Numpy MaskedArray.conjugate() function | Python
Last Updated :
14 Aug, 2024
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numpy.MaskedArray.conjugate()
function is used to return the complex conjugate, element-wise.The conjugate of a complex number is obtained by changing the sign of its imaginary part.
Syntax : numpy.ma.conjugate(arr, out=None, where=True, casting='same_kind', order='K', dtype=None, subok=True)Parameters:arr :[ array_like] Input masked array which we want to conjugate. out : [ndarray, optional] A location into which the result is stored. -> If provided, it must have a shape that the inputs broadcast to. -> If not provided or None, a freshly-allocated array is returned. where : [array_like, optional] Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. casting :[ ‘no’, ‘equiv’, ‘safe’, ‘same_kind’, or ‘unsafe’] Provides a policy for what kind of casting is permitted. order : The elements of a are read using this index order. dtype :[dtype, optional] Type of the returned array, as well as of the accumulator in which the elements are multiplied. subok : Defaults to true. If set to false, the output will always be a strict array, not a subtype. Return : [ ndarray] The complex conjugate of arr. Code #1 :
# Python program explaining
# numpy.MaskedArray.conjugate() method
# importing numpy as geek
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma
# creating input array
in_arr = geek.array([[1 + 2j, 2 + 3j], [ 3-2j, -1 + 2j], [ 5-4j, -3-3j]])
print ("Input array : ", in_arr)
# Now we are creating a masked array.
# by making two entry as invalid.
mask_arr = ma.masked_array(in_arr, mask =[[1, 0], [ 1, 0], [ 0, 0]])
print ("Masked array : ", mask_arr)
# applying MaskedArray.conjugate
# methods to masked array
out_arr = ma.conjugate(mask_arr)
print ("conjugate of masked array : ", out_arr)
Output
Input array : [[ 1.+2.j 2.+3.j] [ 3.-2.j -1.+2.j] [ 5.-4.j -3.-3.j]] Masked array : [[-- (2+3j)] [-- (-1+2j)] [(5-4j) (-3-3j)]] conjugate of masked array : [[-- (2-3j)] [-- (-1-2j)] [(5+4j) (-3+3j)]
