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The function takes a text as input and generates a word count histogram using the matplotlib library, showing the 20 most common words and their frequencies in the text.
Technology Stack : matplotlib, Counter, datetime, collections
Code Type : Custom function
Code Difficulty : Intermediate
import random
from datetime import datetime
from collections import Counter
import matplotlib.pyplot as plt
def generate_random_word_count_chart(text):
"""
Generate a word count chart from a given text using matplotlib.
"""
# Split the text into words
words = text.split()
# Count the occurrences of each word
word_counts = Counter(words)
# Sort the words by frequency
sorted_word_counts = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)
# Extract the top 20 most frequent words
top_words = sorted_word_counts[:20]
# Extract the words and their counts
labels, counts = zip(*top_words)
# Plotting
fig, ax = plt.subplots()
ax.bar(labels, counts)
ax.set_xlabel('Words')
ax.set_ylabel('Count')
ax.set_title('Top 20 Most Frequent Words')
# Display the plot
plt.show()
# Example usage
sample_text = "This is a sample text. This text is used to demonstrate the word count chart function."
generate_random_word_count_chart(sample_text)