Source code for pymoo.visualization.star_coordinate

import numpy as np

from pymoo.visualization.util import plot_axes_arrow, plot_axis_labels, equal_axis, no_ticks, parse_bounds, \
    normalize, get_uniform_points_around_circle
from pymoo.docs import parse_doc_string
from pymoo.core.plot import Plot




class StarCoordinate(Plot):

    def __init__(self,
                 axis_extension=1.03,
                 **kwargs):
        """

        Star Coordinate Plot

        Parameters
        ----------

        axis_style : {axis_style}
        labels : {labels}
        endpoint_style : dict
            Endpoints are drawn at each extreme point of an objective. This style can be modified.

        Other Parameters
        ----------------

        figsize : {figsize}
        title : {title}
        legend : {legend}
        tight_layout : {tight_layout}
        cmap : {cmap}

        """
        super().__init__(**kwargs)

        self.axis_extension = axis_extension

        if "arrow_style" not in kwargs:
            self.arrow_style = {
                "head_width": 0.02,
                "head_length": 0.01
            }
        else:
            self.arrow_style = kwargs["arrow_style"]

    def _do(self):

        # initial a figure with a single plot
        self.init_figure()

        # equal axis length and no ticks
        equal_axis(self.ax)
        no_ticks(self.ax)

        # determine the overall scale of points
        _F = np.vstack([e[0] for e in self.to_plot])
        _min, _max = _F.min(axis=0), _F.max(axis=0)

        V = get_uniform_points_around_circle(self.n_dim)

        plot_axes_arrow(self.ax, V, extend_factor=self.axis_extension, **{**self.axis_style, **self.arrow_style})
        plot_axis_labels(self.ax, V, self.get_labels(), **self.axis_label_style)

        # normalize in range for this plot - here no implicit normalization as in radviz
        bounds = parse_bounds(self.bounds, self.n_dim)
        to_plot_norm = normalize(self.to_plot, bounds)

        for k, (F, kwargs) in enumerate(to_plot_norm):
            N = (F[..., None] * V).sum(axis=1)
            self.ax.scatter(N[:, 0], N[:, 1], **kwargs)



parse_doc_string(StarCoordinate.__init__)