Ternary plots as projections of Matplotlib
Mpltern (https://yuzie007.github.io/mpltern) is a Python plotting library based on Matplotlib specifically designed for ternary plots. 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
tight_layout and constrained_layout
Easy combination with normal Matplotlib plots
Easy application of seaborn styles
Working also in Matplotlib interactive modes inside e.g. Jupyter notebooks
See the install documentation.
See the basic usage documentation.
How to Cite mpltern
The author requests to cite mpltern via the DOI above if mpltern contributes to a scientific publication. Of course, Matplotlib should be also very much acknowledged when using mpltern.
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