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matlab:prism#

collection category license authors source
matlab Miscellaneous UNKNOWN `` 
from cmap import Colormap

cm = Colormap("matlab:prism")  # case insensitive

import matplotlib.pyplot as plt
from cmap import Colormap

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

import plotly.express as px
from cmap import Colormap

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

import napari
from cmap import Colormap

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

background: #FF0000;
background: linear-gradient(90deg, #FF0000 0%, #D8FF00 3.22581%, #001AF9 6.45161%, #FF0000 9.67742%, #CBFF00 12.9032%, #000DFF 16.129%, #FF0000 19.3548%, #BDFF00 22.5806%, #0001FF 25.8065%, #FF0000 29.0323%, #B0FF00 32.2581%, #0500FF 35.4839%, #FF0000 38.7097%, #A2FF00 41.9355%, #0C00FF 45.1613%, #FF0400 48.3871%, #95FF00 51.6129%, #1400FF 54.8387%, #FF1100 58.0645%, #87FF00 61.2903%, #1D00FF 64.5161%, #FF1E00 67.7419%, #7AFF00 70.9677%, #2600FF 74.1935%, #FF2B00 77.4194%, #6DFF00 80.6452%, #3000FF 83.871%, #FF3800 87.0968%, #60FF00 90.3226%, #3B00FF 93.5484%, #FF4600 96.7742%, #54FF00 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("matlab:prism").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("matlab:prism").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("matlab:prism").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("matlab:prism").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

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

See also usage with external libraries.

matlab:prismmatlab:prism colormap
matlab:prismmatlab:prism colormap

Perceptual lightness#

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

RGB components#

Hue & saturation#