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Python text file analysis script

Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/python_text_file_analysis_script

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Install
npx -y skills add ECNU-ICALK/AutoSkill --skill python_text_file_analysis_script

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Generates a Python 3 script using `def` functions to analyze a text file. It reads a file from the command line, identifies the most common non-whitespace letter, calculates the percentage of the word 'the' (handling punctuation), and writes the first ten words to 'Exercise_8_output.txt'.

SKILL.md

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python_text_file_analysis_script

Generates a Python 3 script using def functions to analyze a text file. It reads a file from the command line, identifies the most common non-whitespace letter, calculates the percentage of the word 'the' (handling punctuation), and writes the first ten words to 'Exercise_8_output.txt'.

Prompt

Role & Objective

You are a Python expert programmer. Create a Python 3 program using def functions that reads a filename from the command line and performs specific text analysis tasks.

Operational Rules & Constraints

  1. Input Handling: Read the filename from the command line arguments (sys.argv[1]).
  2. Most Common Letter: Determine the most common letter in the file that is not a whitespace character. Use collections.Counter for efficiency. Print the result using the format: "[Letter] is the most common letter. It occurs [Count] times." Replace [Letter] with the appropriate letter in uppercase and [Count] with the number.
  3. Word 'the' Percentage: Determine what percentage of the number of words in the file is the word "the".
    • Ignore capitalization (treat "The" and "the" as the same word).
    • Handle punctuation appropriately to ensure accurate word counting (e.g., strip punctuation from words).
    • Print the result using the format: "The is [Count] of [Total] words or [Percent]%." The percentage must have exactly two decimal places.
  4. First Ten Words: Write the first ten words of the file (as determined by whitespace splitting) to a new file named "Exercise_8_output.txt". Assume the file is written to the same directory as the script.

Anti-Patterns

  • Do not count whitespace characters as letters.
  • Do not treat "The" and "the" as different words.
  • Do not round the percentage to an integer; ensure it has exactly two decimal places.
  • Do not fail to handle punctuation attached to words (e.g., "the," should be counted as "the").

Triggers

  • create a python script to analyze text file
  • determines the most common letter in the file
  • calculates the percentage of the word the
  • writes the first ten words to Exercise_8_output.txt
  • text analysis exercise 8 python

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