>>> a = np.array([[1, 2], [3, 4]])
>>> a
array([[1, 2],
[3, 4]])
>>> a.transpose()
array([[1, 3],
[2, 4]])
>>> a.transpose((1, 0))
array([[1, 3],
[2, 4]])
>>> a.transpose(1, 0)
array([[1, 3],
[2, 4]])
import numpy as np
A = [1, 2, 3, 4]
np.array(A).T # .T is used to transpose matrix
import numpy as np
arr1 = np.array([[1, 2, 3], [4, 5, 6]])
print(f'Original Array:
{arr1}')
arr1_transpose = arr1.transpose()
print(f'Transposed Array:
{arr1_transpose}')
np.transpose(x)
array([[0, 2],
[1, 3]])
arr = list(list(x) for x in zip(*arr))
M = np.matrix([[1,2],[3,4]])
M.transpose()