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Скачать или смотреть Extracting Start and End Text from Image Paths in Python Using Regex

  • vlogize
  • 2025-09-13
  • 2
Extracting Start and End Text from Image Paths in Python Using Regex
how to get the starting text and ending text from image path in python using regex?python 3.ximage text
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Описание к видео Extracting Start and End Text from Image Paths in Python Using Regex

Learn how to extract the `start` and `end` text surrounding image URLs in strings using Python's Regex capabilities. Dive into practical examples and code snippets for better understanding!
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This video is based on the question https://stackoverflow.com/q/62358087/ asked by the user 'Umair Mubeen' ( https://stackoverflow.com/u/13022759/ ) and on the answer https://stackoverflow.com/a/62359846/ provided by the user 'eNc' ( https://stackoverflow.com/u/503835/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: how to get the starting text and ending text from image path in python using regex?

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Extracting Start and End Text from Image Paths in Python Using Regex

In the realm of data processing, there are times when we need to extract specific pieces of information from strings. One common scenario is extracting text that surrounds an image URL embedded within a longer string. In this guide, we'll address how to get both the starting text and ending text around an image path in Python using the re module, which provides full support for Perl-like regular expressions in Python.

The Problem

Consider two examples where you want to extract certain texts surrounding image URLs:

In the first string, the URL is preceded by some descriptive text.

In the second string, the URL is located at the beginning followed by additional information.

Here are the scenarios that we will explore:

Example 1:

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

Example 2:

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

In each case, we want to extract:

Text before the image URL (starting text).

The image URL itself.

Text after the image URL (ending text).

The Solution

To tackle this, we will make use of the re module in Python. Below is a breakdown of how to implement the solution.

Step 1: Import the re Module

Before we can work with regular expressions, we need to import the re module, which provides the functionality we need.

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

Step 2: Define Your Strings

Next, define the input strings from which you'd like to extract the starting and ending texts.

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

Step 3: Create Regular Expression Patterns

We’ll need three patterns:

Start Pattern: This captures everything from the beginning of the string up to the URL.

Image URL Pattern: This captures the image URL itself.

End Pattern: This captures everything that comes after the URL.

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

Step 4: Extract the Texts

Using re.findall(), we can extract the texts based on our patterns. Here’s how you apply it:

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

Results

When you run the above code for Example 1, you will get the results as follows:

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

For Example 2, the output will be:

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

Conclusion

By following these steps, you can easily extract the starting and ending texts surrounding image URLs in Python using Regex. This technique can be incredibly helpful in various data processing tasks, particularly when dealing with text extraction in web scraping or data cleaning operations.

Happy coding! If you have any questions or need further clarification, feel free to ask in the comments below!

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