Fundamentals 4 min read

How to Strip Unwanted Text with Python Regex: A Step‑by‑Step Guide

This article walks through using Python's re module to remove specific patterns—including multiline sections—from a text file, explains the role of the re.S flag, and provides a complete, ready‑to‑run code example for batch text cleaning.

Python Crawling & Data Mining
Python Crawling & Data Mining
Python Crawling & Data Mining
How to Strip Unwanted Text with Python Regex: A Step‑by‑Step Guide

Introduction

In a recent Python community discussion a user asked about using Python regular expressions to remove certain patterns from a text file. The author proposes a solution using the re module.

Implementation

The provided script opens a text file (e.g., "Journey to the West.txt") with GBK encoding, reads its content, and applies re.sub(r'#.*?#', '', data) to delete text between hash symbols. The result is written back to the same file.

import re
filename = '西游记全集(吴承恩).txt'
with open(filename, 'r', encoding='gbk') as f:
    data = f.read()

result = re.sub(r'#.*?#', '', data)

with open(filename, 'w', encoding='gbk') as f2:
    f2.write(result)

To also remove multiline comments, the re.S flag can be added so that the newline character is treated as a normal character within the pattern.

Conclusion

The article demonstrates how to use Python regular expressions for batch text cleaning, provides a complete code example, and explains the effect of the re.S flag for matching across lines.

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Pythontext processingProgramming tutorialfile-handlingre module
Python Crawling & Data Mining
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