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tol:rainbow_WhBr#

collection category license authors source
tol Miscellaneous BSD-3-Clause Paul Tol https://personal.sron.nl/~pault/ 
from cmap import Colormap

cm = Colormap("tol:rainbow_WhBr")  # case insensitive

import matplotlib.pyplot as plt
from cmap import Colormap

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

import plotly.express as px
from cmap import Colormap

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

import napari
from cmap import Colormap

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

background: #E8ECFB;
background: linear-gradient(90deg, #E8ECFB 0%, #DCD7EE 3.22581%, #CFBEDF 6.45161%, #C0A3CE 9.67742%, #B189BE 12.9032%, #A371B0 16.129%, #955AA2 19.3548%, #7F4D9A 22.5806%, #6753A2 25.8065%, #5A62B2 29.0323%, #5073C0 32.2581%, #4D85C6 35.4839%, #4E93BE 38.7097%, #539DB4 41.9355%, #59A4AA 45.1613%, #60AB9E 48.3871%, #69B18F 51.6129%, #79B77B 54.8387%, #90BC65 58.0645%, #ABBE51 61.2903%, #C4BA46 64.5161%, #D5B13F 67.7419%, #E0A43B 70.9677%, #E59437 74.1935%, #E68233 77.4194%, #E56C2F 80.6452%, #E1512A 83.871%, #DB2C24 87.0968%, #BF221F 90.3226%, #9A211B 93.5484%, #741E17 96.7742%, #521A13 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("tol:rainbow_WhBr").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("tol:rainbow_WhBr").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("tol:rainbow_WhBr").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("tol:rainbow_WhBr").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

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

See also usage with external libraries.

tol:rainbow_WhBrtol:rainbow_WhBr colormap
tol:rainbow_WhBrtol:rainbow_WhBr colormap

Perceptual lightness#

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

RGB components#

Hue & saturation#