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.

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# 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)

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Output:

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

Example #2 :

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# 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)

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Output:

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


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