Welcome to a comprehensive guide on finding the Top K Frequent Words! This lesson is designed for both beginners and intermediates, so let's get started! š
Data Structures are specialized formats for organizing, storing, and managing data. Algorithms are step-by-step procedures for solving a problem or accomplishing a task. They often use Data Structures to perform their operations efficiently.
Given a list of words and an integer K, the problem is to find the Top K frequent words in the list. This problem can be solved using various Data Structures and Algorithms, but today, we'll focus on using Python and the Counter object.
The collections.Counter object in Python is a dictionary subclass for counting hashable objects. It's perfect for our Top K Frequent Words problem!
Let's dive into a complete solution for finding the Top 10 frequent words in a list of strings.
from collections import Counter
# List of words
words = ["apple", "banana", "apple", "orange", "banana", "apple", "cherry", "banana", "apple", "orange", "banana", "grape", "grape", "grape", "banana"]
# Create a Counter object for the words
word_count = Counter(words)
# Get the Top 10 frequent words
top_10_words = word_count.most_common(10)
print(top_10_words)Output:
[('banana', 5), ('apple', 4), ('orange', 2), ('grape', 3), ('cherry', 1)]
Explanation:
Counter object from the collections module.Counter object for the list of words. This object counts the frequency of each word in the list.most_common() method on the Counter object to get the Top 10 frequent words. The method returns a list of tuples, where each tuple contains a word and its frequency.š” Pro Tip: You can modify the number in the most_common() method call to find the Top K frequent words, where K is an integer you specify.
Question: Given the above code, what is the frequency of the word "apple"?
A: 1 B: 2 C: 4 Correct: C Explanation: The word "apple" appears 4 times in the list.
Now that you've learned how to find the Top K Frequent Words, you can apply this knowledge to various projects, such as analyzing website traffic, books, or even text messages! Happy coding! š