sead-cmap 0.1.0

Perceptually uniform colormap for SEAD NCA research (青竹蜂云)

sead-cmap

Perceptually uniform colormap for SEAD NCA research.

Name: 青竹蜂云 (qing-zhu-feng-yun) — dark teal to bright gold.

Designed in CAM02-UCS with arc-length resampling. CVD-safe, grayscale-monotonic.

Install

pip install sead-cmap
# For full perceptual interpolation:
pip install sead-cmap[full]

Python / matplotlib

from sead_cmap import cmap
import matplotlib.pyplot as plt

plt.imshow(data, cmap=cmap)
# or by name:
plt.imshow(data, cmap="sead")

JavaScript / Canvas

from sead_cmap import export_js
export_js("sead-cmap.js")

Then in JS:

import { seadRGB } from './sead-cmap.js';
const [r, g, b] = seadRGB(0.5);  // value in [0, 1]

CSS

from sead_cmap import css_gradient
print(css_gradient())
# linear-gradient(to right, #0c1820, #143f45, #2a6e6e, #6f8050, #b89838, #dfca4f, #e0c850)

Brand colors

from sead_cmap import BRAND_PRIMARY, BRAND_DARK
# BRAND_PRIMARY = "#2a6e6e" (Ming Teal)
# BRAND_DARK = "#14444a"

License

MIT