Given a Tuple list, remove all tuples with all None values.
Input : test_list = [(None, 2), (None, None), (3, 4), (12, 3), (None, )]
Output : [(None, 2), (3, 4), (12, 3)]
Explanation : All None tuples are removed.Input : test_list = [(None, None), (None, None), (3, 4), (12, 3), (None, )]
Output : [(3, 4), (12, 3)]
Explanation : All None tuples are removed.
Method #1 : Using all() + list comprehension
In this, we use all() to check for all None values for discarding and list comprehension does task of iteration.
Python3
# Python3 code to demonstrate working of # Remove None Tuples from List# Using all() + list comprehension # initializing listtest_list = [(None, 2), (None, None), (3, 4), (12, 3), (None, )] # printing original listprint("The original list is : " + str(test_list)) # negating result for discarding all None Tuplesres = [sub for sub in test_list if not all(ele == None for ele in sub)] # printing result print("Removed None Tuples : " + str(res)) |
Output:
The original list is : [(None, 2), (None, None), (3, 4), (12, 3), (None,)]
Removed None Tuples : [(None, 2), (3, 4), (12, 3)]
Method #2 : Using filter() + lambda + all()
In this method, task of filtering None tuples is done using filter() and lambda function to provide None checking functionality using all().
Python3
# Python3 code to demonstrate working of # Remove None Tuples from List# Using filter() + lambda + all() # initializing listtest_list = [(None, 2), (None, None), (3, 4), (12, 3), (None, )] # printing original listprint("The original list is : " + str(test_list)) # filter() + lambda to drive logic of discarding tuplesres = list(filter(lambda sub : not all(ele == None for ele in sub), test_list)) # printing result print("Removed None Tuples : " + str(res)) |
Output:
The original list is : [(None, 2), (None, None), (3, 4), (12, 3), (None,)]
Removed None Tuples : [(None, 2), (3, 4), (12, 3)]
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