Python | Records Intersection

Sometimes, while working with tuples, we can have a problem in which we need similar features of two records. This type of application can come in Data Science domain. Let’s discuss certain ways in which this problem can be solved.

Method #1 : Using set() + "&" operator
This task can be performed using symmetric difference functionality offered by XOR operator over sets. The conversion to set is done by set().

# Python3 code to demonstrate working of 
# Records Intersection 
# Using set() + "&" operator 
  
# initialize tuples 
test_tup1 = (3, 4, 5, 6) 
test_tup2 = (5, 7, 4, 10) 
  
# printing original tuples 
print("The original tuple 1 : " + str(test_tup1)) 
print("The original tuple 2 : " + str(test_tup2)) 
  
# Records Intersection 
# Using set() + "&" operator 
res = tuple(set(test_tup1) & set(test_tup2)) 
  
# printing result 
print("The similar elements from tuples are : " + str(res)) 

Output :

The original tuple 1 : (3, 4, 5, 6)
The original tuple 2 : (5, 7, 4, 10)
The similar elements from tuples are : (4, 5)

Method #2 : Using intersection() + set()
This is method similar to above method, the difference is that instead of & operator, we use inbuilt function to perform the task of filtering dissimilar elements.

# Python3 code to demonstrate working of 
# Records Intersection 
# Using intersection() + set() 
  
# initialize tuples 
test_tup1 = (3, 4, 5, 6) 
test_tup2 = (5, 7, 4, 10) 
  
# printing original tuples 
print("The original tuple 1 : " + str(test_tup1)) 
print("The original tuple 2 : " + str(test_tup2)) 
  
# Records Intersection 
# Using intersection() + set() 
res = tuple(set(test_tup1).intersection(set(test_tup2))) 
  
# printing result 
print("The similar elements from tuples are : " + str(res)) 

Output :

The original tuple 1 : (3, 4, 5, 6)
The original tuple 2 : (5, 7, 4, 10)
The similar elements from tuples are : (4, 5)

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