[ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12]])