original_docstring: 
      Plots rebit states drawn from a given prior.
  
      :param qinfer.tomography.DensityOperatorDistribution prior: Distribution over
          rebit states to plot.
      :param list rebit_axes: List containing indices for the :math:`x`
          and :math:`z` axes.
      :param int n_samples: Number of samples to draw from the
          prior.
      :param np.ndarray true_state: State to be plotted as a "true" state for
          comparison.
      
docstring: Plots rebit states drawn from a given prior.
docstring_tokens: Plots rebit states drawn from a given prior .
code: def plot_rebit_prior(prior, rebit_axes=REBIT_AXES,
          n_samples=2000, true_state=None, true_size=250,
          force_mean=None,
          legend=True,
          mean_color_index=2
      ):
      """
      Plots rebit states drawn from a given prior.
  
      :param qinfer.tomography.DensityOperatorDistribution prior: Distribution over
          rebit states to plot.
      :param list rebit_axes: List containing indices for the :math:`x`
          and :math:`z` axes.
      :param int n_samples: Number of samples to draw from the
          prior.
      :param np.ndarray true_state: State to be plotted as a "true" state for
          comparison.
      """
      pallette = plt.rcParams['axes.color_cycle']
  
      plot_rebit_modelparams(prior.sample(n_samples),
          c=pallette[0],
          label='Prior',
          rebit_axes=rebit_axes
      )
  
      if true_state is not None:
          plot_rebit_modelparams(true_state,
              c=pallette[1],
              label='True', marker='*', s=true_size,
              rebit_axes=rebit_axes
          )
  
      if hasattr(prior, '_mean') or force_mean is not None:
          mean = force_mean if force_mean is not None else prior._mean
          plot_rebit_modelparams(
              prior._basis.state_to_modelparams(mean)[None, :],
              edgecolors=pallette[mean_color_index], s=250, facecolors='none', linewidth=3,
              label='Mean',
              rebit_axes=rebit_axes
          )
  
      plot_decorate_rebits(prior.basis,
          rebit_axes=rebit_axes
      )
      if legend:
          plt.legend(loc='lower left', ncol=3, scatterpoints=1)
code_tokens: def plot_rebit_prior ( prior , rebit_axes = REBIT_AXES , n_samples = 2000 , true_state = None , true_size = 250 , force_mean = None , legend = True , mean_color_index = 2 ) : pallette = plt . rcParams [ 'axes.color_cycle' ] plot_rebit_modelparams ( prior . sample ( n_samples ) , c = pallette [ 0 ] , label = 'Prior' , rebit_axes = rebit_axes ) if true_state is not None : plot_rebit_modelparams ( true_state , c = pallette [ 1 ] , label = 'True' , marker = '*' , s = true_size , rebit_axes = rebit_axes ) if hasattr ( prior , '_mean' ) or force_mean is not None : mean = force_mean if force_mean is not None else prior . _mean plot_rebit_modelparams ( prior . _basis . state_to_modelparams ( mean ) [ None , : ] , edgecolors = pallette [ mean_color_index ] , s = 250 , facecolors = 'none' , linewidth = 3 , label = 'Mean' , rebit_axes = rebit_axes ) plot_decorate_rebits ( prior . basis , rebit_axes = rebit_axes ) if legend : plt . legend ( loc = 'lower left' , ncol = 3 , scatterpoints = 1 )
short_docstring: Plots rebit states drawn from a given prior.
short_docstring_tokens: Plots rebit states drawn from a given prior .
comment: """
      Plots rebit states drawn from a given prior.
  
      :param qinfer.tomography.DensityOperatorDistribution prior: Distribution over
          rebit states to plot.
      :param list rebit_axes: List containing indices for the :math:`x`
          and :math:`z` axes.
      :param int n_samples: Number of samples to draw from the
          prior.
      :param np.ndarray true_state: State to be plotted as a "true" state for
          comparison.
      """