Helpful Resources

Visual Display of Data

Colors

• Info about color schemes — Programming Design System
• RGB Color Codes Chart — RapidTables
• Hue-Chroma-Luminance Color Picker

Color Palettes

• Finding the Right Color Palettes for Data Visualizations — Samantha Zhang
• Creating Colorblind-Friendly Figures — Brian Connolley
• GGPlot Colors Best Tricks You Will Love — Data Novia
• Color Schemes and Templates — Paul Tol
• Color Brewer — Based on the work from Dr. Cynthia Brewer @ PSU

Plotting Good Practices -Python & Jupyter

The following examples specify how to produce quality plots using Matplotlib:

• Set The Color Of A Matplotlib Plot - Chris Albon
• Matplotlib Tips and Demos - Justin Winokur

Stylesheets

To ensure consistency in customized plots its beneficial to create a “style sheet”. I have found this to be very helpful for maintaining control over control over distinct projects.

• Science Plots - John Garrett

Python/Jupyter Specifics

• SciPy 1.0: fundamental algorithms for scientific computing in Python - Pauli Virtanen et al., 2020, Nature.
• Curated list of projects, libraries - Markus Schanta
• Named matplotlib Colors — matplotlib documentation
• matplotlib Marker reference — matplotlib documentation