Beispiel #1
0
    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.row_stack([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)
Beispiel #2
0
    def _do(self):

        if self.bounds is None:
            raise Exception("The boundaries must be provided.")

        _F = np.row_stack([e[0] for e in self.to_plot])
        if np.any(_F < self.bounds[0]) or np.any(_F > self.bounds[1]):
            raise Exception(
                "Points out of the boundaries exist! Please make sure the boundaries are indeed boundaries.")

        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)

        # get the endpoints of circle
        V = get_circle_points(self.n_dim)

        if self.normalize_each_objective:
            inner = np.zeros((self.n_dim, 1)) * V
            outer = np.ones((self.n_dim, 1)) * V
        else:
            inner = bounds[[0]].T * V
            outer = (bounds[[1]].T * V) / bounds[1].max()

        for k, (F, kwargs) in enumerate(to_plot_norm):

            for j, _F in enumerate(F):
                self._plot(self.ax[k, j], _F, inner, outer, kwargs)