The numpy.conj() function helps the user to conjugate any complex number.
The conjugate of a complex number is obtained by changing the sign of its imaginary part. If the complex number is 2+5j then its conjugate is 2-5j.
Syntax:numpy.conj(x[, out] = ufunc ‘conjugate’)
Parameters :
x [array_like]: Input value.
out [ndarray, optional] : Output array with same dimensions as Input array, placed with result.Return :
x : ndarray. The complex conjugate of x, with same dtype as y.
Code #1 :
# Python3 code demonstrate conj() function #importing numpy import numpy as np in_complx1 = 2+4jout_complx1 = np.conj(in_complx1) print ("Output conjugated complex number of 2+4j : ", out_complx1) in_complx2 =5-8jout_complx2 = np.conj(in_complx2) print ("Output conjugated complex number of 5-8j: ", out_complx2) |
Output :
Output conjugated complex number of 2+4j : (2-4j) Output conjugated complex number of 5-8j: (5+8j)
Code #2 :
# Python3 code demonstrate conj() function # importing numpy import numpy as np in_array = np.eye(2) + 3j * np.eye(2) print ("Input array : ", in_array) out_array = np.conjugate(in_array) print ("Output conjugated array : ", out_array) |
Output :
Input array : [[ 1.+3.j 0.+0.j] [ 0.+0.j 1.+3.j]] Output conjugated array : [[ 1.-3.j 0.-0.j] [ 0.-0.j 1.-3.j]]
