Metadata-Version: 2.1
Name: cmocean
Version: 2.0
Summary: Colormaps for Oceanography
Home-page: https://github.com/matplotlib/cmocean
Author: Kristen Thyng
Author-email: kthyng@gmail.com
License: UNKNOWN
Download-URL: https://github.com/matplotlib/cmocean/tarball/2.0
Description: cmocean
        =======
        
        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 [Antarctic 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`.
        
Keywords: colormaps,oceanography,plotting,visualization
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Description-Content-Type: text/markdown
Provides-Extra: plots
