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 of a matrix using numpy
M = np.matrix([[1,2],[3,4]])
M.transpose()