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okabeito:okabeito#

Aliases: matplotlib:okabe_ito, okabe_ito

Qualitative color palette for color-vision deficiencies, developed by Kei Ito and Masataka Okabe. This palette was also mentioned in Bang Wong's perspective in Nature Methods (2011).

collection category license authors source
okabeito Qualitative UNKNOWN Masataka Okabe, Kei Ito https://jfly.uni-koeln.de/color/ 
from cmap import Colormap

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

import matplotlib.pyplot as plt
from cmap import Colormap

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

import plotly.express as px
from cmap import Colormap

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

import napari
from cmap import Colormap

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

background: #000000;
background: linear-gradient(90deg, #000000 12.5%, #E69F00 12.5%, #E69F00 25%, #56B4E9 25%, #56B4E9 37.5%, #009E73 37.5%, #009E73 50%, #F0E442 50%, #F0E442 62.5%, #0072B2 62.5%, #0072B2 75%, #D55E00 75%, #D55E00 87.5%, #CC79A7 87.5%);

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

import pyqtgraph as pg
from cmap import Colormap

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

See also usage with external libraries.

okabeito:okabeitookabeito:okabeito colormap
okabeito:okabeitookabeito:okabeito colormap

Perceptual lightness#

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

RGB components#

Hue & saturation#