Try this code:
>>> the_list = [1, 7, 6, 5, 4, 3, 2, 3, 4, 5, 6, 7, 6, 5, 4, 3, 2, 3, 4, 5, 6, 7]
>>> print(the_list)
[1, 7, 6, 5, 4, 3, 2, 3, 4, 5, 6, 7, 6, 5, 4, 3, 2, 3, 4, 5, 6, 7]
>>> the_filtered_list = list(filter(lambda x: x > 5, the_list))
>>> print(the_filtered_list)
[7, 6, 6, 7, 6, 6, 7]
See
EDIT:
Another option is to use a generator expression:
>>> the_filtered_list = list(i for i in the_list if i > 5)
>>> print(the_filtered_list)
[7, 6, 6, 7, 6, 6, 7]
See
EDIT:
My initial answer was indeed slow and memory inefficient. Here is the comparison of several possibilities. Which one to choose depends on how big the list is and what it is used for later.
>>> import random
>>> import timeit
>>> import sys
>>>
>>> the_list = [random.randrange(1, 10) for _ in range(100)]
>>>
>>> timeit.timeit('filter(lambda x: x > 5, the_list)', setup=f'the_list = {the_list}')
0.15890196000000856
>>> timeit.timeit('[i for i in the_list if i > 5]', setup=f'the_list = {the_list}')
2.633208761999981
>>> timeit.timeit('(i for i in the_list if i > 5)', setup=f'the_list = {the_list}')
0.227755295999998
>>>
>>> timeit.timeit('list(filter(lambda x: x > 5, the_list))', setup=f'the_list = {the_list}')
7.5565902380000125
>>> timeit.timeit('list(i for i in the_list if i > 5)', setup=f'the_list = {the_list}')
3.599053368
>>>
>>> sys.getsizeof(filter(lambda x: x > 5, the_list))
64
>>> sys.getsizeof([i for i in the_list if i > 5])
440
>>> sys.getsizeof((i for i in the_list if i > 5))
128
>>>
>>> sys.getsizeof(list(filter(lambda x: x > 5, the_list)))
480
>>> sys.getsizeof(list(i for i in the_list if i > 5))
480