tableau:tab20#

Aliases: seaborn:tab20

Tableau's classic "Tableau 20" palette: light and dark pairs of the Tableau 10 hues. Also d3's category20 and matplotlib's tab20.

collection	category	license	authors	source
tableau	Qualitative	UNKNOWN	Maureen Stone	https://public.tableau.com/app/profile/chris.gerrard/viz/TableauColors/ColorPaletteswithRGBValues

cmapmatplotlibplotlynapariCSSMore...

from cmap import Colormap

cm = Colormap("tableau:tab20")  # case insensitive

import matplotlib.pyplot as plt
from cmap import Colormap

plt.imshow(data, cmap=Colormap("tableau:tab20").to_mpl())

import plotly.express as px
from cmap import Colormap

px.imshow(data, color_continuous_scale=Colormap("tableau:tab20").to_plotly())

import napari
from cmap import Colormap

napari.imshow(data, colormap=Colormap("tableau:tab20").to_napari())
napari.run()

background: #1F77B4;
background: linear-gradient(90deg, #1F77B4 5%, #AEC7E8 5%, #AEC7E8 10%, #FF7F0E 10%, #FF7F0E 15%, #FFBB78 15%, #FFBB78 20%, #2CA02C 20%, #2CA02C 25%, #98DF8A 25%, #98DF8A 30%, #D62728 30%, #D62728 35%, #FF9896 35%, #FF9896 40%, #9467BD 40%, #9467BD 45%, #C5B0D5 45%, #C5B0D5 50%, #8C564B 50%, #8C564B 55%, #C49C94 55%, #C49C94 60%, #E377C2 60%, #E377C2 65%, #F7B6D2 65%, #F7B6D2 70%, #7F7F7F 70%, #7F7F7F 75%, #C7C7C7 75%, #C7C7C7 80%, #BCBD22 80%, #BCBD22 85%, #DBDB8D 85%, #DBDB8D 90%, #17BECF 90%, #17BECF 95%, #9EDAE5 95%);

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("tableau:tab20").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("tableau:tab20").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("tableau:tab20").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("tableau:tab20").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

view = pg.image(data)
view.setColorMap(Colormap("tableau:tab20").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("tableau:tab20").to_gee()
)

Perceptual lightness#

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

tableau:tab20#

Perceptual lightness#

RGB components#

Hue & saturation#