Perceptually uniform colormaps with full range of lightness.
- Homepage: https://github.com/dofuuz/roseus
- PyPI: https://pypi.org/project/roseus/
pip install roseusIf installation fails, upgrade pip with python -m pip install --upgrade pip and try again.
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, ...)
For other applications, use rgb_data like from roseus.cmap.cyanus import rgb_data.
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
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.
- Added more colormaps (r, b, cyanus, rbg, arcus, gr, rg, lavendula)
- Packed into Python package
- 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.
- First release for Audacity spectrogram.
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.