Python | Numpy numpy.matrix.H()

With the help of Numpy numpy.matrix.H() method, we can make a conjugate Transpose of any complex matrix either having dimension one or more than more.

Syntax : numpy.matrix.H()

Return : Return conjugate transpose of every complex matrix

Example #1 :
In this example we can see that with the help of matrix.H() method, we are able to transform any type of complex matrix.

 # import the important module in python import numpy as np            # make a matrix with numpy gfg = np.matrix([1-2j, 3-4j])            # applying matrix.H() method geeks = gfg.getH()      print(geeks)

Output:

[[ 1.+2.j]
[ 3.+4.j]]

Example #2 :

 # import the important module in python import numpy as np            # make a matrix with numpy gfg = np.matrix([[1-5j, 2 + 5j, 3-3j], [4 + 6j, 5-8j, 6-2j], [7 + 6j, 8-6j, 9 + 1.j]])            # applying matrix.H() method geeks = gfg.getH()      print(geeks)

Output:

[[ 1.+5.j  4.-6.j  7.-6.j]
[ 2.-5.j  5.+8.j  8.+6.j]
[ 3.+3.j  6.+2.j  9.-1.j]]

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