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Reproducible Figures in Python

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Training/Workshop Programming Languages Research & Data Analysis Undergraduate Research

Thu, Sep 17, 2026

12 PM – 12:45 PM EDT (GMT-4)

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Details

Learn how to create polished, consistently formatted, and reproducible figures in Python using mplstyles with matplotlib. Are you tired of constantly tweaking individual graphs to make them look consistent or well formatted? This short workshop is a quick-start guide to building a reusable workflow for applying custom styles to matplotlib figures. Participants will leave with a starter pack of a reusable .mplstyle file, examples, and reference materials that they can adapt for their own projects.

Session format: Presentation, demo and hands-on

Knowledge prerequisites: Basic familiarity with Python and matplotlib is recommended.

Hardware/software prerequisites: Participants should have Python and matplotlib installed on their laptops.

Target audience: Students, researchers, faculty, staff

Speakers

Carolina Roe-Raymond's profile photo

Carolina Roe-Raymond

Visualization Analyst

Princeton University

Carolina Roe-Raymond is a Visualization Analyst in Research Computing at Princeton University. As a Visualization Analyst, Carolina helps Princeton faculty, staff, and students explore and communicate their data through graphs, charts, and other visuals. Prior to her current position, Carolina created static and interactive data visualization applications for academic research groups. Carolina has a Ph.D. in Resource Ecology and Management, where she used visualizations created in R and GIS programs to advance research in urban bee ecology.

 

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Carolina S. Roe-Raymond
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