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Data Storytelling, Python

Introducing PyNarrative: A Python Library for Data Storytelling

An overview of the new Python library for data storytelling.

Angelica Lo Duca
DataDrivenInvestor
Published in
6 min read3 days ago

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Source: OpenAI DALL-E

Data visualization is crucial for understanding complex datasets, but visualizations alone are insufficient to make audiences understand the message in the data. Data storytelling addresses this by integrating narratives with visual elements, making insights more memorable and actionable (Lo Duca, 2025).

Python offers robust visualization tools like Matplotlib, Seaborn, and Altair, but these libraries focus on graph generation rather than structured storytelling. This is where PyNarrative comes in. PyNarrative is a Python library that simplifies data storytelling by integrating annotations, context, and next-step guidance (Lo Duca and Barsotti, 2025).

In this article, we will:

  • Introduce data storytelling and its importance.
  • Highlight the limitations of traditional visualization libraries.
  • Demonstrate PyNarrative with a practical example, including code snippets.

You’ll then learn how PyNarrative can transform raw data into structured, engaging narratives.

What is Data Storytelling?

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Written by Angelica Lo Duca

Researcher | +1M Views | I write on Data Science, Python, Tutorials, and, occasionally, Web Applications | Author of Data Storytelling with Altair and AI

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