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cmocean:delta_blue#

collection category license authors source
cmocean Sequential MIT Kristen M. Thyng https://github.com/matplotlib/cmocean 
from cmap import Colormap

cm = Colormap("cmocean:delta_blue")  # case insensitive

import matplotlib.pyplot as plt
from cmap import Colormap

plt.imshow(data, cmap=Colormap("cmocean:delta_blue").to_mpl())

import plotly.express as px
from cmap import Colormap

px.imshow(data, color_continuous_scale=Colormap("cmocean:delta_blue").to_plotly())

import napari
from cmap import Colormap

napari.imshow(data, colormap=Colormap("cmocean:delta_blue").to_napari())
napari.run()

background: #112040;
background: linear-gradient(90deg, #112040 0%, #16254D 3.22581%, #1B2B5A 6.45161%, #203069 9.67742%, #243578 12.9032%, #273B88 16.129%, #244196 19.3548%, #1F4A9B 22.5806%, #1C549D 25.8065%, #1B5C9E 29.0323%, #1B659F 32.2581%, #1E6DA1 35.4839%, #2175A2 38.7097%, #257DA4 41.9355%, #2A84A6 45.1613%, #308CA8 48.3871%, #3694AA 51.6129%, #3E9CAC 54.8387%, #47A3AE 58.0645%, #53AAB0 61.2903%, #61B1B1 64.5161%, #72B7B4 67.7419%, #82BDB8 70.9677%, #91C3BC 74.1935%, #A0C9C1 77.4194%, #AFCFC7 80.6452%, #BCD6CD 83.871%, #CADDD3 87.0968%, #D7E4D9 90.3226%, #E3EBDE 93.5484%, #F0F3E3 96.7742%, #FEFBE6 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("cmocean:delta_blue").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("cmocean:delta_blue").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("cmocean:delta_blue").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("cmocean:delta_blue").to_pygfx()
    ),
)
gfx.show(image)

import pyqtgraph as pg
from cmap import Colormap

view = pg.image(data)
view.setColorMap(Colormap("cmocean:delta_blue").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("cmocean:delta_blue").to_gee()
)

See also usage with external libraries.

cmocean:delta_bluecmocean:delta_blue colormap
cmocean:delta_bluecmocean:delta_blue colormap

Perceptual lightness#

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

RGB components#

Hue & saturation#