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https://github.com/1313e/cmasher
Scientific colormaps for making accessible, informative and 'cmashing' plots
https://github.com/1313e/cmasher
colormaps data-visualization matplotlib plotting python utility-functions
Last synced: about 4 hours ago
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Scientific colormaps for making accessible, informative and 'cmashing' plots
- Host: GitHub
- URL: https://github.com/1313e/cmasher
- Owner: 1313e
- License: bsd-3-clause
- Created: 2019-11-16T06:15:58.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2024-11-03T09:13:10.000Z (14 days ago)
- Last Synced: 2024-11-12T13:38:39.129Z (5 days ago)
- Topics: colormaps, data-visualization, matplotlib, plotting, python, utility-functions
- Language: Python
- Homepage: https://cmasher.readthedocs.io
- Size: 217 MB
- Stars: 427
- Watchers: 3
- Forks: 29
- Open Issues: 10
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
- Citation: CITATION
Awesome Lists containing this project
README
|PyPI| |conda-forge| |Python| |GitHub| |JOSS|
*CMasher*: Scientific colormaps for making accessible, informative and *cmashing* plots
=======================================================================================
The *CMasher* package provides a collection of scientific colormaps and utility functions to be used by different *Python* packages and projects, mainly in combination with `matplotlib`_, showcased in the `online documentation`_ (where I also describe how to use the colormaps in other languages and applications).
The colormaps in *CMasher* are all designed to be perceptually uniform sequential using the `viscm`_ package; most of them are color-vision deficiency friendly; and they cover a wide range of different color combinations to accommodate for most applications.
It offers several alternatives to commonly used colormaps, like *chroma* and *rainforest* for *jet*; *sunburst* for *hot*; *neutral* for *binary*; and *fusion* and *redshift* for *coolwarm*.
If you cannot find your ideal colormap, then please open an `issue`_, provide the colors and/or style you want, and I will try to create one to your liking!
Let's get rid of all bad colormaps in the world together!*If you use CMasher for your work, then please star the repo, such that I can keep track of how many users it has and more easily raise awareness of bad colormaps.*
*Additionally, if you use CMasher as part of your workflow in a scientific publication, please consider citing the CMasher paper* (*BibTeX:* ``cmr.get_bibtex``)... _issue: https://github.com/1313e/CMasher/issues
.. _online documentation: https://cmasher.readthedocs.io
.. _matplotlib: https://github.com/matplotlib/matplotlib
.. _viscm: https://github.com/matplotlib/viscmColormap overview
-----------------
Below is an overview of all the colormaps that are currently in *CMasher* (made with the ``cmr.create_cmap_overview()`` function).
For more information, see the `online documentation`_... image:: https://github.com/1313e/CMasher/raw/master/static/cmap_overview.png
:width: 100%
:align: center
:target: https://cmasher.readthedocs.io
:alt: CMasher Colormap OverviewIn the figure, one can see this wide range of color combinations that *CMasher* has to offer, as I wanted to make sure that *CMasher* has a colormap for everyone.
Because of this, *CMasher*'s sequential colormaps range from single major color maps like *amber*; *ember*; *flamingo*; *freeze*; *gothic*; and *jungle*, to colormaps with high perceptual ranges like *apple*; *chroma*; *torch*; *neon*; and *rainforest*.
The diverging colormaps in *CMasher* have a similar variety, but more importantly, several of them have a black center instead of a white center, like *iceburn*; *redshift*; *watermelon*; and *wildfire*.
Black centered diverging colormaps are quite rare as most researchers are used to white centered ones, even though a black centered diverging colormap can be rather useful in certain cases, like plotting a radial velocity map (the further away from the common center, the higher the velocity in either direction, and thus the corresponding color should be brighter).Installation & Use
==================
How to install
--------------
*CMasher* can be easily installed directly from `PyPI`_ with::$ pip install cmasher
or from `conda-forge`_ with::
$ conda install -c conda-forge cmasher # If conda-forge is not set up as a channel
$ conda install cmasher # If conda-forge is set up as a channelIf required, one can also clone the `repository`_ and install *CMasher* manually::
$ git clone https://github.com/1313e/CMasher
$ cd CMasher
$ pip install .*CMasher* can now be imported as a package with ``import cmasher as cmr``.
Besides Python, *CMasher*'s colormaps can also be accessed in various other languages and applications.
A list of all currently known languages and applications that support *CMasher* can be found in the online documentation `here `_... _repository: https://github.com/1313e/CMasher
.. _PyPI: https://pypi.org/project/CMasher
.. _conda-forge: https://anaconda.org/conda-forge/CMasherExample use
-----------
The colormaps shown above can be accessed by simply importing *CMasher*.
This makes them available in the ``cmasher`` module, in addition to registering them in *matplotlib*'s ``cm`` module (with added ``'cmr.'`` prefix to avoid name clashes).
So, for example, if one were to use the *rainforest* colormap, this could be done with:.. code:: python
# Import CMasher to register colormaps
import cmasher as cmr# Import packages for plotting
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np# Access rainforest colormap through CMasher or MPL
cmap = cmr.rainforest # CMasher
cmap = mpl.colormaps['cmr.rainforest'] # MPL# Generate some data to plot
x = np.random.rand(100)
y = np.random.rand(100)
z = x**2+y**2# Make scatter plot of data with colormap
plt.scatter(x, y, c=z, cmap=cmap, s=300)
plt.show()For other use-cases, including an overview of *CMasher*'s utility functions and how to use *CMasher* in other programming languages and applications, see the `online documentation`_.
.. |PyPI| image:: https://img.shields.io/pypi/v/CMasher.svg?logo=pypi&logoColor=white&label=PyPI
:target: https://pypi.python.org/pypi/CMasher
:alt: PyPI - Latest Release
.. |Python| image:: https://img.shields.io/pypi/pyversions/CMasher?logo=python&logoColor=white&label=Python
:target: https://pypi.python.org/pypi/CMasher
:alt: PyPI - Python Versions
.. |GitHub| image:: https://img.shields.io/github/actions/workflow/status/1313e/CMasher/.github/workflows/test.yml?branch=dev
:target: https://github.com/1313e/CMasher/actions
:alt: GitHub Actions - Build Status.. |ReadTheDocs| image:: https://img.shields.io/readthedocs/cmasher/latest.svg?logo=read%20the%20docs&logoColor=white&label=Docs
:target: https://cmasher.readthedocs.io
:alt: ReadTheDocs - Build Status
.. |JOSS| image:: https://img.shields.io/badge/JOSS-paper-brightgreen
:target: https://doi.org/10.21105/joss.02004
:alt: JOSS - Submission Status
.. |conda-forge| image:: https://img.shields.io/conda/vn/conda-forge/cmasher.svg?logo=conda-forge&logoColor=white
:target: https://anaconda.org/conda-forge/cmasher
:alt: Conda-Forge - Latest Release