cmocean
Documentation available: http://matplotlib.org/cmocean/.
We have a paper with guidelines to colormap selection for your application and a description of the cmocean colormaps:
Thyng, K. M., Greene, C. A., Hetland, R. D., Zimmerle, H. M., & DiMarco, S. F. (2016). True colors of oceanography. Oceanography, 29(3), 10.
link: http://tos.org/oceanography/assets/docs/29-3_thyng.pdf
Besides Python, the cmocean colormaps are also available:
- For MATLAB by Chad Greene
- For R cmocean, which includes ggplot2 compatible functions. Also included in Oce: an oceanographic analysis package by Dan Kelley and Clark Richards.
- For Julia, included in Plots.jl and Makie.jl
- For Ocean Data Viewer
- For Generic Mapping Tools (GMT) at cpt-city and on github
- For Paraview inspired by Phillip Wolfram
- In Plotly
- Chad Greene's Antarctic Mapping Tools in Matlab uses
cmocean - For Tableau as a preferences file on github
- For ImageJ as LUTs
- For ncview via ncmaps.
- For SeaDAS, and should work with BEAM/SNAP as well.
To install:
pip install cmocean
To install with Anaconda:
conda install -c conda-forge cmocean
If you want to be able to use the plots submodule, you can instead install with:
pip install "cmocean[plots]"
which will also install viscm and colorspacious.
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Metadata
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Release files for cmocean 4.0.3
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| File | Size | Uploaded | Provenance | |
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| cmocean-4.0.3.tar.gz | 7.1 MB | Without provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cmocean-4.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.6 MB
Release files / cmocean-4.0.3.tar.gz
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