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توضیحات

Scientific colormaps for making accessible, informative and 'cmashing' plots

ویژگی	مقدار
سیستم عامل	-
نام فایل	cmasher-1.6.3
نام	cmasher
نسخه کتابخانه	1.6.3
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Ellert van der Velden
ایمیل نویسنده	ellert_vandervelden@outlook.com
آدرس صفحه اصلی	https://cmasher.readthedocs.io
آدرس اینترنتی	https://pypi.org/project/cmasher/
مجوز	BSD-3

|PyPI| |conda-forge| |Python| |GitHub| |Coverage| |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/1313e/viscm Colormap 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/cmasher/colormaps/cmap_overview.png :width: 100% :align: center :target: https://cmasher.readthedocs.io :alt: CMasher Colormap Overview In 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 channel If 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 <https://cmasher.readthedocs.io/user/usage.html#accessing-colormaps>`_. .. _repository: https://github.com/1313e/CMasher .. _PyPI: https://pypi.org/project/CMasher .. _conda-forge: https://anaconda.org/conda-forge/CMasher Example 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.pyplot as plt import numpy as np # Access rainforest colormap through CMasher or MPL cmap = cmr.rainforest # CMasher cmap = plt.get_cmap('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/workflow/status/1313e/CMasher/Test?logo=github&logoColor=white&label=Actions :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 .. |Coverage| image:: https://img.shields.io/codecov/c/github/1313e/CMasher/master.svg?logo=codecov&logoColor=white&label=Coverage :target: https://codecov.io/gh/1313e/CMasher/branches/master :alt: CodeCov - Coverage 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

نیازمندی

مقدار	نام
>=1.1.0	colorspacious
>=0.9.4	e13tools
>=2.2.4	matplotlib
>=1.16.0	numpy

زبان مورد نیاز

مقدار	نام
>=3.6, <4	Python

نحوه نصب

نصب پکیج whl cmasher-1.6.3:

pip install cmasher-1.6.3.whl

نصب پکیج tar.gz cmasher-1.6.3:

pip install cmasher-1.6.3.tar.gz