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 …

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...

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. …

Jun 9, 2014 · You will notice that Python has some other functional programming functions such as reduce, filter, zip etc. map is part of this class of functions where although each implements a very …

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 ...

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

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 …

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 takes.

In Python 2, map would apply a function to the values of an iterable and return a list. In Python 3, map returns an iterator that applies the function to the iterated values as you loop over it.

55 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 …