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cmasher:holly#

The holly colormap is a visual representation of the flower/plant with the same name, commonly associated with Christmas.

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

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

import matplotlib.pyplot as plt
from cmap import Colormap

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

import plotly.express as px
from cmap import Colormap

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

import napari
from cmap import Colormap

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

background: #141401;
background: linear-gradient(90deg, #141401 0%, #1F2404 3.22581%, #273408 6.45161%, #2E440D 9.67742%, #325412 12.9032%, #336517 16.129%, #2E7620 19.3548%, #338638 22.5806%, #4E9250 25.8065%, #689F66 29.0323%, #81AB7C 32.2581%, #99B891 35.4839%, #B1C6A8 38.7097%, #C8D4BF 41.9355%, #DFE4D8 45.1613%, #F5F5F2 48.3871%, #F8F4F4 51.6129%, #EBDFDE 54.8387%, #E1C9C8 58.0645%, #D8B4B3 61.2903%, #D0A09E 64.5161%, #C88C8B 67.7419%, #C07878 70.9677%, #B76468 74.1935%, #AE4F5B 77.4194%, #9E4056 80.6452%, #883653 83.871%, #732E4D 87.0968%, #5D2645 90.3226%, #491D3B 93.5484%, #341330 96.7742%, #1F0922 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("cmasher:holly").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:holly").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:holly").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:holly").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

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

See also usage with external libraries.

cmasher:hollycmasher:holly colormap
cmasher:hollycmasher:holly colormap

Perceptual lightness#

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

RGB components#

Hue & saturation#