def plot_distance_landscape_projection(self, x_axis, y_axis, ax=None, *args, **kwargs):
        """
        Plots the distance landscape jointly-generated from all the results

        :param x_axis: symbol to plot on x axis
        :param y_axis: symbol to plot on y axis
        :param ax: axis object to plot onto
        :param args: arguments to pass to :func:`matplotlib.pyplot.contourf`
        :param kwargs: keyword arguments to pass to :func:`matplotlib.pyplot.contourf`
        :return:
        """

        # Gather all x, y, z's to plot first as this would make the gradient landscape better
        x_all, y_all, z_all = [], [], []
        for result in self.results:
            x, y, z = result.distance_landscape_as_3d_data(x_axis, y_axis)
            x_all.extend(x)
            y_all.extend(y)
            z_all.extend(z)

        # Now plot the contour for x_all, y_all and z_all
        plot_contour(x_all, y_all, z_all, x_axis, y_axis, ax=ax, *args, **kwargs)
def plot_distance_landscape_projection ( self , x_axis , y_axis , ax = None , * args , ** kwargs ) : x_all , y_all , z_all = [ ] , [ ] , [ ] for result in self . results : x , y , z = result . distance_landscape_as_3d_data ( x_axis , y_axis ) x_all . extend ( x ) y_all . extend ( y ) z_all . extend ( z ) plot_contour ( x_all , y_all , z_all , x_axis , y_axis , ax = ax , * args , ** kwargs )
Plots the distance landscape jointly-generated from all the results

        :param x_axis: symbol to plot on x axis
        :param y_axis: symbol to plot on y axis
        :param ax: axis object to plot onto
        :param args: arguments to pass to :func:`matplotlib.pyplot.contourf`
        :param kwargs: keyword arguments to pass to :func:`matplotlib.pyplot.contourf`
        :return: