colorcet
A Python library providing a collection of perceptually uniform colormaps for scientific plotting.
What is colorcet?
Colorcet is a Python library that provides a collection of perceptually uniform colormaps for plotting scientific data. It solves the problem of misleading visual representations in data visualization by ensuring colors change uniformly in perceptual space, making plots more accurate and interpretable. The colormaps are based on research from the Center for Exploration Targeting and are designed for use with tools like Matplotlib, Bokeh, and HoloViews.
Data scientists, researchers, and engineers who create visualizations for scientific data in fields like geophysics, astronomy, biology, and medical imaging, using Python plotting libraries.
Developers choose Colorcet because it offers rigorously tested, perceptually accurate colormaps that prevent common visualization pitfalls, ensuring data integrity. Its seamless integration with major Python plotting tools and foundation in color science research make it a trusted choice over default or ad-hoc colormaps.
Overview
A set of useful perceptually uniform colormaps for plotting scientific data
Use Cases
Best For
- Visualizing geophysical data like seismic surveys or elevation maps
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