parameters: (self,
               values: gtsam.Values,
               title: str = "Estimated Trajectory",
               fignum: int = POSES_FIG + 1,
               show: bool = False)
docstring: Plot poses in values.
  
          Args:
              values: The values object with the poses to plot.
              title: The title of the plot.
              fignum: The matplotlib figure number.
                  POSES_FIG is a value from the PreintegrationExample which we simply increment to generate a new figure.
              show: Flag indicating whether to display the figure.
docstring_summary: Plot poses in values.
docstring_tokens: Plot poses in values .
function: def plot(self,
               values: gtsam.Values,
               title: str = "Estimated Trajectory",
               fignum: int = POSES_FIG + 1,
               show: bool = False):
          """
          Plot poses in values.
  
          Args:
              values: The values object with the poses to plot.
              title: The title of the plot.
              fignum: The matplotlib figure number.
                  POSES_FIG is a value from the PreintegrationExample which we simply increment to generate a new figure.
              show: Flag indicating whether to display the figure.
          """
          i = 0
          while values.exists(X(i)):
              pose_i = values.atPose3(X(i))
              plot_pose3(fignum, pose_i, 1)
              i += 1
          plt.title(title)
  
          gtsam.utils.plot.set_axes_equal(fignum)
  
          print("Bias Values", values.atConstantBias(BIAS_KEY))
  
          plt.ioff()
  
          if show:
              plt.show()
function_tokens: def plot ( self , values : gtsam . Values , title : str = "Estimated Trajectory" , fignum : int = POSES_FIG + 1 , show : bool = False ) : i = 0 while values . exists ( X ( i ) ) : pose_i = values . atPose3 ( X ( i ) ) plot_pose3 ( fignum , pose_i , 1 ) i += 1 plt . title ( title ) gtsam . utils . plot . set_axes_equal ( fignum ) print ( "Bias Values" , values . atConstantBias ( BIAS_KEY ) ) plt . ioff ( ) if show : plt . show ( )