colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes

Fuente: arXiv
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Autori principali: Stauffer, Reto, Zeileis, Achim
Natura: Preprint
Pubblicazione: 2024
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author Stauffer, Reto
Zeileis, Achim
author_facet Stauffer, Reto
Zeileis, Achim
contents The Python colorspace package provides a toolbox for mapping between different color spaces which can then be used to generate a wide range of perceptually-based color palettes for qualitative or quantitative (sequential or diverging) information. These palettes (as well as any other sets of colors) can be visualized, assessed, and manipulated in various ways, e.g., by color swatches, emulating the effects of color vision deficiencies, or depicting the perceptual properties. Finally, the color palettes generated by the package can be easily integrated into standard visualization workflows in Python, e.g., using matplotlib, seaborn, or plotly.
format Preprint
id arxiv_https___arxiv_org_abs_2407_19921
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes
Stauffer, Reto
Zeileis, Achim
Graphics
The Python colorspace package provides a toolbox for mapping between different color spaces which can then be used to generate a wide range of perceptually-based color palettes for qualitative or quantitative (sequential or diverging) information. These palettes (as well as any other sets of colors) can be visualized, assessed, and manipulated in various ways, e.g., by color swatches, emulating the effects of color vision deficiencies, or depicting the perceptual properties. Finally, the color palettes generated by the package can be easily integrated into standard visualization workflows in Python, e.g., using matplotlib, seaborn, or plotly.
title colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes
topic Graphics
url https://arxiv.org/abs/2407.19921