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Python map() Function: Use, Syntax, and Examples

Python map() function: In this tutorial, we will learn about the map() function in Python with its use, syntax, parameters, returns type, and examples. By IncludeHelp

Python map() Function

The map() function is a library function in Python, it is used to process and transform all the items in an iterable (list, tuple, dict, set) without using a for a loop. The map() function returns a map object (which is an iterator) of the results after applying the given function to each item of a given iterable.

Syntax

The following is the syntax of abs() function:

map(function, iterable_type)

Parameter(s):

The following are the parameter(s):

• function: Function for which the map() passes each element of the given iterable.
• iterable_type: It is an iterable type that is to be mapped.

Note: More than one iterables can be passed to the map() function.

Return Value

The map() function returns a list of the results after applying the given function to each item of a given iterable.

Python map() Example 1: Square of all numbers

# Python program to demonstrate the 
# example of map() function
  
# Function to calculate the square
def square(n):
    return n*n
  
# Using map() - 
# finding the square of all numbers
values = (10, 20, 1, 5, 7)
print("The values: ", values)

squares = map(square, values)

print("The squares: ", list(squares))

Output

The values:  (10, 20, 1, 5, 7)
The squares:  [100, 400, 1, 25, 49]

Python map() Example 2: Use of lambda expression with map()

# Python program to demonstrate the 
# example of map() function

# Using map() - 
# finding the square of all numbers
values = (10, 20, 1, 5, 7)
print("The values: ", values)

squares = map(lambda n: n * n, values)

print("The squares: ", list(squares))

Output

The values:  (10, 20, 1, 5, 7)
The squares:  [100, 400, 1, 25, 49]

Python map() Example 3: Add two lists using map() and lambda expression

# Python program to demonstrate the 
# example of map() function

# Adding two lists using map() and lambda
  
list1 = [10, 20, 30]
list2 = [11, 22, 33]
  
sum_lists = map(lambda m, n: m + n, list1, list2)

print("list1: ", list1)
print("list2: ", list2)
print("sum_lists: ", list(sum_lists))

Output

list1:  [10, 20, 30]
list2:  [11, 22, 33]
sum_lists:  [21, 42, 63]