8000 GitHub - 34j/colormap-complex: Complex / 2d multivariate bivariate colormap / Domain coloring for Matplotlib, Plotly etc. (pure-numpy)
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content

Complex / 2d multivariate bivariate colormap / Domain coloring for Matplotlib, Plotly etc. (pure-numpy)

License

Notifications You must be signed in to change notification settings

34j/colormap-complex

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

25 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Colormap Complex

CI Status Documentation Status Test coverage percentage

uv Ruff pre-commit

PyPI Version Supported Python versions License


Documentation: https://colormap-complex.readthedocs.io

Source Code: https://github.com/34j/colormap-complex


Complex / 2d colormap

Installation

Install this via pip (or your favourite package manager):

pip install colormap-complex

Usage

from colormap_complex import colormap
import numpy as np

lin = np.linspace(-1, 1, 100)
x, y = np.meshgrid(lin, lin)
z = x + 1j * y
c = colormap(type="oklab")(z.real, z.imag, scale=True)
plt.imshow(c, extent=(-1, 1, -1, 1), origin='lower')

All colormaps

colormaps

Examples

z^(2/3+i) z^(2/3+i) z^(2/3+i)

Description

  • "bremm", "cubediagonal", "schumann", "steiger", "teulingfig2", "ziegler" colormaps are collected from spinthil/pycolormap-2d which is based on:

    M. Steiger, J. Bernard, S. Thum, S. Mittelstädt, M. Hutter, D. A. Keim, and J. Kohlhammer, “Explorative Analysis of 2D Color Maps,” in International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision, 2015, vol. 23, pp. 151–160.

  • Other colormaps are built on top of colour-science/colour and created by the author.
  • "oklab", "prolab" are perceptually uniform (lightness) colormaps.
  • "oklch", "prolch" are perceptually uniform (chroma) colormaps. X axis corresponds to Hue and Y axis to Lightness.

Alternatives

Contributors ✨

Thanks goes to these wonderful people (emoji key):

This project follows the all-contributors specification. Contributions of any kind welcome!

Credits

Copier

This package was created with Copier and the browniebroke/pypackage-template project template.

0