  # Python | Numpy numpy.matrix.H ()

NumPy | Python Methods and Functions

Using the ` Numpy numpy.matrix.H () ` method, we can make the conjugate Transpose of any complex matrix that has dimension one or more than one.

Syntax: `numpy.matrix.H()`

Return: Return conjugate transpose of every complex matrix

Example # 1:
In this example we see that using the ` matrix.H () ` we can transform any type of complex matrix.

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

Exit:

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

Example # 2:

 ` # import an important module into 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 ]]) ``    # using the matrix.H () method geeks = gfg.getH ()   print (geeks) `

Exit:

` [[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]] `