contrib:cerrado#

The cerrado colormap is a sequential colormap with earthy tones, created via color interpolation in the Oklab space.

collection	category	license	authors	source
contrib	Sequential	CC0	Antonio Camargo	https://github.com/pyapp-kit/cmap

cmapmatplotlibplotlynapariCSSMore...

from cmap import Colormap

cm = Colormap("contrib:cerrado")  # case insensitive

import matplotlib.pyplot as plt
from cmap import Colormap

plt.imshow(data, cmap=Colormap("contrib:cerrado").to_mpl())

import plotly.express as px
from cmap import Colormap

px.imshow(data, color_continuous_scale=Colormap("contrib:cerrado").to_plotly())

import napari
from cmap import Colormap

napari.imshow(data, colormap=Colormap("contrib:cerrado").to_napari())
napari.run()

background: #6E2504;
background: linear-gradient(90deg, #6E2504 0%, #762408 3.22581%, #7E230D 6.45161%, #872112 9.67742%, #8F1F16 12.9032%, #971D1A 16.129%, #9F1B1E 19.3548%, #A71922 22.5806%, #AF1827 25.8065%, #B7172B 29.0323%, #BE182F 32.2581%, #C51A34 35.4839%, #CC1D39 38.7097%, #D3223E 41.9355%, #D92943 45.1613%, #DE3048 48.3871%, #E4384E 51.6129%, #E84154 54.8387%, #EC4A5A 58.0645%, #F05460 61.2903%, #F35D67 64.5161%, #F5676E 67.7419%, #F77175 70.9677%, #F97B7C 74.1935%, #FA8583 77.4194%, #FA908B 80.6452%, #FA9A92 83.871%, #FAA49A 87.0968%, #F9AEA2 90.3226%, #F7B8AA 93.5484%, #F5C2B2 96.7742%, #F3CCBA 100%);

altairbokehvispypygfxpyqtgraphEarth Engine

import altair as alt
from cmap import Colormap

# df: a DataFrame with columns x, y and value
alt.Chart(df).mark_rect().encode(
    x="x:O",
    y="y:O",
    color=alt.Color(
        "value:Q", scale=alt.Scale(range=Colormap("contrib:cerrado").to_altair())
    ),
)

from bokeh.plotting import figure, show
from cmap import Colormap

p = figure()
p.image(
    image=[data], x=0, y=0, dw=1, dh=1,
    color_mapper=Colormap("contrib:cerrado").to_bokeh(),
)
show(p)

from vispy import app, scene
from cmap import Colormap

canvas = scene.SceneCanvas(show=True)
view = canvas.central_widget.add_view()
scene.visuals.Image(data, cmap=Colormap("contrib:cerrado").to_vispy(), parent=view.scene)
view.camera = scene.PanZoomCamera(aspect=1)
view.camera.set_range()
app.run()

import pygfx as gfx
from cmap import Colormap

image = gfx.Image(
    gfx.Geometry(grid=gfx.Texture(data, dim=2)),
    gfx.ImageBasicMaterial(
        clim=(data.min(), data.max()), map=Colormap("contrib:cerrado").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

view = pg.image(data)
view.setColorMap(Colormap("contrib:cerrado").to_pyqtgraph())
pg.exec()

import ee
from cmap import Colormap

ee.Initialize(project="my-project")  # your Google Cloud project
elevation = ee.Image("CGIAR/SRTM90_V4")
image = elevation.visualize(
    min=0, max=3000, palette=Colormap("contrib:cerrado").to_gee()
)

Perceptual lightness#

Lightness (J′) measured in CAM02 Uniform Color Space (CAM02-UCS)

contrib:cerrado#

Perceptual lightness#

RGB components#

Hue & saturation#