Скачать или смотреть How to Append Wildcard Results to a List in Python

Learn how to use Python's built-in libraries and string functions to efficiently find and append wildcard matches to a list, enhancing your text processing skills.
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How to Append Wildcard Results to a List in Python

If you are delving into Python and text processing, one common task you might encounter is wanting to identify specific patterns within a large body of text. For instance, you may have a large text file and a list of keywords, and you want to find all terms in the text that match any variation of these keywords. Let’s break down how to achieve this using wildcards.

Problem Overview

When working with textual data, especially extensive datasets (like a 9GB text file), you might want to maintain a stop list for topic modeling. In our case, we want to:

Identify specific keywords in a list.

Find all instances in the text that end with any of those keywords.

Append these instances to our existing list of keywords.

This can initially seem daunting, especially if you’re not yet comfortable with regex or specific libraries. However, don’t worry! Python provides effective built-in tools to help us complete this task easily.

The Solution

Using the fnmatch Library

The Python fnmatch library is a handy tool that allows you to match filenames or strings with a wildcard pattern. Below is an example that illustrates how to use fnmatch to find words that match a given pattern.

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

Output:

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Extending the Functionality: Multiple Patterns

We can also extend this functionality to analyze multiple patterns. Below is a more adaptable version that uses Python's str.endswith() method.

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

Output:

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

Final Adjustments

In this extended version, we've made sure to convert the words to lowercase before comparing them with the patterns. This is crucial as it ensures our pattern matching is case insensitive.

Conclusion

With just a few lines of Python code, we can efficiently scan a large body of text, identify words that match specific criteria, and append those to our existing lists. This is a powerful way to refine your stoplist for topic modeling or any other similar tasks.

Now you have the tools to perform wildcard searches efficiently in Python, enabling you to enhance your text processing capabilities significantly!

Happy coding!