Description
Currently, the color palette for plots could be better tuned for harmonious visual contrast. To achieve a more visually balanced and accessible appearance, the palette should be trimmed and remapped so that contrast values are more harmonic and pleasant, similar to the caligo VSCode theme. This will help improve how data is visually differentiated in anyplot outputs without overwhelming or clashing color combinations.
Applications
- Enhancing visual appeal and clarity of all plots in the library
- Making scientific and presentation-ready plots more accessible
- Improving user experience for those with color sensitivity or visual impairments
Data
- All plot types using color palettes, especially those for categorical or continuous color variables
- No specific data structure required, but testing should be performed on a range of plot types and data distributions
Notes
Description
Currently, the color palette for plots could be better tuned for harmonious visual contrast. To achieve a more visually balanced and accessible appearance, the palette should be trimmed and remapped so that contrast values are more harmonic and pleasant, similar to the caligo VSCode theme. This will help improve how data is visually differentiated in anyplot outputs without overwhelming or clashing color combinations.
Applications
Data
Notes