Скачать или смотреть How to Remove Repeated Lines and Specific Words from a Text File in Python

In this guide, learn how to effectively remove repeated lines and lines containing specific words from a text file using Python. Follow along with our step-by-step guide to clean up your data!
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This video is based on the question https://stackoverflow.com/q/70348479/ asked by the user 'Cassano' ( https://stackoverflow.com/u/17659993/ ) and on the answer https://stackoverflow.com/a/70348623/ provided by the user 'Kedar U Shet' ( https://stackoverflow.com/u/13542152/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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How to Remove Repeated Lines and Specific Words from a Text File in Python

When working with data scraped from the web, you may encounter repeated lines or lines that contain specific keywords that you want to remove from your text files. In this guide, we’ll discuss a straightforward approach using Python to clean up your text, focusing on two primary tasks: removing duplicate lines and eliminating lines containing specific words. We'll provide a sample code to help you achieve this, so let's dive in!

Understanding the Problem

Suppose you have a text file, links.txt, that contains various Twitter URLs with some duplicates and lines you want to filter out. Your goal is to ensure that the resulting file, updatedfile.txt, contains unique lines that do not include certain words. Here’s a quick look at the content of links.txt:

[[See Video to Reveal this Text or Code Snippet]]

The final desired output should only include unique usernames like so:

[[See Video to Reveal this Text or Code Snippet]]

Step-by-Step Solution

The Initial Approach

You might have started off with the following code to remove duplicates:

[[See Video to Reveal this Text or Code Snippet]]

This code effectively eliminates duplicate lines. However, it doesn't filter out lines based on specific keywords, which we'll handle in the next step.

Enhancing the Code

To also remove lines that contain the word "search", we will modify our approach by processing the lines in two main phases. Here’s the updated code snippet that includes both functionalities:

[[See Video to Reveal this Text or Code Snippet]]

Breakdown of the Code

Opening the Files: We first open links.txt to read the lines and store them in a list.

Set for Uniqueness: A set named unique is created to keep track of the lines that have already been added to our output file.

Filtering Lines: In the second phase:

We check if "search" is not present in the line.

We ensure the line has not already been recorded in the unique set.

Finally, we verify that the line contains "twitter.com" (only targeting Twitter URLs).

Writing Valid Lines: If all conditions are satisfied, the line is written to updatedfile.txt, and we add it to unique for future checks.

Final Thoughts

By executing the above code, you can efficiently clean your text files, removing both duplicate entries and those containing certain keywords. This method can be adapted for various other data cleaning tasks, making it a valuable tool in your data processing toolkit.

If you have any further questions or need additional modifications, feel free to share your queries in the comments below! Happy coding!