Roseus colormap family

A perceptually uniform colormaps with full range of lightness.

Preview

Installation

pip install roseus

If installation fails, upgrade pip with python -m pip install --upgrade pip and try again.

Usage

To use with matplotlib, import roseus.mpl.

import matplotlib.pyplot as plt
import roseus.mpl as rs

plt.imshow(x, cmap=rs.arcus)
# or
plt.imshow(x, cmap='rs.arcus')

To prevent confusion in namespace, prefix rs. is added. (ex. rs.arcus, rs.b, rs.gr, ...)

Motivation

All colormaps of the Roseus family has (almost) full range of lightness. They have excellent contrast which visualize data more clearly.

Roseus was developed for Audacity spectrogram. More perceptually uniform colormaps are added and aim to be used in a wider range of fields.

Further readings about perceptually uniform colormaps:
https://bids.github.io/colormap/
https://cran.r-project.org/web/packages/viridis/vignettes/intro-to-viridis.html

Look into the colormaps

To plot measures of a colormap in Roseus family,

pip install "roseus[generate]"

install additional dependency. Then,

from roseus.util import plot_measures

plot_measures('roseus')

Note: viscm used in measurements has been modified to target CAM16-UCS instead of CAM02-UCS.

All colormaps has symmetric and smooth chroma, hue transition.

Changelog

v2.0

• Added more colormaps (r, b, cyanus, rbg, arcus, gr, rg, lavendula)
• Packed into Python package

v1.0

• The colormap is named 'Roseus'. (inspiration from Viridis)
• It was perceptually smooth, but wasn't perceptually uniform. Now it is.
• Roseus now targets CAM16-UCS color space instead of the obsolute CAM02-UCS.

v0.1

• First release for Audacity spectrogram.

OSS libraries used

viscm (MIT)

A tool for analyzing colormaps and creating new colormaps.
https://github.com/matplotlib/viscm

viscm is not used for generating the Roseus family. It's modified to target CAM16-UCS and included for analysis.