Call int() function on every list element?
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Chapters
00:00 Call Int() Function On Every List Element?
00:32 Accepted Answer Score 409
00:44 Answer 2 Score 160
01:01 Answer 3 Score 9
01:34 Answer 4 Score 28
01:51 Thank you
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Full question
https://stackoverflow.com/questions/3371...
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Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...
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Tags
#python #list #typeconversion #integer
#avk47
Rise to the top 3% as a developer or hire one of them at Toptal: https://topt.al/25cXVn
--------------------------------------------------
Music by Eric Matyas
https://www.soundimage.org
Track title: Future Grid Looping
--
Chapters
00:00 Call Int() Function On Every List Element?
00:32 Accepted Answer Score 409
00:44 Answer 2 Score 160
01:01 Answer 3 Score 9
01:34 Answer 4 Score 28
01:51 Thank you
--
Full question
https://stackoverflow.com/questions/3371...
--
Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...
--
Tags
#python #list #typeconversion #integer
#avk47
ACCEPTED ANSWER
Score 409
This is what list comprehensions are for:
numbers = [ int(x) for x in numbers ]
ANSWER 2
Score 160
In Python 2.x another approach is to use map:
numbers = map(int, numbers)
Note: in Python 3.x map returns a map object which you can convert to a list if you want:
numbers = list(map(int, numbers))
ANSWER 3
Score 28
just a point,
numbers = [int(x) for x in numbers]
the list comprehension is more natural, while
numbers = map(int, numbers)
is faster.
Probably this will not matter in most cases
Useful read: LP vs map
ANSWER 4
Score 9
If you are intending on passing those integers to a function or method, consider this example:
sum(int(x) for x in numbers)
This construction is intentionally remarkably similar to list comprehensions mentioned by adamk. Without the square brackets, it's called a generator expression, and is a very memory-efficient way of passing a list of arguments to a method. A good discussion is available here: Generator Expressions vs. List Comprehension