Matplotlib Color Guide: Colormaps, Custom Palettes, and Accessibility
Master colors in Matplotlib for Python data visualization. Covers colormaps, custom palettes, hex colors, and colorblind-safe chart design.
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Tags: color, data-visualization, python
Matplotlib Color Guide: Colormaps, Custom Palettes, and Accessibility Matplotlib ships with over 160 colormaps and exposes a flexible API for creating custom ones. The problem is that most defaults — especially older ones like jet, hot, and rainbow — are perceptually flawed. Choosing the right colormap is as important as choosing the right chart type. This guide covers the full matplotlib color system: how colormaps work, which to use (and avoid) for each data type, how to create custom palettes, how seaborn extends this, and how to validate accessibility. The Viridis Family (Use These by Default) Matplotlib 1.5+ introduced four perceptually uniform, colorblind-safe sequential colormaps as defaults. Use these for all continuous sequential data. viridis Yellow → green → blue-purple. The…
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