Metadata-Version: 2.1
Name: mpltern
Version: 0.3.2
Summary: Ternary plots as projections of Matplotlib
Home-page: https://github.com/yuzie007/mpltern
Author: Yuji Ikeda
Author-email: yuji.ikeda.ac.jp@gmail.com
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/yuzie007/mpltern/issues
Project-URL: Source, https://github.com/yuzie007/mpltern
Description: # mpltern
        
        [![Build Status](https://travis-ci.org/yuzie007/mpltern.svg?branch=master)](https://travis-ci.org/yuzie007/mpltern)
        [![PyPI version](https://badge.fury.io/py/mpltern.svg)](https://badge.fury.io/py/mpltern)
        [![PyPI](https://img.shields.io/pypi/dm/mpltern.svg)](https://pypi.python.org/pypi/mpltern)
        [![Conda Version](https://img.shields.io/conda/vn/conda-forge/mpltern.svg)](https://anaconda.org/conda-forge/mpltern)
        [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/mpltern.svg)](https://anaconda.org/conda-forge/mpltern)
        [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3528355.svg)](https://doi.org/10.5281/zenodo.3528355)
        
        Mpltern is a Python plotting library based on
        [Matplotlib](https://matplotlib.org), specifically designed for
        [ternary plots](https://en.wikipedia.org/wiki/Ternary_plot).
        Mpltern is implemented as a new projection for Matplotlib, with introducing
        e.g. new `Transform` classes for ternary plots.
        The followings are the features of mpltern when compared with other
        ternary-plot libraries:
        
        - Many things one expects essentially possible using Matplotlib can be done
          also in mpltern, without e.g. ternary-to-Cartesian conversions on the user
          side
        - For the same plotting styles, mpltern offers the same or very similar method
          names as Matplotlib does; you do not need to learn many new commands in
          addition to those for Matplotlib
        - Tick markers, tick labels, and axis labels are automatically positioned with
          reasonable paddings inherited from Matplotlib;
          this allows users e.g. faster production of ternary plots with publication
          quality
        - Easy combination with normal Matplotlib plots
        - Easy application of [seaborn](https://seaborn.pydata.org) styles
        - Working also in Matplotlib interactive modes inside e.g.
          [Jupyter](http://jupyter.org) notebooks
        
        Details of mpltern are found in https://yuzie007.github.io/mpltern.
        
        [<img src="https://mpltern.readthedocs.io/en/latest/_images/sphx_glr_with_seaborn_styles_001.svg" width="162"/>](https://yuzie007.github.io/mpltern/gallery/index.html)
        [<img src="https://mpltern.readthedocs.io/en/latest/_images/sphx_glr_05.inset_001.svg" width="162"/>](https://yuzie007.github.io/mpltern/gallery/index.html)
        [<img src="https://mpltern.readthedocs.io/en/latest/_images/basic_2.svg" width="162"/>](https://yuzie007.github.io/mpltern/gallery/index.html)
        [<img src="https://mpltern.readthedocs.io/en/latest/_images/sphx_glr_02.arbitrary_triangle_001.svg" width="162"/>](https://yuzie007.github.io/mpltern/gallery/index.html)
        
        ## Author
        
        Yuji Ikeda
        ([Github](https://github.com/yuzie007),
        [Google Scholar](https://scholar.google.com/citations?user=2m5dkBwAAAAJ&hl=en),
        [ResearchGate](https://www.researchgate.net/profile/Yuji_Ikeda6))
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
Description-Content-Type: text/markdown
