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tol:rainbow_PuRd#

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_PuRd")  # case insensitive

import matplotlib.pyplot as plt
from cmap import Colormap

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

import plotly.express as px
from cmap import Colormap

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

import napari
from cmap import Colormap

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

background: #6F4C9B;
background: linear-gradient(90deg, #6F4C9B 0%, #6059A9 4.7619%, #5568B8 9.52381%, #4E79C5 14.2857%, #4D8AC6 19.0476%, #4E96BC 23.8095%, #549EB3 28.5714%, #59A5A9 33.3333%, #60AB9E 38.0952%, #69B190 42.8571%, #77B77D 47.619%, #8CBC68 52.381%, #A6BE54 57.1429%, #BEBC48 61.9048%, #D1B541 66.6667%, #DDAA3C 71.4286%, #E49C39 76.1905%, #E78C35 80.9524%, #E67932 85.7143%, #E4632D 90.4762%, #DF4828 95.2381%, #DA2222 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_PuRd").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_PuRd").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_PuRd").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_PuRd").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

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

See also usage with external libraries.

tol:rainbow_PuRdtol:rainbow_PuRd colormap
tol:rainbow_PuRdtol:rainbow_PuRd colormap

Perceptual lightness#

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

RGB components#

Hue & saturation#