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 ...

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...

Sep 1, 2012 · Here is how I handle the situation of wanting to mutate the values of a dictionary using map without creating a new data structure or second dictionary. This will work on any dictionary …

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 …

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 …

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. …

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...

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).