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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.




# 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 :




# 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]]
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