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: …

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 ...

Let's say we have a function add as follows def add(x, y): return x + y we want to apply map function for an array map(add, [1, 2, 3], 2) The semantics are I want to add 2 to every element …

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

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 …

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 …

756 Can you tell me when to use these vectorization methods with basic examples? I see that map is a Series method whereas the rest are DataFrame methods. I got confused about apply …

Can you explain the use of the lambda function? I thought map passed the elements of the list as parameters to the function. How does the lambda function accept the objects as parameters?

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 …

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.