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matlab:pink#

collection category license authors source
matlab Sequential UNKNOWN `` 
from cmap import Colormap

cm = Colormap("matlab:pink")  # case insensitive

import matplotlib.pyplot as plt
from cmap import Colormap

plt.imshow(data, cmap=Colormap("matlab:pink").to_mpl())

import plotly.express as px
from cmap import Colormap

px.imshow(data, color_continuous_scale=Colormap("matlab:pink").to_plotly())

import napari
from cmap import Colormap

napari.imshow(data, colormap=Colormap("matlab:pink").to_napari())
napari.run()

background: #1E0000;
background: linear-gradient(90deg, #1E0000 0%, #402525 3.22581%, #563535 6.45161%, #674141 9.67742%, #764B4B 12.9032%, #835454 16.129%, #8E5C5C 19.3548%, #996363 22.5806%, #A46A6A 25.8065%, #AD7070 29.0323%, #B67676 32.2581%, #BF7C7C 35.4839%, #C48682 38.7097%, #C89287 41.9355%, #CB9D8C 45.1613%, #CFA791 48.3871%, #D2B096 51.6129%, #D5B99A 54.8387%, #D8C19F 58.0645%, #DCCAA3 61.2903%, #DFD2A7 64.5161%, #E2D9AB 67.7419%, #E5E0AF 70.9677%, #E8E8B3 74.1935%, #EBEBBE 77.4194%, #EEEEC8 80.6452%, #F1F1D2 83.871%, #F4F4DC 87.0968%, #F7F7E5 90.3226%, #F9F9EE 93.5484%, #FCFCF7 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("matlab:pink").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("matlab:pink").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("matlab:pink").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("matlab:pink").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

view = pg.image(data)
view.setColorMap(Colormap("matlab:pink").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("matlab:pink").to_gee()
)

See also usage with external libraries.

matlab:pinkmatlab:pink colormap
matlab:pinkmatlab:pink colormap

Perceptual lightness#

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

RGB components#

Hue & saturation#