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Скачать или смотреть Mastering XML Parsing in Python: How to Extract String Indexes from Child Nodes

  • vlogize
  • 2025-08-20
  • 2
Mastering XML Parsing in Python: How to Extract String Indexes from Child Nodes
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Описание к видео Mastering XML Parsing in Python: How to Extract String Indexes from Child Nodes

Learn how to effectively parse XML in Python using Minidom and extract string indexes of child nodes with this detailed guide.
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This video is based on the question https://stackoverflow.com/q/65007421/ asked by the user 'clanofsol' ( https://stackoverflow.com/u/8167370/ ) and on the answer https://stackoverflow.com/a/65015820/ provided by the user 'Jack Fleeting' ( https://stackoverflow.com/u/9448090/ ) 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: XML parsing in Python: how to get the string indexes of child nodes with regard to the flattened string

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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Mastering XML Parsing in Python: How to Extract String Indexes from Child Nodes

As a newcomer to XML parsing in Python, you may be exploring how to retrieve specific data from XML files. One common challenge is obtaining the string indexes of child nodes in a way that they correspond to a flattened string representation of the XML content. In this post, we will walk through a practical solution using the lxml library, specifically focusing on how to derive the required information from an example XML structure.

Understanding XML Parsing

Let's take a look at the example XML structure we are dealing with:

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

From this XML, we want to achieve two things:

Combine the text of the parent node and its children into a single string.

Extract a list of triplets containing the child's tag name along with its start and end indexes in the flattened string.

Expected Output

For the given XML example, the expected output should be:

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

Here, the text "might" starts at index 14 and ends at index 18, while "be useful" starts at index 19 and ends at index 28.

Step-by-Step Solution

1. Setup Your Environment

Before coding, ensure that you have the lxml library installed, as it provides robust XML parsing capabilities. You can install it using pip:

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

2. Code Implementation

Here's how to implement the solution step by step in Python using lxml:

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

3. Explanation of the Code

Initialization: The XML string is parsed into a format that Python can work with.

String Cleanup: The space_rem function ensures that excess spaces (and line breaks) are removed from the strings.

Building Index Data: The build function extracts text from the specified tags, calculates their start and end positions, and compiles them into lists.

Text Extraction: The main loop collects all text from the XML nodes and prepares it for analysis.

4. Output Interpretation

The output tuple from the final print call will contain:

The complete flattened string.

Lists of tuples for both bar and foo tags, showing their respective indexes.

Conclusion

In this guide, we explored how to parse XML in Python using lxml while focusing on extracting string indexes of child nodes effectively. By breaking down the solution and explaining each step, you should now have a good understanding of how to tackle XML parsing challenges in your projects. Happy coding!

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