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) |
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)]
