python - Efficient method to transpose submatrix in a numpy array -

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i have large numpy array of matrix has structure:

np.array([            [[1, 2],             [3, 4]],            [[5, 6],             [7, 8]],          ])

my expected output 

np.array([            [[1, 3],             [2, 4]],            [[5, 7],             [6, 8]],          ])

i know methods using list comprehension or loops , create numpy array again, methods involving creating numpy list slow data. , vectorize seems working on numbers.

when use normal python lists or other languages, can map transpose function list, seems there no similar function in numpy.

how can efficiently?


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