Python – Rows intersection with K

Sometimes while working with Python Matrix, we can have a problem in which we need to extract all the rows which match with other matrix, which has a specific element. This kind of problem can occur in data domains as Matrix are input data types for many problems. Let’s discuss certain ways in which this task can be performed.
 

Input : 
test_list1 = [[5, 6, 7], [7, 6, 6], [5, 7, 10]] 
test_list2 = [[5, 6, 7], [7, 6, 8], [5, 7, 10]] 
K = 7 
Output : 2
Input : 
test_list1 = [[6, 7], [6], [5]] 
test_list2 = [[6, 7], [7], [5]] 
K = 6 
Output : 1 
 

Method #1 : Using sum() + generator expression 
The combination of above functions can be used to solve this problem. In this, we perform the task of counting match using sum(), and generator expression is used to perform the task of comparison.
 

The original list 1 is : [[5, 6, 7], [7, 6, 6], [5, 7, 10]]
The original list 2 is : [[5, 6, 7], [7, 6, 8], [5, 7, 10]]
The matched rows : 2

Time Complexity: O(n*n) where n is the number of elements in the list “test_list”. sum() + generator expression performs n*n number of operations.
Auxiliary Space: O(1), constant extra space is required

 
Method #2 : Using Counter() + sum() + list comprehension 
The combination of above functions can be an alternative to solve this problem. In this, we perform summation using sum() and Counter() is used to map rows from list2 to compare with list1 while counting frequency summation.
 

The original list 1 is : [[5, 6, 7], [7, 6, 6], [5, 7, 10]]
The original list 2 is : [[5, 6, 7], [7, 6, 8], [5, 7, 10]]
The matched rows : 2