Sorted Word frequency count using python

Sorted Word frequency count using python

To create a sorted word frequency count in Python, you can follow these steps:

  1. Tokenize the input text into words.
  2. Count the frequency of each word.
  3. Sort the words based on their frequencies.
  4. Print or manipulate the sorted word frequency count as needed.

Here's a Python script that accomplishes this:

from collections import Counter # Sample input text text = "This is a sample text. This text contains sample words." # Tokenize the input text into words words = text.split() # Count the frequency of each word using Counter word_freq = Counter(words) # Sort the words by frequency in descending order sorted_word_freq = sorted(word_freq.items(), key=lambda x: x[1], reverse=True) # Print the sorted word frequency count for word, freq in sorted_word_freq: print(f"{word}: {freq}")

This script first tokenizes the input text using the split() method, then uses the Counter class from the collections module to count the frequency of each word. Finally, it sorts the word frequency count in descending order and prints the results.

You can replace the text variable with your own input text to get the word frequency count for your specific data.

Examples

  1. How to count word frequency in a text file using Python?

    • Description: This query addresses counting the frequency of each word in a text file.
    • Code:
      from collections import Counter # Read the text file with open('textfile.txt', 'r') as file: text = file.read() # Tokenize and count word frequencies words = text.split() word_count = Counter(words) print(word_count)

  2. How to count and sort word frequency in a text file using Python?

    • Description: This query focuses on counting word frequency and then sorting the results.
    • Code:
      # Count and sort by frequency sorted_word_count = sorted(word_count.items(), key=lambda item: item[1], reverse=True) print(sorted_word_count)

  3. How to count and sort word frequency with case-insensitive words in Python?

    • Description: This query involves counting word frequency without case sensitivity.
    • Code:
      # Convert words to lowercase for case-insensitive counting words = [word.lower() for word in words] word_count = Counter(words) # Sort by frequency sorted_word_count = sorted(word_count.items(), key=lambda item: item[1], reverse=True) print(sorted_word_count)

  4. How to count and sort word frequency while removing punctuation in Python?

    • Description: This query addresses removing punctuation before counting word frequency.
    • Code:
      import string # Remove punctuation and re-count words words_cleaned = [word.strip(string.punctuation) for word in words] word_count_cleaned = Counter(words_cleaned) # Sort by frequency sorted_word_count_cleaned = sorted(word_count_cleaned.items(), key=lambda item: item[1], reverse=True) print(sorted_word_count_cleaned)

  5. How to count and sort word frequency with stopword removal in Python?

    • Description: This query focuses on removing common stopwords (like 'the', 'and') before counting.
    • Code:
      from nltk.corpus import stopwords # Load stopwords stop_words = set(stopwords.words('english')) # Remove stopwords words_filtered = [word for word in words if word.lower() not in stop_words] # Count and sort word frequencies word_count_filtered = Counter(words_filtered) sorted_word_count_filtered = sorted(word_count_filtered.items(), key=lambda item: item[1], reverse=True) print(sorted_word_count_filtered)

  6. How to count and sort word frequency in a list of strings in Python?

    • Description: This query demonstrates counting word frequency from a list of strings (like a list of sentences).
    • Code:
      text_list = ["Hello world", "Hello everyone", "Welcome to Python"] # Create a list of words from all strings all_words = [word for text in text_list for word in text.split()] # Count and sort word_count = Counter(all_words) sorted_word_count = sorted(word_count.items(), key=lambda item: item[1], reverse=True) print(sorted_word_count)

  7. How to count and sort word frequency in a large text file in Python?

    • Description: This query involves counting word frequency in a large text file, focusing on efficient processing.
    • Code:
      # Read the large text file in chunks word_count = Counter() with open('large_textfile.txt', 'r') as file: for line in file: words = line.split() word_count.update(words) # Sort by frequency sorted_word_count = sorted(word_count.items(), key=lambda item: item[1], reverse=True) print(sorted_word_count)

  8. How to visualize word frequency counts using a word cloud in Python?

    • Description: This query demonstrates how to visualize word frequency using a word cloud.
    • Code:
      from wordcloud import WordCloud import matplotlib.pyplot as plt # Generate a word cloud wordcloud = WordCloud(width=800, height=400).generate_from_frequencies(word_count) # Display the word cloud plt.imshow(wordcloud, interpolation='bilinear') plt.axis("off") plt.show()

  9. How to count word frequency with custom delimiters in Python?

    • Description: This query focuses on counting word frequency when words are separated by custom delimiters (not just spaces).
    • Code:
      custom_delimiters = ";,.!? " # Split words using custom delimiters words = [word for delimiter in custom_delimiters for word in text.split(delimiter)] # Count and sort by frequency word_count = Counter(words) sorted_word_count = sorted(word_count.items(), key=lambda item: item[1], reverse=True) print(sorted_word_count)

  10. How to count and sort word frequency for specific words in Python?

    • Description: This query addresses counting word frequency for a specific subset of words.
    • Code:
      specific_words = {'python', 'hello', 'world'} # Count frequencies for specific words only specific_word_count = Counter([word.lower() for word in words if word.lower() in specific_words]) sorted_specific_word_count = sorted(specific_word_count.items(), key=lambda item: item[1], reverse=True) print(sorted_specific_word_count)

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