Welcome to PoliSciPy’s Documentation

PoliSciPy is a Python package for creating customizable electoral college maps of the United States, making it easy to visualize and analyze electoral data.

Get started now View on GitHub

PoliSciPy makes it easy to generate electoral maps and explore political data with just a few lines of code. The library is designed for fast experimentation, clear visualizations, and flexible customization, whether you’re analyzing results, presenting findings, or exploring historical trends.

PoliSciPy is especially useful for:

  • Creating customized, high-quality electoral college maps of the United States
  • Analyzing political data and tracking changes in voting patterns over time
  • Exploring historical election results and visualizing long-term trends

To get started, visit the Quickstart Guide. You can customize maps freely, browse the full documentation, and report questions or issues on the project’s GitHub repository.

Electoral College Map
Example: Figure with results from the 2024 U.S. election.

About the Project

PoliSciPy is © 2024-2025 by Ethan Olesinski.

License

PoliSciPy is distributed under an MIT license.

Contributors

Thank you to everyone who helps make PoliSciPy better! You can see the full list of contributors below or on GitHub:

We welcome contributors of all levels whether it’s fixing bugs, adding features, or improving documentation! If you are interested in helping improve PoliSciPy, visit the Contribution Guide for more information.

Code of Conduct

PoliSciPy is committed to fostering a welcoming and inclusive community.

View the Code of Conduct on the GitHub repository.