def update_plot(self):
xbeta = self.beta * cvtfactor
xdelta = self.delta * cvtfactor
xtheta = self.theta_1 * cvtfactor
self.a1, self.a2 = input_stage.amplitudes( xbeta, xdelta, xtheta )
x, y, z = calc(self.a1, self.a2, theta=self.theta, phi=self.phi)
self.plot.mlab_source.set(x=x, y=y, z=z)
return
def activate_trajectory_scene(self):
self.scene.mlab.axes(self.pt_source,
x_axis_visibility=False, y_axis_visibility=False, z_axis_visibility=False)
# self.scene.mlab.orientation_axes(xlabel='S1',ylabel='S2',zlabel='S3')
xbeta = self.beta * cvtfactor
xdelta = self.delta * cvtfactor
xtheta = self.theta_1 * cvtfactor
self.a1, self.a2 = input_stage.amplitudes( xbeta, xdelta, xtheta )
x,y,z = calc(self.a1, self.a2, theta=self.theta, phi=self.phi)
self.plot = self.scene.mlab.plot3d(x, y, z, tube_radius=None, color=poincare.orange)
poincare.plot_grid(Xmlab=self.scene.mlab)
poincare.land_marks(Xmlab=self.scene.mlab, figure=self.scene.mayavi_scene)
self.scene.mlab.view( azimuth=45, elevation=54, distance=5.5 )
# self.scene.reset_zoom()
return
