Problem using numpy to obtain the complex conjugate of a matrix-CodePudding

I have the following code:

import numpy as np
A=np.array([[2, 2-9j, -5j], [4-1j, 0, 9 6j], [4j, 6 7j, 6]])
print(A)
print(A.getH())

It doesn't work. I have checked different webs and followed this webpage (geeksforgeeks), and this other(official numpy documentation) but I still get an error and I don't know where. Can someone please help me?

The error is 'numpy.ndarray' object has no attribute 'getH'

CodePudding user response：

That's correct, a numpy array doesn't have a method getH. Your second link actually is the official documentation, and it shows that the method is not called getH. Read the documentation closely!

CodePudding user response：

You have to use numpy.conj() function.

import numpy as np
A=np.array([[2, 2-9j, -5j], [4-1j, 0, 9 6j], [4j, 6 7j, 6]])
print(A)
print(A.conj())

Output

[[ 2. 0.j  2.-9.j -0.-5.j]
 [ 4.-1.j  0. 0.j  9. 6.j]
 [ 0. 4.j  6. 7.j  6. 0.j]]
[[ 2.-0.j  2. 9.j -0. 5.j]
 [ 4. 1.j  0.-0.j  9.-6.j]
 [ 0.-4.j  6.-7.j  6.-0.j]]

CodePudding user response：

You're looking at pages about the numpy.matrix class, but the numpy.array function creates instances of numpy.ndarray, not numpy.matrix.

You could use numpy.matrix, but that's a bad idea. numpy.matrix has a lot of weird compatibility problems, and its use is discouraged in new code. Instead, use numpy.conj:

print(numpy.conj(A))