What Is Map Function In Python With Example

Python is a popular programming language that is used for various purposes such as web development, data analysis, machine learning, and more. One of the useful functions in Python is the map() function. This function is used to apply a specific operation to each element of a list or other iterable objects. In this article, we will discuss what is map function in Python with example.

What is map() function in Python?

The map() function is a built-in Python function that takes two or more parameters. The first parameter is a function that defines the operation to be performed, and the second parameter is an iterable object such as a list, tuple, or dictionary. The map() function applies the operation defined by the first parameter to each element of the iterable object and returns a new iterable object with the results.

How to use map() function in Python?

The syntax of map() function is as follows:

map(function, iterable, ...)

The first parameter is the function that defines the operation to be performed, and the second parameter is the iterable object. You can also pass multiple iterable objects as parameters. The map() function applies the function to each element of the iterable objects and returns a new iterable object with the results.

Example 1:

Let's say you have a list of numbers and you want to add 1 to each number. You can use the map() function to achieve this as follows:

numbers = [1, 2, 3, 4, 5] new_numbers = map(lambda x: x + 1, numbers) print(list(new_numbers)) # Output: [2, 3, 4, 5, 6]

In this example, we first define a list of numbers. We then use the map() function with a lambda function that adds 1 to each number in the list. The map() function returns a new iterable object with the results, which we convert to a list and print.

Example 2:

You can also use the map() function with multiple iterable objects. Let's say you have two lists of numbers and you want to add the corresponding elements of each list. You can use the map() function to achieve this as follows:

numbers1 = [1, 2, 3, 4, 5] numbers2 = [5, 4, 3, 2, 1] new_numbers = map(lambda x, y: x + y, numbers1, numbers2) print(list(new_numbers)) # Output: [6, 6, 6, 6, 6]

In this example, we define two lists of numbers. We then use the map() function with a lambda function that adds the corresponding elements of each list. The map() function returns a new iterable object with the results, which we convert to a list and print.

Question and Answer

Q: What is the purpose of map() function in Python?

A: The map() function is used to apply a specific operation to each element of a list or other iterable objects and return a new iterable object with the results.

Q: What are the parameters of map() function?

A: The map() function takes two or more parameters. The first parameter is a function that defines the operation to be performed, and the second parameter is an iterable object such as a list, tuple, or dictionary. You can also pass multiple iterable objects as parameters.

Q: Can you use map() function with multiple iterable objects?

A: Yes, you can use the map() function with multiple iterable objects. The function applies the operation defined by the first parameter to each element of the iterable objects and returns a new iterable object with the results.

Q: What is a lambda function?

A: A lambda function is a small anonymous function that can have any number of arguments, but can only have one expression. It is useful for shortening code and defining functions that are only used once.

Overall, the map() function is a powerful tool in Python that can simplify your code and make it more efficient. It is useful for performing operations on iterable objects such as lists, tuples, and dictionaries. We hope this article has helped you understand what is map function in Python with example.