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cubehelix:cubehelix#

collection category license authors source
cubehelix Sequential BSD-2-Clause Dave Green, James Davenport https://github.com/jradavenport/cubehelix 
from cmap import Colormap

cm = Colormap("cubehelix:cubehelix")  # case insensitive

import matplotlib.pyplot as plt
from cmap import Colormap

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

import plotly.express as px
from cmap import Colormap

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

import napari
from cmap import Colormap

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

background: #000000;
background: linear-gradient(90deg, #000000 0%, #0D050E 3.22581%, #150B1E 6.45161%, #1A142E 9.67742%, #1B1F3D 12.9032%, #192C47 16.129%, #163A4D 19.3548%, #15484E 22.5806%, #16564B 25.8065%, #1C6344 29.0323%, #276D3C 32.2581%, #367434 35.4839%, #4B7830 38.7097%, #627A2F 41.9355%, #7C7A35 45.1613%, #947A41 48.3871%, #AB7953 51.6129%, #BD7969 54.8387%, #CA7C83 58.0645%, #D2819D 61.2903%, #D589B7 64.5161%, #D393CD 67.7419%, #CEA1DE 70.9677%, #C8AFEB 74.1935%, #C3BEF1 77.4194%, #C1CDF3 80.6452%, #C3DAF2 83.871%, #C9E5F0 87.0968%, #D3EEEF 90.3226%, #E1F5F0 93.5484%, #F0FBF5 96.7742%, #FFFFFF 100%);

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("cubehelix:cubehelix").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("cubehelix:cubehelix").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("cubehelix:cubehelix").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("cubehelix:cubehelix").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

view = pg.image(data)
view.setColorMap(Colormap("cubehelix:cubehelix").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("cubehelix:cubehelix").to_gee()
)

See also usage with external libraries.

cubehelix:cubehelixcubehelix:cubehelix colormap
cubehelix:cubehelixcubehelix:cubehelix colormap

Perceptual lightness#

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

RGB components#

Hue & saturation#