matrix.H

Returns the (complex) conjugate transpose of self.

Equivalent to np.transpose(self) if self is real-valued.

Examples

>>> x = np.matrix(np.arange(12).reshape((3,4)))
>>> z = x - 1j*x; z
matrix([[  0. +0.j,   1. -1.j,   2. -2.j,   3. -3.j],
        [  4. -4.j,   5. -5.j,   6. -6.j,   7. -7.j],
        [  8. -8.j,   9. -9.j,  10.-10.j,  11.-11.j]])
>>> z.getH()
matrix([[  0. +0.j,   4. +4.j,   8. +8.j],
        [  1. +1.j,   5. +5.j,   9. +9.j],
        [  2. +2.j,   6. +6.j,  10.+10.j],
        [  3. +3.j,   7. +7.j,  11.+11.j]])