Skip to content
Related Articles

Related Articles

Improve Article
Save Article
Like Article

Python – pass multiple arguments to map function

  • Last Updated : 23 Jun, 2020

The map() function is a built-in function in Python, which applies a given function to each item of iterable (like list, tuple etc) and returns a list of results or map object. 

Syntax :

map(funct, iterbl)

Parameters :

funct : The function which is going to execute for each iterable
iterbl : A sequence or collection of iterable objects which is to be mapped

Note :

  1.  You can pass as many iterable as you like to map() function.
  2. Ensure that function has one parameter for each iterable.

Example :

Python3




# Python program to show working
# of map() function
  
# Return cube of n
def cube(n):
    return n**3
  
# Taking list as iterator
evennum = [2,4,6,8]
res = map(cube,evennum)
print(list(res))

Output :

[8, 64, 216, 512]

Passing Multiple Arguments to map() function

We can pass multiple iterable arguments to map() function. For this certain rules must be followed-

  • Suppose we pass n iterable to map(), then the given function should have n number of arguments.
  • These iterable arguments must be applied on given function in parallel.
  • In multiple iterable arguments, when shortest iterable is drained, the map iterator will stop.
  • But in case of Python 2, the map iterator will stop when longest sequence is finished.

CODE 1 : Passing two lists and ‘sum’ function to map().

Approach:  

  • Define a function sum, which returns sum of two numbers.
  • Declaring and initializing lst1 and lst2.
  • Passing sum function, lst1 and lst2 to map().
  • The element at index 0 from both the list will pass on as argument to sum function and their sum will be returned.
  • This loop continues till elements of one list get exhausted.
  • The result will be stored in result list.

Python3




# Python program to demonstrate
# passing of multiple iterable arguments to map()
# using 2 lists
  
# Function which return sum of 2 numbers
def sum(a,b):
    return a+b
  
# list 1
lst1=[2,4,6,8]
  
# list 2
lst2=[1,3,5,7,9]
  
  
result=list(map(sum,lst1,lst2))
print(result)

Output :

[3, 7, 11, 15]

CODE 2 :  Passing three lists and ‘Multiply’ function to map().

Approach:  

  • Define a function Multiply, which returns product of three numbers.
  • Declaring and initializing lst1, lst2 and lst3.
  • Passing Multiply function, lst1, lst2 and lst3 to map().
  • The element at index 0 from all three lists will pass on as argument to Multiply function and their product will be returned.
  • This loop continues till elements of one list get exhausted.
  • The result will be stored in result list.

Python3




# Python program to demonstrate
# passing of multiple iterable arguments to map()
# using 3 lists
  
# Function which return product of 2 numbers
def Multiply(a,b,c):
    return a*b*c
  
# list 1
lst1=[2,4,6,8,10,12,14,16]
  
# list 2
lst2=[1,3,5,7,9,11,15]
  
#list 3
lst3=[2,3,5,7,11,13,17]
  
  
result=list(map(Multiply,lst1,lst2,lst3))
print(result)

Output :

[4, 36, 150, 392, 990, 1716, 3570]

CODE 3 : Passing ‘division’ function, one list and one tuple to map().

Approach :

  • Defining and initializing list and tuple.
  • Defining division function which performs division of two number.
  • Passing lst, tup and division function to map().
  • The element at index 0 from list and tuple will pass on as argument to division function and their quotient will be returned.
  • This loop continues till elements of either list or tuple get exhausted.
  • The result will be stored in result list.

Python3




# Python program to demonstrate
# passing of multiple iterable arguments to map()
# using list and tuple
  
# Function which perform division of 2 numbers
def division(a,b):
    return a/b
  
# list 
lst=[2,4,6,8,10,12,14,16]
  
# tuple
tup=(2,3,5,7,9,11)
  
result=list(map(division,lst,tup))
print(result)

Output :

[1.0, 1.3333333333333333, 1.2, 1.1428571428571428, 1.1111111111111112, 1.0909090909090908]


My Personal Notes arrow_drop_up
Recommended Articles
Page :

Start Your Coding Journey Now!