PYTHON

transpose matrix numpy

>>> 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]])

transpose matrices numpy

import numpy as np

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

transpose matrix in python without numpy

def transpose(matrix):
    rows = len(matrix)
    columns = len(matrix[0])

    matrix_T = []
    for j in range(columns):
        row = []
        for i in range(rows):
           row.append(matrix[i][j])
        matrix_T.append(row)

    return matrix_T
  

numpy transpose

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

numpy transpose

ndarray.T

x = np.array([[1.,2.],[3.,4.]])
>>> x
array([[ 1.,  2.],
       [ 3.,  4.]])
>>> x.T
array([[ 1.,  3.],
       [ 2.,  4.]])
>>> x = np.array([1.,2.,3.,4.])
>>> x
array([ 1.,  2.,  3.,  4.])
>>> x.T
array([ 1.,  2.,  3.,  4.])

transpose matrice numpy

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

transpose of a matrix in python numpy

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

Python NumPy transpose Function Syntax

numpy.transpose(a, axes=None)

transpose matrice numpy

>>> import numpy as np
>>> M = np.array([[1,2,3],[4,5,6],[7,8,9]])
>>> M
array([[1, 2, 3],
       [4, 5, 6],
       [7, 8, 9]])
>>> M.T
array([[1, 4, 7],
       [2, 5, 8],
       [3, 6, 9]])

transpose matrix python

arr = list(list(x) for x in zip(*arr))

transpose of a matrix using numpy

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

M.transpose()