Function create_ternary_contour

plotly/figure_factory/_ternary_contour.py:511–692

Ternary contour plot. Parameters ---------- coordinates : list or ndarray Barycentric coordinates of shape (2, N) or (3, N) where N is the number of data points. The sum of the 3 coordinates is expected to be 1 for all data points. values : array-like

(
    coordinates,
    values,
    pole_labels=["a", "b", "c"],
    width=500,
    height=500,
    ncontours=None,
    showscale=False,
    coloring=None,
    colorscale="Bluered",
    linecolor=None,
    title=None,
    interp_mode="ilr",
    showmarkers=False,
)

def create_ternary_contour(
    coordinates,
    values,
    pole_labels=["a", "b", "c"],
    width=500,
    height=500,
    ncontours=None,
    showscale=False,
    coloring=None,
    colorscale="Bluered",
    linecolor=None,
    title=None,
    interp_mode="ilr",
    showmarkers=False,
):
    """
    Ternary contour plot.

    Parameters
    ----------

    coordinates : list or ndarray
        Barycentric coordinates of shape (2, N) or (3, N) where N is the
        number of data points. The sum of the 3 coordinates is expected
        to be 1 for all data points.
    values : array-like
        Data points of field to be represented as contours.
    pole_labels : str, default ['a', 'b', 'c']
        Names of the three poles of the triangle.
    width : int
        Figure width.
    height : int
        Figure height.
    ncontours : int or None
        Number of contours to display (determined automatically if None).
    showscale : bool, default False
        If True, a colorbar showing the color scale is displayed.
    coloring : None or 'lines'
        How to display contour. Filled contours if None, lines if ``lines``.
    colorscale : None or str (Plotly colormap)
        colorscale of the contours.
    linecolor : None or rgb color
        Color used for lines. ``colorscale`` has to be set to None, otherwise
        line colors are determined from ``colorscale``.
    title : str or None
        Title of ternary plot
    interp_mode : 'ilr' (default) or 'cartesian'
        Defines how data are interpolated to compute contours. If 'irl',
        ILR (Isometric Log-Ratio) of compositional data is performed. If
        'cartesian', contours are determined in Cartesian space.
    showmarkers : bool, default False
        If True, markers corresponding to input compositional points are
        superimposed on contours, using the same colorscale.

    Examples
    ========

    Example 1: ternary contour plot with filled contours