  # Python | Numpy numpy.transpose ()

Arrays | NumPy | Python Methods and Functions

With Numpy numpy.transpose () we can perform a simple transpose function within one line using `numpy.transpose() ` Numpy ... It can transpose two-dimensional arrays, on the other hand, it does not affect one-dimensional arrays. This method transposes a two-dimensional NumPy array.

Parameters:
axes: [None, tuple of ints, or n ints] If anyone wants to pass the parameter then you can but it`s not all required. But if you want than remember only pass (0, 1) or (1, 0) . Like we have array of shape (2, 3) to change it (3, 2) you should pass (1, 0) where 1 as 3 and 0 as 2.

Returns: ndarray

Example # 1:
In this example, we see that it is really easy to wrap an array in just one line.

 ` # import a python module named numpy ` ` import ` ` numpy as np `   ` # create a 3x3 array ` ` gfg ` ` = ` ` np.array ([[` ` 1 ` `, ` ` 2 ` `, 3 ], `` [ 4 , 5 , 6 ],   [ 7 , 8 , 9 ]])   # before transposition print (gfg, end = `` )   # after transposition print (gfg.transpose ()) `

Exit:

` [[1 2 3] [4 5 6] [7 8 9]] [[1 4 7] [2 5 8] [3 6 9]] `

Example # 2:
In this example, we demonstrate the use of tuples in ` numpy.transpose () `.

 ` # import a python module named numpy ` ` import ` ` numpy as np `   ` # create a 3x3 array ` ` gfg ` ` = ` ` np.array ([[ ` ` 1 ` `, ` ` 2 ` `], ` ` [` ` 4 ` `, ` ` 5 ` `], ` ` [` 7 `, ` ` 8 ` `]]) `   ` # before transposition ` ` print ` ` (gfg, end ` ` = ` ` `` ` `) `   ` # after transpose ` ` print ` ` (gfg.transpose (` ` 1 ` `, ` ` 0 ` `)) `

Exit:

` [[1 2] [4 5] [7 8]] [[1 4 7] [2 5 8]] `