import numpy as np

matrix = np.array(
    [
        [1, 2, 3],
        [4, 5, 6],
    ]
)
columns = matrix.T

cube = np.arange(24).reshape(2, 3, 4)
swapped = np.transpose(cube, axes=(1, 0, 2))

vector = np.array([1, 2, 3])
column_vector = vector[:, np.newaxis]

print("matrix shape:", matrix.shape)
print("matrix.T shape:", columns.shape)
print(columns)
print("cube shape:", cube.shape)
print("swapped shape:", swapped.shape)
print("axis value check:", cube[1, 2, 3] == swapped[2, 1, 3])
print("transpose shares memory:", np.shares_memory(matrix, columns))
print("vector.T shape:", vector.T.shape)
print("column vector shape:", column_vector.shape)