Sometimes, while working with data, we might have a problem in which we need to find maximum sum between available pairs in list. This can be application to many problems in mathematics domain. Let’s discuss certain ways in which this task can be performed.
Method #1 : Using max()
+ list comprehension
The combination of this functions can be used to perform this task. In this, we compute the sum of all pairs and then return the max of it using max().
# Python3 code to demonstrate working of # Maximum Sum Record # Using list comprehension + max() # initialize list test_list = [( 3 , 5 ), ( 1 , 7 ), ( 10 , 3 ), ( 1 , 2 )] # printing original list print ( "The original list : " + str (test_list)) # Maximum Sum Record # Using list comprehension + max() temp = [b + a for a, b in test_list] res = max (temp) # printing result print ( "Maximum sum among pairs : " + str (res)) |
The original list : [(3, 5), (1, 7), (10, 3), (1, 2)] Maximum sum among pairs : 13
Method #2 : Using max()
+ lambda
This is similar to above method. In this the task performed by list comprehension is solved using lambda function, providing the sum computation logic. Returns the max. sum pair.
# Python3 code to demonstrate working of # Maximum Sum Record # Using lambda + max() # initialize list test_list = [( 3 , 5 ), ( 1 , 7 ), ( 10 , 3 ), ( 1 , 2 )] # printing original list print ( "The original list : " + str (test_list)) # Maximum Sum Record # Using lambda + max() res = max (test_list, key = lambda sub: sub[ 1 ] + sub[ 0 ]) # printing result print ( "Maximum sum among pairs : " + str (res)) |
The original list : [(3, 5), (1, 7), (10, 3), (1, 2)] Maximum sum among pairs : 13
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