numpy.matrix() in Python

Python | Numpy matrix.conjugate()

Last Updated : 11 Jul, 2025

With the help of

Numpy matrix.conjugate()

method, we are able to find the

of a given matrix having one or more than one dimension.

Syntax : matrix.conjugate()Return : Return conjugate of given matrix

Example #1 :

In this example we can see that

matrix.conjugate()

method is used to conjugate the matrix. Remember string type of matrix doesn't work here.

Python3 1==

# import the important module in python
import numpy as np
         
# make an array with numpy
gfg = np.matrix('[1 + 2j, 2 + 3j]')
         
# applying matrix.conjugate() method
geeks = gfg.conjugate()
   
print(geeks)

Output

[[ 1.-2.j  2.-3.j]]

Example #2 :

Python3 1==

# import the important module in python
import numpy as np
         
# make an array with numpy
gfg = np.matrix('[1 + 2j, 2 + 3j, 3-2j; 1-4j, 2-3j, 7 + 8j]')
         
# applying matrix.conjugate() method
geeks = gfg.conjugate()
   
print(geeks)

Output

[[ 1.-2.j  2.-3.j  3.+2.j]
 [ 1.+4.j  2.+3.j  7.-8.j]]

numpy.matrix() in Python

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