cmasher:fusion#

The fusion colormap is a visual representation of two particles fusing together.

collection	category	license	authors	source
cmasher	Diverging	BSD-3-Clause	Ellert van der Velden	https://github.com/1313e/CMasher

cmapmatplotlibplotlynapariCSSMore...

from cmap import Colormap

cm = Colormap("cmasher:fusion")  # case insensitive

import matplotlib.pyplot as plt
from cmap import Colormap

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

import plotly.express as px
from cmap import Colormap

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

import napari
from cmap import Colormap

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

background: #270412;
background: linear-gradient(90deg, #270412 0%, #3F0724 3.22581%, #580630 6.45161%, #710533 9.67742%, #861230 12.9032%, #99232B 16.129%, #AA3625 19.3548%, #B84A21 22.5806%, #C36021 25.8065%, #CA762B 29.0323%, #CE8E41 32.2581%, #D1A560 35.4839%, #D5BA83 38.7097%, #DCCFA8 41.9355%, #E7E2CD 45.1613%, #F6F5F0 48.3871%, #F0F7F7 51.6129%, #D0E8EA 54.8387%, #AFD9E1 58.0645%, #8DCBDC 61.2903%, #6CBCDC 64.5161%, #53ABDD 67.7419%, #4798DE 70.9677%, #4784DD 74.1935%, #4D6ED9 77.4194%, #5456D4 80.6452%, #5A3CCA 83.871%, #5C1FB8 87.0968%, #550B96 90.3226%, #42116F 93.5484%, #2D104D 96.7742%, #180A32 100%);

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("cmasher:fusion").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("cmasher:fusion").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("cmasher:fusion").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("cmasher:fusion").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

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

Perceptual lightness#

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

cmasher:fusion#

Perceptual lightness#

RGB components#

Hue & saturation#