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Скачать или смотреть How to Update XML Node Values in Python with Conditions

  • vlogize
  • 2025-09-28
  • 0
How to Update XML Node Values in Python with Conditions
Updating XML node value using the condition in Pythonpythonxml
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Описание к видео How to Update XML Node Values in Python with Conditions

Discover a simple yet effective method to update XML node values in Python based on conditions using `lxml`. Learn how to parse and modify XML efficiently!
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This video is based on the question https://stackoverflow.com/q/63605557/ asked by the user 'Raj' ( https://stackoverflow.com/u/12207781/ ) and on the answer https://stackoverflow.com/a/63607529/ 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: Updating XML node value using the condition in Python

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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Introduction

Updating XML node values conditionally can be a challenging task, especially when working with large XML files and needing to meet specific criteria. A common use case involves modifying values only if they meet certain conditions. In this guide, we will guide you through the process of updating XML node values in Python, focusing on how to change the values of PolicyId and TransactionDate based on specific conditions. Let's dive straight into the solution!

Understanding the Problem

Consider the XML data structure below, where you want to update all occurrences of PolicyId to a new random value only when the current value matches a specific condition (PolicyId == POL000002NGJ). Additionally, you will need to update the TransactionDate to the current date and time. Here's a quick overview of the original XML:

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

If your previous attempt to add conditions resulted in a KeyError, don’t worry! We'll use lxml, a more robust library for XML handling in Python that can simplify this task.

Solution Overview

Step-by-Step Breakdown

To achieve the desired transformation of the XML, follow these steps:

Install lxml: If you haven't already, install the library since it's not included in the standard Python library. You can install it using pip:

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

Load the XML: Parse the XML document using lxml.

Identify Nodes To Update: Use XPath to find all relevant nodes that match your condition.

Update the Values: Change the values of PolicyId and TransactionDate based on the conditions.

Example Code

Here is a practical example to illustrate these steps:

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

Explanation of the Code

Importing Libraries: We import etree from lxml for XML manipulation and datetime for setting the current date.

XML Initialization: We load the XML structure into the document.

Generating New Data: We generate a random PolicyId and take the current date for updating the TransactionDate.

XPath Usage: We use an XPath expression to select all ROW nodes where PolicyId equals 'POL000002NGJ'.

Updating Values: For each node meeting our condition, we update the text value of PolicyId and TransactionDate.

Output: Finally, we print the updated XML structure.

Conclusion

By utilizing lxml and XPath, updating XML nodes conditionally in Python becomes a straightforward process. This method not only simplifies your code but also enhances its readability and maintainability. Whether you are handling small configurations or large datasets, the techniques outlined here will serve you well in your XML manipulation tasks!

Feel free to experiment with this code in your own projects. Happy coding!

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