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Discover how to effectively export Conditional Probability Tables (CPTs) from PyAgrum outside of Jupyter Notebook to PDF and PNG formats with ease!
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How to Export PyAgrum CPTs Outside of Jupyter Notebook: A Comprehensive Guide

When working with Bayesian networks in PyAgrum, many users find themselves utilizing Jupyter Notebook for its interactive features, especially when it comes to visualizing Conditional Probability Tables (CPTs). However, once you decide to convert your analysis into a .py file, it can be challenging to replicate the same visualization and export functionality, especially for CPTs that you previously displayed using pyAgrum.lib.notebook.showCPTs(). In this guide, we will explore how to effectively export these CPTs to standard formats like PDF and PNG, helping you bridge the gap between Jupyter Notebook and traditional scripting.

The Challenge

You may have encountered the following issues when transitioning from Jupyter Notebook to a .py file:

Exporting CPTs: The inability to directly export CPT visualizations to PDF or PNG formats.

No HTML Access: Lacking access to the HTML representation generated by pyAgrum.lib.notebook.showCPTs() within a Jupyter Notebook.

These challenges can make it difficult to create reports or share visualized data outside of the interactive notebook environment. Fortunately, there is a straightforward solution utilizing the Playwright library.

Solution Overview

By implementing Playwright, a powerful tool for automated browser interactions, you can generate PDF or PNG files from HTML content. Below we break down the steps necessary to achieve this.

Step-by-Step Guide to Exporting CPTs

Here are the essential steps you need to follow to export your CPTs effectively:

Install the Required Packages:
Make sure you have pyAgrum and playwright installed. You can install Playwright through pip with:

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

Utilize the Playwright API:
Use the following code snippet to define functions that export the CPT to both PDF and PNG formats using Playwright. The code uses asynchronous functions, so ensure you run it in an appropriate environment that supports async execution.

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

How the Code Works

Imports: The script begins by importing the necessary libraries.

Export Functions: Two asynchronous functions, exportPotentialAsPDF and exportPotentialAsPNG, are defined to handle the PDF and PNG exports respectively.

Browser Operation: Within each function, Playwright is used to launch a headless browser, set the HTML content from the CPT, and then save it in the desired format.

Usage Example

In the example provided in the code, a Bayesian network is created and its CPT for node B is exported as both a PDF and a PNG file named test.pdf and test.png, respectively. This could easily be adapted to any other nodes or formats as required.

Conclusion

Transitioning from a Jupyter Notebook environment to a .py file can indeed introduce some complications in visualizing data, particularly with Conditional Probability Tables in PyAgrum. However, by leveraging the Playwright library and following the steps provided in this guide, you can seamlessly export your CPTs to PDF and PNG formats. This not only allows for better documentation of your work but also enhances your ability to share insights gained from your Bayesian network analyses.

Now, you can confidently tackle your Bayesian network projects outside of Jupyter Notebook without compromising on the visual output!