What is the numpy.conjugate() function in NumPy?
Overview
The conjugate() function in NumPy is used to return, element-wise, the complex conjugate of an input array that is passed to it. This is done by simply changing the sign of the imaginary part of the input value.
Syntax
numpy.conjugate(x1, /, out=None, *, where=True)
Syntax for the "conjugate()" function in NumPy
Parameter values
The conj() function takes the following parameter values:
x: This represents the input array of complex values. This is a required parameter value.out: This represents the location where the result is stored. This is an optional parameter value.where: This is the condition over which the input is broadcast. At a given location where this condition isTrue, the resulting array is set to theufuncresult. Otherwise, the resulting array retains its original value. This is an optional parameter value.kwargs: This represents the other keyword arguments. This is an optional parameter value.
Return value
The conjugate() function returns a complex conjugate of the input value that has the same data type as the input value.
Example
import numpy as np# creating an input array of complex valuesx = np.array([1+2j, 2-3j, 1+5j])# implementing the conjugate() functionmyarray = np.conjugate(x)print(x)print(myarray)
Explanation
- Line 1: We import the
numpymodule. - Line 4: We create an array
xwith complex values, using thearray()function. - Line 7: We implement the
conjugate()function on the input array. We assign the result to a variable calledmyarray. - Line 9: We print the variable
x. - Line 10: We print the variable
myarray.
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