The Python map function applies the user given function to each and every item in an iterable such as list, tuple etc and returns a list of the result values.
In this article we will show you, How to use this map function in Python Programming with example.
Python map Function Syntax
The basic syntax of the Python map function is as shown below:
map(function_name, iterables,...)
The following set of examples will help you understand the map function in Python programming language.
Python map Values Example
In this example, we declared a function called addition. This function adds number to itself and returns that value. Next, we declared a list of numbers from 10 to 50.
TIP: Please refer Python List article to understand the lists.
Next, we used map function to assign that addition function to each and every item in a numbers list.
By default map function returns map object as an output value. So, we have to convert that map object to any of the Iterable. The last print statement converts the map object to list and prints the list of mapped values.
# Python map function def addition(num): return num + num numbers = [10, 20, 30, 40, 50] map_result = map(addition, numbers) print(list(map_result))
OUTPUT
Python String map Example
In this example, we are using both the numeric values and list of characters. Here, map(addition, chars) means for each character in char list, it will call the addition function. + symbol on characters or strings will concat them.
def addition(num):
return num + num
chars = ['a', 'b', 'c', 'd', 'e']
numbers = [10, 20, 30, 40, 50]
map_result = map(addition, chars)
print('Chars List = ', list(map_result))
result = map(addition, numbers)
print('Numbers List = ', list(result))OUTPUT
Python map Multiple arguments Example
Until now, we are using this map function on one iterable (single list). In this example, we created a function that accepts two arguments, and returns the sum of those values. Next, we declared two lists of numeric values.
Here, map(addition, numbers1, numbers2) means it takes first value from two lists and apply addition function and so on. For example, map(addition, 10, 150) becomes 160.
Next, we are using the same function on fruits (string list). It performs concatenation.
def addition(a, b): return a + b numbers1 = [10, 20, 30, 40, 50] numbers2 = [150, 250, 350, 450, 550] map_result = map(addition, numbers1, numbers2) print(list(map_result)) fruits1 = ['apple', 'orange', 'kiwi'] fruits2 = ['banana', 'cherry', 'berry'] result = map(addition, fruits1, fruits2) print(list(result))
OUTPUT
Python map with built-in functions Example
In this example, we are using the built-in function as the mapping functions. For this, we used factorial function, and Len functions.
Here, factorial function finds the factorial of each list item a numbers list. Next, len function finds the length of each item or fruits in a fruits list.
import math def factorial_func(num): return math.factorial(num) def len_func(x): return len(x) numbers = [1, 2, 3, 4, 5, 6, 7] map_result = map(factorial_func, numbers) print(list(map_result)) fruits = ['apple', 'orange', 'kiwi', 'banana', 'pineapple'] result = map(len_func, fruits) print(list(result))
OUTPUT
Python map lambda Example
You can use the lambda function or expression inside this map function. By this, you can read the code easily.
map(lambda x: x * x, numbers) returns the square of each item in numbers list. map(lambda a:a.upper(), fruits) uses upper function and converts each fruit to uppercase. Next, map(lambda a:a.capitalize(), fruits) uses capitalize function to capitalise the first character in each fruit.
numbers = [10, 20, 30, 40, 50, 60] map_result = map(lambda x: x * x, numbers) print(list(map_result)) fruits = ['apple', 'orange', 'kiwi', 'banana', 'pineapple'] result = map(lambda a:a.upper(), fruits) print(list(result)) result2 = map(lambda a:a.capitalize(), fruits) print(list(result2))
OUTPUT
Python map lambda Multiple arguments Example
Let me use multiple iterables in map function along with lambda. This example accepts two lists and adds each item in one list with another list.
numbers1 = [10, 20, 30, 40, 50] numbers2 = [150, 250, 350, 450, 550] map_result = map(lambda x, y: x + y, numbers1, numbers2) print(list(map_result)) fruits1 = ['apple', 'orange', 'kiwi'] fruits2 = ['banana', 'cherry', 'berry'] result = map(lambda a, b: a + b, fruits1, fruits2) print(list(result))
OUTPUT
Python map lambda Multiple functions Example
Until now, we shown you, how to use a single function with a list of values. However, you can also apply multiple functions on each item using this map function. Here, we declared or defined three functions. Next, we created a list with these three function names.
First, we are using for loop with range to iterate values from 1 to 9. Next, we used map function with lambda to assign each for loop item to functions list. It means, for 1, map function will call square_func, tripple_func and four_func similarly for 2 and so on.
def square_func(num):
return num**2
def tripple_func(num):
return num * num * num
def four_func(num):
return num**4
function_list = [square_func, tripple_func, four_func]
for i in range(1, 10):
number = map(lambda x: x(i), function_list)
print("For ", i, " = " , list(number))OUTPUT
Convert Python map to list, set and tuple
Until now, we are showing the mapped result as a list. However, you can convert them to any iterable such as tuple or set.
- For list use list(mapped_result)
- For tuple use tuple(mapped_result)
- Same for the set. Use set(mapped_result)
For this, first, we created a function to find the square of a given number, and then declared a numbers list. Next, we are converting the map result to list, tuple and set.
def square_func(num): return num**2 numbers = [10, 20, 30, 40, 50] list_result = map(square_func, numbers) my_list = list(list_result) print(my_list) tuple_result = map(square_func, numbers) my_tuple = tuple(tuple_result) print(my_tuple) set_result = map(square_func, numbers) my_set = set(set_result) print(my_set)
OUTPUT
Python map list and tuple example
You can use this map function to convert the list to nested list or nested tuple. Here, we are calling the list function along with fruits list inside a map function.
fruits = ['apple', 'berry', 'kiwi'] result = map(list, fruits) print(list(result)) result2 = map(tuple, fruits) print(tuple(result2))
OUTPUT
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