code: def plot_sector_exposures_net(net_exposures, sector_dict=None, ax=None):
      
  
      if ax is None:
          ax = plt.gca()
  
      if sector_dict is None:
          sector_names = SECTORS.values()
      else:
          sector_names = sector_dict.values()
  
      color_list = plt.cm.gist_rainbow(np.linspace(0, 1, 11))
  
      for i in range(len(net_exposures)):
          ax.plot(net_exposures[i], color=color_list[i], alpha=0.8,
                  label=sector_names[i])
      ax.set(title='Net exposures to sectors',
             ylabel='Proportion of net exposure \n in sectors')
  
      return ax
docs: Plots output of compute_sector_exposures as line graphs
  
      Parameters
      ----------
      net_exposures : arrays
          Arrays of net sector exposures (output of compute_sector_exposures).
  
      sector_dict : dict or OrderedDict
          Dictionary of all sectors
          - See full description in compute_sector_exposures