Jun 11, 2012 · The map() function is there to apply the same procedure to every item in an iterable data structure, like lists, generators, strings, and other stuff. Let's look at an example: map() can iterate …

Feb 5, 2016 · What is the most efficient way to map a function over a numpy array? I am currently doing: import numpy as np x = np.array([1, 2, 3, 4, 5]) # Obtain array of square ...

Is there any way to map list items to a function along with arguments? I have a list: pages = [p1, p2, p3, p4, p5...] And I have to call function myFunc corresponding to each list elements along w...

In the Python multiprocessing library, is there a variant of pool.map which supports multiple arguments?

I'm not sure why the code below works. According to docs, map only takes one function as the first argument and applies it to one or more iterables, depending on how many parameters the function ta...

map(add, [1, 2, 3], 2) The semantics are I want to add 2 to every element of the array. But the map function requires a list in the third argument as well. Note: I am putting the add example for simplicity. …

56 map is useful when you want to apply the function to every item of an iterable and return a list of the results. This is simpler and more concise than using a for loop and constructing a list. for is often …

list(map(chr,[66,53,0,94])) In Python 3+, many processes that iterate over iterables return iterators themselves. In most cases, this ends up saving memory, and should make things go faster. If all …

Jun 9, 2014 · The developers who made Python obviously put some work into creating the map() function, and they even decided NOT to take it out of 3.0, and instead continue working on it.

Sep 1, 2016 · In Python 2, map() returns a list (so the list comprehension is the equivalent), in Python 3, map() is a generator (so the generator expression can replace it).