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tableau:tab10_new#

Aliases: seaborn:tab10_new

The "Tableau 10" palette as redesigned for Tableau 10 (2016) by Maureen Stone and Cristy Miller. Nearly identical to d3's schemeTableau10.

collection category license authors source
tableau Qualitative UNKNOWN Maureen Stone, Cristy Miller https://public.tableau.com/app/profile/chris.gerrard/viz/TableauColors/ColorPaletteswithRGBValues 
from cmap import Colormap

cm = Colormap("tableau:tab10_new")  # case insensitive

import matplotlib.pyplot as plt
from cmap import Colormap

plt.imshow(data, cmap=Colormap("tableau:tab10_new").to_mpl())

import plotly.express as px
from cmap import Colormap

px.imshow(data, color_continuous_scale=Colormap("tableau:tab10_new").to_plotly())

import napari
from cmap import Colormap

napari.imshow(data, colormap=Colormap("tableau:tab10_new").to_napari())
napari.run()

background: #4E79A7;
background: linear-gradient(90deg, #4E79A7 10%, #F28E2B 10%, #F28E2B 20%, #E15759 20%, #E15759 30%, #76B7B2 30%, #76B7B2 40%, #59A14E 40%, #59A14E 50%, #EDC949 50%, #EDC949 60%, #AF7AA1 60%, #AF7AA1 70%, #FF9DA7 70%, #FF9DA7 80%, #9C755F 80%, #9C755F 90%, #BAB0AB 90%);

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:tab10_new").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:tab10_new").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:tab10_new").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:tab10_new").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

view = pg.image(data)
view.setColorMap(Colormap("tableau:tab10_new").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:tab10_new").to_gee()
)

See also usage with external libraries.

tableau:tab10_newtableau:tab10_new colormap
tableau:tab10_newtableau:tab10_new colormap

Perceptual lightness#

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

RGB components#

Hue & saturation#