Source code for pymoo.visualization.petal

import numpy as np

from pymoo.docs import parse_doc_string
from pymoo.core.plot import Plot
from pymoo.util.misc import set_if_none
from pymoo.visualization.util import get_circle_points, plot_axes_lines, \
    plot_axis_labels, plot_circle, plot_polygon, parse_bounds, normalize, equal_axis, no_ticks


[docs] class Petal(Plot): def __init__(self, bounds=None, **kwargs): """ Petal Diagram Parameters ---------- bounds : tuple The boundaries for each objective. Necessary to be provided for this plot! axis_style : {axis_style} reverse : bool Default false. Otherwise, larger area means smaller value. Other Parameters ---------------- figsize : {figsize} title : {title} legend : {legend} tight_layout : {tight_layout} cmap : {cmap} """ super().__init__(bounds=bounds, **kwargs) if bounds is None: raise Exception("Boundaries must be provided for Petal Width. Otherwise, no trade-offs can be calculated.") set_if_none(self.axis_style, "color", "black") set_if_none(self.axis_style, "linewidth", 2) set_if_none(self.axis_style, "alpha", 0.5) def _plot(self, ax, F): # equal axis length and no ticks equal_axis(ax) no_ticks(ax) V = get_circle_points(len(F)) # sections to plot sections = np.linspace(0, 2 * np.pi, self.n_dim + 1) t = [(sections[i] + sections[i + 1]) / 2 for i in range(len(sections) - 1)] endpoints = np.column_stack([np.cos(t), np.sin(t)]) plot_axis_labels(ax, endpoints, self.get_labels(), **self.axis_label_style) center = np.zeros(2) for i in range(len(sections) - 1): t = np.linspace(sections[i], sections[i + 1], 100) v = np.column_stack([np.cos(t), np.sin(t)]) P = np.vstack([center, F[i] * v]) plot_polygon(ax, P, color=self.colors[i]) # draw the outer circle plot_circle(ax, **self.axis_style) plot_axes_lines(ax, V, **self.axis_style) def _do(self): n_rows = len(self.to_plot) n_cols = max([len(e[0]) for e in self.to_plot]) self.init_figure(n_rows=n_rows, n_cols=n_cols, force_axes_as_matrix=True) # normalize the input bounds = parse_bounds(self.bounds, self.n_dim) to_plot_norm = normalize(self.to_plot, bounds, reverse=self.reverse) for k, (F, kwargs) in enumerate(to_plot_norm): for j, _F in enumerate(F): self._plot(self.ax[k, j], _F)
parse_doc_string(Petal.__init__)