code: def plot_distance_landscape_projection(self, x_axis, y_axis, ax=None, *args, **kwargs):
          
  
          # 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)
docs: 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: