cmasher:tropical#

The tropical colormap is a visual representation of the tropical colors of beach parties and flower leis.

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

cmapmatplotlibplotlynapariCSSMore...

from cmap import Colormap

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

import matplotlib.pyplot as plt
from cmap import Colormap

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

import plotly.express as px
from cmap import Colormap

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

import napari
from cmap import Colormap

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

background: #900EA5;
background: linear-gradient(90deg, #900EA5 0%, #9A0C9D 3.22581%, #A40995 6.45161%, #AE068B 9.67742%, #B80680 12.9032%, #C10974 16.129%, #C81267 19.3548%, #CE1D59 22.5806%, #D3294C 25.8065%, #D73540 29.0323%, #D84235 32.2581%, #D94E2B 35.4839%, #D95A21 38.7097%, #D76518 41.9355%, #D5700F 45.1613%, #D17B06 48.3871%, #CD8602 51.6129%, #C79106 54.8387%, #C09C10 58.0645%, #B7A61D 61.2903%, #ADB12A 64.5161%, #A1BB39 67.7419%, #92C449 70.9677%, #82CE5A 74.1935%, #6FD66D 77.4194%, #5ADE81 80.6452%, #44E596 83.871%, #30EBAB 87.0968%, #24F0C1 90.3226%, #28F4D5 93.5484%, #35F8E9 96.7742%, #44FCFC 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:tropical").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:tropical").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:tropical").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:tropical").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

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

Perceptual lightness#

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

cmasher:tropical#

Perceptual lightness#

RGB components#

Hue & saturation#