Python | Numpy numpy.matrix.A()

Python | Numpy numpy.matrix.A()

Last Updated : 08 Apr, 2019

With the help of Numpy numpy.matrix.A() method, we can get the same matrix as self. It means through this method we can get the identical matrix.

Syntax : numpy.matrix.A() Return : Return self matrix

Example #1 : In this example we can see that with the help of matrix.A() method, we are able to get the self 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.A() method
geeks = gfg.getA()
  
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.A() method
geeks = gfg.getA()
  
print(geeks)

Output:

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

Python | Numpy numpy.matrix.A()

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