Sometimes, while dealing with tuples, we can have problem in which we need to extract only extreme K elements, i.e maximum and minimum K elements in Tuple. This problem can have applications across domains such as web development and Data Science. Let’s discuss certain ways in which this problem can be solved.
Input : test_tup = (3, 7, 1, 18, 9), k = 2
Output : (3, 1, 9, 18)Input : test_tup = (3, 7, 1), k=1
Output : (1, 3)
Method #1 : Using sorted()
+ loop
The combination of above functionalities can be used to solve this problem. In this, we perform the sort operation using sorted(), and the problem of extraction of max and min K elements using loop.
# Python3 code to demonstrate working of # Maximum and Minimum K elements in Tuple # Using sorted() + loop # initializing tuple test_tup = ( 5 , 20 , 3 , 7 , 6 , 8 ) # printing original tuple print ( "The original tuple is : " + str (test_tup)) # initializing K K = 2 # Maximum and Minimum K elements in Tuple # Using sorted() + loop res = [] test_tup = list (test_tup) temp = sorted (test_tup) for idx, val in enumerate (temp): if idx < K or idx > = len (temp) - K: res.append(val) res = tuple (res) # printing result print ( "The extracted values : " + str (res)) |
The original tuple is : (5, 20, 3, 7, 6, 8) The extracted values : (3, 5, 8, 20)
Method #2 : Using list slicing + sorted()
The combination of above functions can be used to solve this problem. In this, we perform the task of max, min extraction using slicing rather than brute force loop logic.
# Python3 code to demonstrate working of # Maximum and Minimum K elements in Tuple # Using slicing + sorted() # initializing tuple test_tup = ( 5 , 20 , 3 , 7 , 6 , 8 ) # printing original tuple print ( "The original tuple is : " + str (test_tup)) # initializing K K = 2 # Maximum and Minimum K elements in Tuple # Using slicing + sorted() test_tup = list (test_tup) temp = sorted (test_tup) res = tuple (temp[:K] + temp[ - K:]) # printing result print ( "The extracted values : " + str (res)) |
The original tuple is : (5, 20, 3, 7, 6, 8) The extracted values : (3, 5, 8, 20)
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