Here is an example:
Table of Contents
Table of Contents
Introduction
Python is a high-level programming language that is widely used for various applications. One of the most common data structures in Python is a dictionary. A dictionary is a collection of key-value pairs, where each key is unique. In this article, we will focus on the use of map in Python dictionary.What is Map in Python?
In Python, map is a built-in function that applies a given function to each item of an iterable and returns a new iterable. The function takes an iterable as input and returns an iterable of the same length. It is a powerful tool that can be used to perform operations on multiple items in a collection.Using Map with Dictionary
Map can be used with dictionary in Python to perform various operations on the values of the dictionary. Suppose we have a dictionary that contains the prices of different items, and we want to apply a discount of 10% to all the prices. We can use map to achieve this.Here is an example:
``` prices = {'apple': 10, 'banana': 20, 'orange': 15} discounted_prices = list(map(lambda x: x*0.9, prices.values())) ```This will apply a discount of 10% to all the prices in the dictionary and store the discounted prices in a new list called 'discounted_prices'.
Question and Answer
Q: What is the advantage of using map with dictionary in Python?
A: Map enables us to perform operations on all the values of a dictionary at once, which saves time and makes the code more efficient.
Q: Can map be used to modify the keys of a dictionary in Python?
A: No, map can only be used to modify the values of a dictionary. To modify the keys, we need to use other methods such as dictionary comprehension or a loop.
