辨析 np.transpose np.reshape np.array的组合

原组合
np.transpose(np.reshape(np.array( [np.arange(7)] * 7 * 2),(2, 7, 7)),(0,1,2))

np.arange(7)
array([0, 1, 2, 3, 4, 5, 6])

np.array([np.arange(7)] * 7 )
array([[0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6]])

np.array([np.arange(7)] * 7 * 2)
array([[0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6],
       [0, 1, 2, 3, 4, 5, 6]])

np.reshape(np.array(
            [np.arange(7)] * 7 * 2),
            (2, 7, 7)) 
array([[[0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6]],

       [[0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6]]])

np.transpose(np.reshape(np.array(
            [np.arange(7)] * 7 * 2),
            (2, 7, 7)),(1,2,0))#按行转置
array([[[0, 0],
        [1, 1],
        [2, 2],
        [3, 3],
        [4, 4],
        [5, 5],
        [6, 6]],

       [[0, 0],
        [1, 1],
        [2, 2],
        [3, 3],
        [4, 4],
        [5, 5],
        [6, 6]],

       [[0, 0],
        [1, 1],
        [2, 2],
        [3, 3],
        [4, 4],
        [5, 5],
        [6, 6]],

       [[0, 0],
        [1, 1],
        [2, 2],
        [3, 3],
        [4, 4],
        [5, 5],
        [6, 6]],

       [[0, 0],
        [1, 1],
        [2, 2],
        [3, 3],
        [4, 4],
        [5, 5],
        [6, 6]],

       [[0, 0],
        [1, 1],
        [2, 2],
        [3, 3],
        [4, 4],
        [5, 5],
        [6, 6]],

       [[0, 0],
        [1, 1],
        [2, 2],
        [3, 3],
        [4, 4],
        [5, 5],
        [6, 6]]])

np.transpose(np.reshape(np.array(
            [np.arange(7)] * 7 * 2),
            (2, 7, 7)),(2,1,0)) #按列转置
array([[[0, 0],
        [0, 0],
        [0, 0],
        [0, 0],
        [0, 0],
        [0, 0],
        [0, 0]],

       [[1, 1],
        [1, 1],
        [1, 1],
        [1, 1],
        [1, 1],
        [1, 1],
        [1, 1]],

       [[2, 2],
        [2, 2],
        [2, 2],
        [2, 2],
        [2, 2],
        [2, 2],
        [2, 2]],

       [[3, 3],
        [3, 3],
        [3, 3],
        [3, 3],
        [3, 3],
        [3, 3],
        [3, 3]],

       [[4, 4],
        [4, 4],
        [4, 4],
        [4, 4],
        [4, 4],
        [4, 4],
        [4, 4]],

       [[5, 5],
        [5, 5],
        [5, 5],
        [5, 5],
        [5, 5],
        [5, 5],
        [5, 5]],

       [[6, 6],
        [6, 6],
        [6, 6],
        [6, 6],
        [6, 6],
        [6, 6],
        [6, 6]]])

np.transpose(np.reshape(np.array(
            [np.arange(7)] * 7 * 2),
            (2, 7, 7)),(0,1,2))#恢复
array([[[0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6]],

       [[0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6],
        [0, 1, 2, 3, 4, 5, 6]]])