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Besides Python, the cmocean colormaps are also available for:
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* For [MATLAB](http://www.mathworks.com/matlabcentral/fileexchange/57773-cmocean-perceptually-uniform-colormaps) by [Chad Greene](http://www.chadagreene.com/)
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* 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/)
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* For [Ocean Data Viewer](https://github.com/kthyng/cmocean-odv)
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* 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)
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* For [Paraview](https://github.com/kthyng/cmocean-paraview) inspired by [Phillip Wolfram](https://github.com/pwolfram)
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* In [Plotly](https://plot.ly/python/cmocean-colorscales/)
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* Chad Greene's [Antartic Mapping Tools](http://www.mathworks.com/matlabcentral/fileexchange/47638-antarctic-mapping-tools) in Matlab uses `cmocean`
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To install:
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``pip install cmocean``
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To install with Anaconda:
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``conda install -c conda-forge cmocean``
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If you want to be able to use the `plots` submodule, you can instead install with:
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`pip install "cmocean[plots]"`
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which will also install `viscm` and `colorspacious`.
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