Given a Tuple list, the task is to write a Python program to restrict the frequency of the 1st element of tuple values to at most K.
Examples:
Input : test_list = [(2, 3), (3, 3), (1, 4), (2, 4), (2, 5), (3, 4), (1, 4), (3, 4), (4, 7)], K = 2
Output : [(2, 3), (3, 3), (1, 4), (2, 4), (3, 4), (1, 4), (4, 7)]
Explanation : 2 occurs 2 times in result list, (2, 5), the 3rd occurrence is omitted.
Input : test_list = [(2, 3), (3, 3), (1, 4), (2, 4), (2, 5), (3, 4), (1, 4), (3, 4), (4, 7)], K = 3
Output : [(2, 3), (3, 3), (1, 4), (4, 7)]
Explanation : 2, 3, 1, 4 restricted to their 1st occurrence.
Method 1 : Using loop + keys() + conditional statements
In this, we perform task of memorizing count of each element of 1st position of tuples, and omit if its occurrences increases K.
Python3
# Python3 code to demonstrate working of# Restrict Tuples by frequency of first element's value# Using loop + keys() + conditional statements# initializing listtest_list = [(2, 3), (3, 3), (1, 4), (2, 4), (2, 5), (3, 4), (1, 4), (3, 4), (4, 7)]# printing original listprint("The original list is : " + str(test_list))# initializing KK = 2res = []mem = dict()for sub in test_list: # check in memory if sub[0] not in mem.keys(): mem[sub[0]] = 1 else: mem[sub[0]] += 1 # add if less than K frequency if mem[sub[0]] <= K: res.append(sub)# printing resultprint("Filtered tuples : " + str(res)) |
Output:
The original list is : [(2, 3), (3, 3), (1, 4), (2, 4), (2, 5), (3, 4), (1, 4), (3, 4), (4, 7)]
Filtered tuples : [(2, 3), (3, 3), (1, 4), (2, 4), (3, 4), (1, 4), (4, 7)]
Time Complexity: O(n)
Auxiliary Space: O(n)
Method #2 : Using defaultdict() + filter() + lambda
In this, we perform task of memorizing using defaultdict() and filter() and lambda functions are used for the task of checking and adding to result upon meeting of condition.
Python3
# Python3 code to demonstrate working of# Restrict Tuples by frequency of first element's value# Using defaultdict() + filter() + lambdafrom collections import defaultdict# initializing listtest_list = [(2, 3), (3, 3), (1, 4), (2, 4), (2, 5), (3, 4), (1, 4), (3, 4), (4, 7)]# printing original listprint("The original list is : " + str(test_list))# initializing KK = 2mem = defaultdict(list)# filtering result using filter() and lambda functionres = list(filter(lambda sub: mem[sub[0]].append( sub[0]) or len(mem[sub[0]]) <= K, test_list))# printing resultprint("Filtered tuples : " + str(res)) |
Output:
The original list is : [(2, 3), (3, 3), (1, 4), (2, 4), (2, 5), (3, 4), (1, 4), (3, 4), (4, 7)]
Filtered tuples : [(2, 3), (3, 3), (1, 4), (2, 4), (3, 4), (1, 4), (4, 7)]
Time Complexity: O(n) where n is the number of elements in the list “test_list”. The defaultdict() + filter() + lambda is used to perform the task and it takes O(n) time.
Auxiliary Space: O(n), new list of size O(n) is created where n is the number of elements in the list
