This workshop provides an introduction to data visualization in Python. The training focuses on three plotting packages: Matplotlib, Seaborn, and Plotly. Examples include simple static 1D plots, 2D contour maps, heat maps, violin plots, and box plots. The material also covers interactive plots.
To get started, click on python_data_vis.ipynb above and then click on the "Open in Colab" button. If you cannot use Colab then try jupyterlite.
If you encounter any difficulties with this material then please send an email to [email protected] or attend a help session.
The workshop materials were created by Michal Grzadkowski and Brian Arnold with contributions by Jake Snell, Carolina Roe-Raymond, and members of Princeton Research Computing.