Numpy MaskedArray.conjugate() function | Python

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 :, out=None, where=True, casting='same_kind', order='K', dtype=None, subok=True)


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 module as ma 
import numpy as geek 
import 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)]

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