ternary_diagram package

class ternary_diagram.TernaryDiagram(materials: Tuple[str, str, str], ax: Optional[matplotlib.axes._axes.Axes] = None, auto_latex_notation: bool = True)

Bases: object

Make instance.

Create borders, etc. for triangulation diagrams.

Parameters

  • materials (Tuple[str, str, str]) –

    A one-dimensional list of compounds that constitute an endpoint when generating a ternary_diagram.

    Specify counterclockwise from the top vertex of the triangle.

  • ax (Optional[matplotlib.axes.Axes], optional) – Axes object to draw a diagram. If None, automatically generate.

  • auto_latex_notation (bool, optional) – If True, the LaTeX notation of the material is automatically generated. If False, the material is displayed as it is.

Examples

>>> 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([[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)
_append_x_y(plotter) → None

append x, y data

Parameters

plotter (_BasePlotter) – plotter

Raises

TypeError – “plotter must inherit _BasePlotter”

annotate(text: str, vector: Union[numpy.typing._array_like._SupportsArray[numpy.dtype], numpy.typing._nested_sequence._NestedSequence[numpy.typing._array_like._SupportsArray[numpy.dtype]], bool, int, float, complex, str, bytes, numpy.typing._nested_sequence._NestedSequence[Union[bool, int, float, complex, str, bytes]]], **kwargs) → matplotlib.text.Annotation

Annotate text.

This is a wrapper of matplotlib.pyplot.annotate.

Parameters

  • text (str) – Text to be displayed.

  • vector (1D ArrayLike, whose length is 3.) –

    vector : ArrayLike | shape = (3,) It represents the ratio of each component (the sum does not have to be 1).

    The vectors are specified in semi-clockwise order starting from the vertex of the triangle.

  • kwargs (parameter of matplotlib.pyplot.annotate, optional) – See https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.annotate.html

Returns

An annotation.

Return type

matplotlib.text.Annotation

property ax: matplotlib.axes._axes.Axes

Axes object

colorbar(mappable, shrink: float = 0.8, format='%.1f', label: str = '', orientation: str = 'vertical', location: str = 'right', **kwargs) → matplotlib.colorbar.Colorbar

Draw a colorbar.

This is a wrapper of matplotlib.pyplot.colorbar.

See https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html

Parameters

  • mappable (matplotlib.cm.ScalarMappable) – The object that contains the colorbar data.

  • shrink (float, optional) – how much to shrink the colorbar, by default 0.8

  • format (str, optional) – float format, by default ‘%.1f’

  • label (str, optional) – bar label, by default ‘’

  • orientation (str, optional) – bar orientation, by default ‘vertical’

  • location (str, optional) – location, by default ‘right’

  • kwargs (parameter of matplotlib.pyplot.colorbar, optional) – See https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.colorbar.html

Returns

colorbar object

Return type

matplotlib.colorbar.Colorbar

contour(vector: Union[numpy.typing._array_like._SupportsArray[numpy.dtype], numpy.typing._nested_sequence._NestedSequence[numpy.typing._array_like._SupportsArray[numpy.dtype]], bool, int, float, complex, str, bytes, numpy.typing._nested_sequence._NestedSequence[Union[bool, int, float, complex, str, bytes]]], z: Optional[Union[numpy.typing._array_like._SupportsArray[numpy.dtype], numpy.typing._nested_sequence._NestedSequence[numpy.typing._array_like._SupportsArray[numpy.dtype]], bool, int, float, complex, str, bytes, numpy.typing._nested_sequence._NestedSequence[Union[bool, int, float, complex, str, bytes]]]] = None, z_min: Optional[numbers.Number] = None, z_max: Optional[numbers.Number] = None, fill: bool = True, flag_cbar: bool = True, **kwargs) → matplotlib.tri.tricontour.TriContourSet

To create a contour map.

This is a wrapper of plt.tricontour or plt.tricontourf.

See https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.tricontour.html or https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.tricontourf.html

  • When fill is True, this is a wrapper of plt.tricontourf.

  • When fill is False, this is a wrapper of plt.tricontour.

Parameters

  • vector (ArrayLike | shape = (n, 3)) –

    2D vector whose shape is (n, 3). It represents the ratio of each component (the sum does not have to be 1).

    The vectors are specified in semi-clockwise order starting from the vertex of the triangle.

  • z (Optional[ArrayLike], shape = (n,)) – , by default None

  • z_min (Optional[Number], optional) – , by default None

  • z_max (Optional[Number], optional) – , by default None

  • kwargs (parameter of matplotlib.pyplot.contour, optional) – See https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.contour.html.

Returns

A collection of contour lines.

Return type

matplotlib.tri.tricontour.TriContourSet

property fig: matplotlib.figure.Figure

Figure object

plot(vector: Union[numpy.typing._array_like._SupportsArray[numpy.dtype], numpy.typing._nested_sequence._NestedSequence[numpy.typing._array_like._SupportsArray[numpy.dtype]], bool, int, float, complex, str, bytes, numpy.typing._nested_sequence._NestedSequence[Union[bool, int, float, complex, str, bytes]]], **kwargs) → List[matplotlib.lines.Line2D]

To draw a tie line.

This is a wrapper of matplotlib.pyplot.plot.

Parameters

  • vector (ArrayLike | shape = (n, 3)) –

    vector : ArrayLike | shape = (n, 3) 2D vector whose shape is (n, 3). It represents the ratio of each component (the sum does not have to be 1).

    The vectors are specified in semi-clockwise order starting from the vertex of the triangle.

  • kwargs (parameter of matplotlib.pyplot.plot, optional) – See https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html

Returns

lines.

Return type

List[matplotlib.lines.Line2D]

scatter(vector: Union[numpy.typing._array_like._SupportsArray[numpy.dtype], numpy.typing._nested_sequence._NestedSequence[numpy.typing._array_like._SupportsArray[numpy.dtype]], bool, int, float, complex, str, bytes, numpy.typing._nested_sequence._NestedSequence[Union[bool, int, float, complex, str, bytes]]], z: Optional[Union[numpy.typing._array_like._SupportsArray[numpy.dtype], numpy.typing._nested_sequence._NestedSequence[numpy.typing._array_like._SupportsArray[numpy.dtype]], bool, int, float, complex, str, bytes, numpy.typing._nested_sequence._NestedSequence[Union[bool, int, float, complex, str, bytes]]]] = None, z_min: Optional[numbers.Number] = None, z_max: Optional[numbers.Number] = None, annotations: Optional[List[str]] = None, flag_cbar: bool = True, **kwargs) → matplotlib.collections.PathCollection

Plot scatter points.

This is a wrapper of matplotlib.pyplot.scatter.

Parameters

  • vector (ArrayLike | shape = (n, 3)) –

    vector : ArrayLike | shape = (n, 3) 2D vector whose shape is (n, 3). It represents the ratio of each component (the sum does not have to be 1).

    The vectors are specified in semi-clockwise order starting from the vertex of the triangle.

  • z (ArrayLike, shape = (n,), optional) – , by default None

  • z_min (Optional[Number] , optional) – , by default None

  • z_max (Optional[Number], optional) – , by default None

  • annotations (Optional[List[str]], optional) – instance annotations, by default None if None, nothing is annotated.

  • flag_cbar (bool, optional) – instance colorbar or not, by default True

  • kwargs (parameter of matplotlib.pyplot.scatter, optional) –

    For example, marker=’x’, facecolor=’blue’ etc.

    See https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html.

Returns

A collection of scatter points.

Return type

matplotlib.collections.PathCollection