colorspace 0.4.4

A Python toolbox for manipulating and assessing colors and palettes

A Python toolbox for manipulating and assessing colors and palettes

The package provides a Python 3 version of the R colorspace package comprising:

• Color spaces: Conversions and manipulations of RGB, HSV, CIEXYZ, CIELAB, CIELUV, HCL etc.
• HCL-based palettes: Qualitative, sequential, and diverging color maps constructed using the HCL (hue-chroma-luminance) color model. These can closely approximate palettes from ColorBrewer.org, CARTO, viridis, or Crameri's scientific color maps.
• matplotlib color maps: Integration with matplotlib for use in standard plotting functions.
• Palette visualization: Plotting palettes in color swatches, spectrums of HCL and/or RGB trajectories, and illustrations of typical data visualizations.
• Interactive palette chooser: App for exploring, modifying, and picking color palettes interactively.
• Color vision deficiency: Emulation of different kinds of color blindness.
• Utilities: Various color manipulations including tools to desaturate, lighten, darken, adjust the transparency, or compute the contrast ratio.

Development and Deployment

For more details about development and deployment, please have a look at GITHUBACTIONS.md.

Links

• PyPI: https://pypi.org/project/colorspace/
• GitHub: https://github.com/retostauffer/python-colorspace/
• Documentation: https://retostauffer.github.io/python-colorspace/
• Bug reports: https://github.com/retostauffer/python-colorspace/issues
  Currently, the package is in advanced beta status. Bug reports and suggestions are welcome and very much appreciated!

Contributors

• Reto Stauffer (principal author & maintainer), Universität Innsbruck, Austria
• Achim Zeileis, Universität Innsbruck, Austria

Furthermore, the Python package implements the functionality from the R package that is co-written with Ross Ihaka, Paul Murrell, Kurt Hornik, Jason C. Fisher, Claus O. Wilke, Claire D. McWhite.