Skip to content

cmasher:neutral#

The neutral colormap is a neutral, colorless colormap.

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

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

import matplotlib.pyplot as plt
from cmap import Colormap

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

import plotly.express as px
from cmap import Colormap

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

import napari
from cmap import Colormap

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

background: #000000;
background: linear-gradient(90deg, #000000 0%, #030303 3.22581%, #0A0909 6.45161%, #121212 9.67742%, #1A1A1A 12.9032%, #222222 16.129%, #2A2A29 19.3548%, #313131 22.5806%, #393838 25.8065%, #404040 29.0323%, #484747 32.2581%, #4F4F4F 35.4839%, #575656 38.7097%, #5E5E5D 41.9355%, #666565 45.1613%, #6D6D6D 48.3871%, #757574 51.6129%, #7D7C7C 54.8387%, #858484 58.0645%, #8D8D8D 61.2903%, #959595 64.5161%, #9E9D9D 67.7419%, #A6A6A6 70.9677%, #AFAFAF 74.1935%, #B8B8B8 77.4194%, #C2C1C1 80.6452%, #CBCBCB 83.871%, #D5D5D5 87.0968%, #DFDFDF 90.3226%, #E9E9E9 93.5484%, #F4F4F4 96.7742%, #FFFFFF 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:neutral").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:neutral").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:neutral").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:neutral").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

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

See also usage with external libraries.

cmasher:neutralcmasher:neutral colormap
cmasher:neutralcmasher:neutral colormap

Perceptual lightness#

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

RGB components#

Hue & saturation#