Python | Numpy numpy.matrix.T()

Python | Numpy numpy.matrix.T()

Last Updated : 08 Apr, 2019

With the help of Numpy numpy.matrix.T() method, we can make a Transpose of any matrix either having dimension one or more than more.

Syntax : numpy.matrix.T() Return : Return transpose of every matrix

Example #1 : In this example we can see that with the help of matrix.T() method, we are able to transform any type of matrix.

Python3 1==

# import the important module in python
import numpy as np
        
# make a matrix with numpy
gfg = np.matrix('[1, 2, 3, 4]')
        
# applying matrix.T() method
geeks = gfg.getT()
  
print(geeks)

Output:

[[1]
 [2]
 [3]
 [4]]

Example #2 :

Python3 1==

# import the important module in python
import numpy as np
        
# make a matrix with numpy
gfg = np.matrix('[1, 2, 3; 4, 5, 6; 7, 8, 9]')
        
# applying matrix.T() method
geeks = gfg.getT()
  
print(geeks)

Output:

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

Python | Numpy numpy.matrix.T()

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