(self, sample_lists, m, color, label)
Update the samples plots with iteration data, for the trajectory samples
        and the policy samples.
Update the samples plots with iteration data, for the trajectory samples
        and the policy samples.
Update the samples plots with iteration data for the trajectory samples and the policy samples .
def _update_samples_plots(self, sample_lists, m, color, label):
        """
        Update the samples plots with iteration data, for the trajectory samples
        and the policy samples.
        """
        samples = sample_lists[m].get_samples()
        for sample in samples:
            ee_pt = sample.get(END_EFFECTOR_POINTS)
            for i in range(ee_pt.shape[1]/3):
                ee_pt_i = ee_pt[:, 3*i+0:3*i+3]
                self._traj_visualizer.plot_3d_points(m, ee_pt_i, color=color, label=label)
def _update_samples_plots ( self , sample_lists , m , color , label ) : samples = sample_lists [ m ] . get_samples ( ) for sample in samples : ee_pt = sample . get ( END_EFFECTOR_POINTS ) for i in range ( ee_pt . shape [ 1 ] / 3 ) : ee_pt_i = ee_pt [ : , 3 * i + 0 : 3 * i + 3 ] self . _traj_visualizer . plot_3d_points ( m , ee_pt_i , color = color , label = label )