Python | Numpy matrix.conjugate()

With the help of Numpy matrix.conjugate() method, we are able to find the conjugate 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.

# 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 :

# 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]]