ternary-diagram

This package makes it easier for you to draw beautiful ternary diagram without pymatgen.


Keywords
ternarydiagram, phasediagram, chemistry, materials-informatics, ternary-diagrams
License
MIT
Install
pip install ternary-diagram==1.5.4

Documentation

Ternary Diagram

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This package makes it easier for you to draw beautiful ternary diagram without pymatgen.

Meaningly, only need numpy and matplotlib.

What you will be able to do with this package

  • Create beautiful contour maps easily
  • Creating a scatter plot
  • Draw tie lines
  • Automatically format chemical composition using subscripts
  • Most of the matplotlib options are available

/example/contour/example_contour.png

How to install

PyPI

pip install ternary-diagram

PyPI project is here.

Anaconda

conda install -c conda-forge ternary-diagram

Anaconda (conda-forge) package site is here.

Usage

See Examples and the documentation.

Examples

An easy example is here.

import matplotlib.pyplot as plt
from ternary_diagram import TernaryDiagram

# You can set `ax` to select which axes to draw. If not, the current axes will be used.
td = TernaryDiagram(["Li2O", "La2O3", "TiO2"])

# scatter
td.scatter(vector=[[1, 1, 1], [1, 2, 3]], z=[0, 1])
# You can set some options in `plt.scatter` like `marker`, `c` etc.
td.scatter(vector=[[2, 1, 3], [3, 2, 1]], marker="s", c="#022c5e", s=30)

# line plot
# You can set some options in `plt.plot` like `lw`, `c`, and so on.
td.plot([[1, 1, 1], [1, 2, 3]], color="black")

# save figure
td.fig.savefig("figure.png", dpi=144)

/example/example_on_readme/figure.png

It can be written like this.

# The background color is sometimes transparent in jupyter notebooks, so set facecolor 'white'.
fig, ax = plt.subplots(facecolor="w")

# You can set `ax` to select which axes to draw. If not, the current axes will be used.
td = TernaryDiagram(["Li2O", "La2O3", "TiO2"], ax=ax)

# scatter
td.scatter(vector=[[1, 1, 1], [1, 2, 3]], z=[0, 1])
# You can set some options in `plt.scatter` like `marker`, `c` etc.
td.scatter(vector=[[2, 1, 3], [3, 2, 1]], marker="s", c="#022c5e", s=30)

# line plot
# You can set some options in `plt.plot` like `lw`, `c`, and so on.
td.plot([[1, 1, 1], [1, 2, 3]], color="black")

# save figure
fig.savefig("figure.png", dpi=144)

It means that you can draw multiple figures in one figure object.

See also the example folder.

LICENSE

See LICENSE.

MIT Licence

Copyright (c) 2021 yu9824