Python – Remove Similar Rows from Tuple Matrix

Sometimes, while working with Tuple Matrix, we can have a problem in which we get lots of data, which are similar, i.e elements are same in rows, just the ordering of tuples is different, it’s sometimes, desired to get them removed. This kind of problem can have application in domains such as web development and day-day programming. Let’s discuss certain ways in which this task can be performed.

Input : test_list = [[(4, 5), (3, 2)], [(3, 2), (4, 5)], [(3, 2), (4, 5)]]
Output : {((4, 5), (3, 2))}

Input : test_list = [[(4, 6), (3, 2)], [(3, 2), (4, 5)], [(3, 2), (4, 5)]]
Output : {((3, 2), (4, 6)), ((4, 5), (3, 2))}

Method #1 : Using set() + tuple() + sorted() + list comprehension
The combination of above functions can be used to solve this problem. In this, we first, perform the sorting, and then convert the rows to set, which automatically removes the duplicates.

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# Python3 code to demonstrate working of 
# Remove Similar Rows from Tuple Matrix
# Using set() + tuple() + sorted() + list comprehension
  
# initializing lists
test_list = [[(4, 5), (3, 2)], [(2, 2), (4, 6)], [(3, 2), (4, 5)]]
  
# printing original list
print("The original list is : " + str(test_list))
  
# Remove Similar Rows from Tuple Matrix
# Using set() + tuple() + sorted() + list comprehension
res = set([tuple(set(sub)) for sub in test_list])
  
# printing result 
print("Tuple matrix after removal : " + str(res))

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Output :



The original list is : [[(4, 5), (3, 2)], [(2, 2), (4, 6)], [(3, 2), (4, 5)]]
Tuple matrix after removal : {((4, 6), (2, 2)), ((4, 5), (3, 2))}

 

Method #2 : Using set() + frozenset() + generator expression
The combination of above functions can be used to solve this problem. In this, we perform the task of sorting and tuple conversion using frozenset().

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# Python3 code to demonstrate working of 
# Remove Similar Rows from Tuple Matrix
# Using set() + frozenset() + generator expression
  
# initializing lists
test_list = [[(4, 5), (3, 2)], [(2, 2), (4, 6)], [(3, 2), (4, 5)]]
  
# printing original list
print("The original list is : " + str(test_list))
  
# Remove Similar Rows from Tuple Matrix
# Using set() + frozenset() + generator expression
res = set([frozenset(sub) for sub in test_list])
  
# printing result 
print("Tuple matrix after removal : " + str(res))

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Output :

The original list is : [[(4, 5), (3, 2)], [(2, 2), (4, 6)], [(3, 2), (4, 5)]]
Tuple matrix after removal : {frozenset({(4, 5), (3, 2)}), frozenset({(4, 6), (2, 2)})}



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