cmocean
=======
[](https://github.com/matplotlib/cmocean/actions/workflows/test.yaml)
[](https://codecov.io/gh/matplotlib/cmocean)
[](https://opensource.org/licenses/MIT)
[](https://anaconda.org/conda-forge/cmocean)
[](https://pypi.org/project/cmocean)
<!-- [](https://cmocean.readthedocs.io/en/latest/?badge=latest) -->
<!-- [](https://github.com/matplotlib/cmocean/actions/workflows/linting.yaml) -->
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 cmocean](https://github.com/aitap/cmocean), which includes [ggplot2](ggplot2.tidyverse.org/) compatible functions. Also included in [Oce](http://dankelley.github.io/oce/): an 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 Julia, included in [Plots.jl](https://github.com/JuliaPlots/Plots.jl) and [Makie.jl](https://github.com/JuliaPlots/Makie.jl)
* 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)
* For [ncview](http://meteora.ucsd.edu/~pierce/ncview_home_page.html) via [ncmaps](https://github.com/TomLav/ncmaps).
* For [SeaDAS](https://github.com/gertvd-stanford/cmocean_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`.
Raw data
{
"_id": null,
"home_page": "https://github.com/matplotlib/cmocean",
"name": "cmocean",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "colormaps, oceanography, plotting, visualization",
"author": "Kristen Thyng",
"author_email": "kthyng@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/ec/09/9fd9b9ddf25679dd1895f4ea9cf0410572a6d17ee24015076b9748df2ea3/cmocean-4.0.1.tar.gz",
"platform": null,
"description": "cmocean\n=======\n\n[](https://github.com/matplotlib/cmocean/actions/workflows/test.yaml)\n[](https://codecov.io/gh/matplotlib/cmocean)\n[](https://opensource.org/licenses/MIT)\n[](https://anaconda.org/conda-forge/cmocean)\n[](https://pypi.org/project/cmocean)\n<!-- [](https://cmocean.readthedocs.io/en/latest/?badge=latest) -->\n<!-- [](https://github.com/matplotlib/cmocean/actions/workflows/linting.yaml) -->\n\nDocumentation available: [http://matplotlib.org/cmocean/](http://matplotlib.org/cmocean/).\n\nWe have a paper with guidelines to colormap selection for your application and a description of the `cmocean` colormaps:\nThyng, K. M., Greene, C. A., Hetland, R. D., Zimmerle, H. M., & DiMarco, S. F. (2016). True colors of oceanography. Oceanography, 29(3), 10.\nlink: [http://tos.org/oceanography/assets/docs/29-3_thyng.pdf](http://tos.org/oceanography/assets/docs/29-3_thyng.pdf)\n\nBesides Python, the cmocean colormaps are also available:\n\n* For [MATLAB](http://www.mathworks.com/matlabcentral/fileexchange/57773-cmocean-perceptually-uniform-colormaps) by [Chad Greene](http://www.chadagreene.com/)\n* For [R cmocean](https://github.com/aitap/cmocean), which includes [ggplot2](ggplot2.tidyverse.org/) compatible functions. Also included in [Oce](http://dankelley.github.io/oce/): an 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/).\n* For Julia, included in [Plots.jl](https://github.com/JuliaPlots/Plots.jl) and [Makie.jl](https://github.com/JuliaPlots/Makie.jl)\n* For [Ocean Data Viewer](https://github.com/kthyng/cmocean-odv)\n* 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)\n* For [Paraview](https://github.com/kthyng/cmocean-paraview) inspired by [Phillip Wolfram](https://github.com/pwolfram)\n* In [Plotly](https://plot.ly/python/cmocean-colorscales/)\n* Chad Greene's [Antarctic Mapping Tools](http://www.mathworks.com/matlabcentral/fileexchange/47638-antarctic-mapping-tools) in Matlab uses `cmocean`\n* For [Tableau](https://www.tableau.com) as a preferences file on [github](https://github.com/shaunwbell/cmocean_tableau)\n* For [ImageJ](https://imagej.nih.gov/ij/) as [LUTs](https://github.com/mikeperrins/cmocean-LUT-ImageJ)\n* For [ncview](http://meteora.ucsd.edu/~pierce/ncview_home_page.html) via [ncmaps](https://github.com/TomLav/ncmaps).\n* For [SeaDAS](https://github.com/gertvd-stanford/cmocean_seadas), and should work with BEAM/SNAP as well.\n\n\nTo install:\n``pip install cmocean``\n\nTo install with Anaconda:\n``conda install -c conda-forge cmocean``\n\nIf you want to be able to use the `plots` submodule, you can instead install with:\n\n`pip install \"cmocean[plots]\"`\n\nwhich will also install `viscm` and `colorspacious`.\n",
"bugtrack_url": null,
"license": null,
"summary": "Colormaps for Oceanography",
"version": "4.0.1",
"project_urls": {
"Homepage": "https://github.com/matplotlib/cmocean"
},
"split_keywords": [
"colormaps",
" oceanography",
" plotting",
" visualization"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "c4dd525ad05cbb045943e294311d71fb0ce35e0226855487df6c9291352a73d1",
"md5": "fbc0f7932b947a11381c93f06a874c9b",
"sha256": "d375988e42127dfbcc8eccf40f739578503c9a4a2ef480f77557f66ae6028c37"
},
"downloads": -1,
"filename": "cmocean-4.0.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "fbc0f7932b947a11381c93f06a874c9b",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 222197,
"upload_time": "2024-04-05T21:39:17",
"upload_time_iso_8601": "2024-04-05T21:39:17.336144Z",
"url": "https://files.pythonhosted.org/packages/c4/dd/525ad05cbb045943e294311d71fb0ce35e0226855487df6c9291352a73d1/cmocean-4.0.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "ec099fd9b9ddf25679dd1895f4ea9cf0410572a6d17ee24015076b9748df2ea3",
"md5": "f22a2349bf74edbbba242c56d9b00f37",
"sha256": "e1f0d2d72ca61a2e303bf2a5ab28dff143cad8ed2aba2ac6a84eacbede1578cb"
},
"downloads": -1,
"filename": "cmocean-4.0.1.tar.gz",
"has_sig": false,
"md5_digest": "f22a2349bf74edbbba242c56d9b00f37",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 7145186,
"upload_time": "2024-04-05T21:39:18",
"upload_time_iso_8601": "2024-04-05T21:39:18.795466Z",
"url": "https://files.pythonhosted.org/packages/ec/09/9fd9b9ddf25679dd1895f4ea9cf0410572a6d17ee24015076b9748df2ea3/cmocean-4.0.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-05 21:39:18",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "matplotlib",
"github_project": "cmocean",
"travis_ci": true,
"coveralls": false,
"github_actions": true,
"requirements": [
{
"name": "matplotlib",
"specs": []
},
{
"name": "numpy",
"specs": []
}
],
"lcname": "cmocean"
}
JSON
