numpy transpose

1>>> a = np.array([[1, 2], [3, 4]])
2>>> a
3array([[1, 2],
4       [3, 4]])
5>>> a.transpose()
6array([[1, 3],
7       [2, 4]])
8>>> a.transpose((1, 0))
9array([[1, 3],
10       [2, 4]])
11>>> a.transpose(1, 0)
12array([[1, 3],
13       [2, 4]])
14

1>>> np.transpose(x)
2array([[0, 2],
3       [1, 3]])
4

1import numpy as np
2
3A = [1, 2, 3, 4]
4np.array(A).T # .T is used to transpose matrix

1def transpose(matrix):
2    rows = len(matrix)
3    columns = len(matrix[0])
4
5    matrix_T = []
6    for j in range(columns):
7        row = []
8        for i in range(rows):
9           row.append(matrix[i][j])
10        matrix_T.append(row)
11
12    return matrix_T
13  

1>>> np.transpose(M)
2array([[1, 4, 7],
3       [2, 5, 8],
4       [3, 6, 9]])
5

1M = np.matrix([[1,2],[3,4]])
2
3M.transpose()