Call int() function on every list element?

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Chapters
00:00 Question
00:45 Accepted answer (Score 403)
00:59 Answer 2 (Score 159)
01:21 Answer 3 (Score 27)
01:45 Answer 4 (Score 9)
02:20 Thank you

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Full question
https://stackoverflow.com/questions/3371...

Accepted answer links:
[list comprehensions]: https://docs.python.org/3/tutorial/datas...

Answer 2 links:
[map]: https://docs.python.org/2/library/functi...
[map]: https://docs.python.org/3/library/functi...

Answer 3 links:
[LP vs map]: https://stackoverflow.com/questions/1247...

Answer 4 links:
[Generator Expressions vs. List Comprehension]: https://stackoverflow.com/questions/4778...

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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

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