crameri:batlow#

collection	category	license	authors	source
crameri	Sequential	MIT	Fabio Crameri	https://zenodo.org/record/5501399

cmapmatplotlibplotlynapariCSSMore...

from cmap import Colormap

cm = Colormap("crameri:batlow")  # case insensitive

import matplotlib.pyplot as plt
from cmap import Colormap

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

import plotly.express as px
from cmap import Colormap

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

import napari
from cmap import Colormap

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

background: #011959;
background: linear-gradient(90deg, #011959 0%, #08265B 3.22581%, #0D315D 6.45161%, #0F3B5F 9.67742%, #114460 12.9032%, #144C62 16.129%, #175362 19.3548%, #1C5B62 22.5806%, #246160 25.8065%, #2D675D 29.0323%, #386C58 32.2581%, #457051 35.4839%, #51744A 38.7097%, #5E7843 41.9355%, #6C7C3C 45.1613%, #7A8035 48.3871%, #89842F 51.6129%, #99882C 54.8387%, #A98C2C 58.0645%, #B98F32 61.2903%, #C9923C 64.5161%, #D79448 67.7419%, #E49756 70.9677%, #EF9C67 74.1935%, #F7A17A 77.4194%, #FBA78D 80.6452%, #FDADA0 83.871%, #FDB3B2 87.0968%, #FDB9C3 90.3226%, #FCBFD5 93.5484%, #FBC6E7 96.7742%, #FACCFA 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("crameri:batlow").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("crameri:batlow").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("crameri:batlow").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("crameri:batlow").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

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

Perceptual lightness#

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

crameri:batlow#

Perceptual lightness#

RGB components#

Hue & saturation#