XOR
The logical_xor performs the xor operation between two variables or lists. In this operation, if two values are same it returns 0 otherwise 1.
Syntax:
numpy.logical_xor(var1,var2)
Where, var1 and var2 are a single variable or a list/array.
Return type: Boolean value (True or False)
Example:
Python3
# importing numpy module import numpy as np # logical operations between boolean values print('Operation between true and true ( 1 and 1) = ', np.logical_xor(True, True)) print('Operation between true and false ( 1 and 0) = ', np.logical_xor(True, False)) print('Operation between false and true ( 0 and 1) = ', np.logical_xor(False, True)) print('Operation between false and false (0 and 0)= ', np.logical_xor(False, False)) # list 1 represents an array with boolean values list1 = [True, False, True, False] # list 2 represents an array with boolean values list2 = [True, True, False, True] # logical operations between boolean values print('Operation between two lists = ', np.logical_xor(list1, list2)) # list 1 represents an array # with integer values list1 = [1, 2, 3, 4, 5, 0] # list 2 represents an array # with integer values list2 = [0, 1, 2, 3, 4, 0] # logical operations between integer values print('Operation between two lists = ', np.logical_xor(list1, list2)) |
Output:
NumPy Array – Logical Operations
Logical operations are used to find the logical relation between two arrays or lists or variables. We can perform logical operations using NumPy between two data. Below are the various logical operations we can perform on Numpy arrays: