CMasher: Scientific colormaps for making accessible, informative and 'cmashing' plots

Abstract

CMasher is a Python package that provides a curated collection of scientific colormaps, showcased in the online documentation (https://cmasher.readthedocs.io). The colormaps in CMasher are all designed to be perceptually uniform sequential using the 'viscm' package; most of them are color-vision deficiency friendly; and they cover a wide range of different color combinations to accommodate for most applications. It aims to provide several alternatives to commonly used colormaps, like 'chroma' and 'rainforest' for 'jet'; 'sunburst' for 'hot'; 'neutral' for 'binary'; and 'fusion' and 'redshift' for 'coolwarm'. With CMasher, I hope to help others with picking the correct colormap for the job.

5 pages, 2 figures, published in JOSS

References in corpus (3)

• Optimizing colormaps with consideration for color vision deficiency to enable accurate interpretation of scientific data
• Fruitbat: A Python Package for Estimating Redshifts of Fast Radio Bursts
• Model dispersion with PRISM; an alternative to MCMC for rapid analysis of models

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