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Python – AND operation between Tuples

  • Last Updated : 29 Dec, 2019

Sometimes, while working with records, we might have a common problem of performing AND operation contents of one tuple with corresponding index of other tuple. This has application in almost all the domains in which we work with tuple records especially Data Science. Let’s discuss certain ways in which this task can be performed.

Method #1 : Using map() + lambda
Combination of above functionalities can solve the problem for us. In this, we compute the AND using lambda functions and extend the logic to keys using map().




# Python3 code to demonstrate working of
# Cross Tuple AND operation
# using map() + lambda
  
# initialize tuples 
test_tup1 = (10, 4, 5)
test_tup2 = (2, 5, 18)
  
# printing original tuples 
print("The original tuple 1 : " + str(test_tup1))
print("The original tuple 2 : " + str(test_tup2))
  
# Cross Tuple AND operation
# using map() + lambda
res = tuple(map(lambda i, j: i & j, test_tup1, test_tup2))
  
# printing result
print("Resultant tuple after AND operation : " + str(res))
Output :
The original tuple 1 : (10, 4, 5)
The original tuple 2 : (2, 5, 18)
Resultant tuple after AND operation : (2, 4, 0)

 

Method #2 : Using map() + iand()
The combination of above functions can help us achieve this task. In this, we first extend the logic to all using map() and then perform AND of each index using iand().






# Python3 code to demonstrate working of
# Cross Tuple AND operation
# using map() + iand()
import operator
  
# initialize tuples 
test_tup1 = (10, 4, 5)
test_tup2 = (2, 5, 18)
  
# printing original tuples 
print("The original tuple 1 : " + str(test_tup1))
print("The original tuple 2 : " + str(test_tup2))
  
# Cross Tuple AND operation
# using map() + iand()
res = tuple(map(operator.iand, test_tup1, test_tup2))
  
# printing result
print("Resultant tuple after AND operation : " + str(res))
Output :
The original tuple 1 : (10, 4, 5)
The original tuple 2 : (2, 5, 18)
Resultant tuple after AND operation : (2, 4, 0)

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