Colormaps for Oceanography
Project description
Documentation available: [http://matplotlib.org/cmocean/](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](http://tos.org/oceanography/assets/docs/29-3_thyng.pdf)
Besides Python, the cmocean colormaps are also available:
For [MATLAB](http://www.mathworks.com/matlabcentral/fileexchange/57773-cmocean-perceptually-uniform-colormaps) by [Chad Greene](http://www.chadagreene.com/)
For R: [Oce](http://dankelley.github.io/oce/) oceanographic analysis package by [Dan Kelley](http://www.dal.ca/faculty/science/oceanography/people/faculty/daniel-e-kelley.html) and [Clark Richards](http://clarkrichards.org/)
For [Ocean Data Viewer](https://github.com/kthyng/cmocean-odv)
For Generic Mapping Tools (GMT) at [cpt-city](http://soliton.vm.bytemark.co.uk/pub/cpt-city/cmocean/index.html) and on [github](https://github.com/kthyng/cmocean-gmt)
For [Paraview](https://github.com/kthyng/cmocean-paraview) inspired by [Phillip Wolfram](https://github.com/pwolfram)
In [Plotly](https://plot.ly/python/cmocean-colorscales/)
Chad Greene’s [Antartic Mapping Tools](http://www.mathworks.com/matlabcentral/fileexchange/47638-antarctic-mapping-tools) in Matlab uses cmocean
For [Tableau](https://www.tableau.com) as a preferences file on [github](https://github.com/shaunwbell/cmocean_tableau)
For [ImageJ](https://imagej.nih.gov/ij/) as [LUTs](https://github.com/mikeperrins/cmocean-LUT-ImageJ)
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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