code: def plot_sector_exposures_gross(gross_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))
  
      ax.stackplot(gross_exposures[0].index, gross_exposures,
                   labels=sector_names, colors=color_list, alpha=0.8,
                   baseline='zero')
      ax.axhline(0, color='k', linestyle='-')
      ax.set(title='Gross exposure to sectors',
             ylabel='Proportion of gross exposure \n in sectors')
  
      return ax
docs: Plots output of compute_sector_exposures as area charts
  
      Parameters
      ----------
      gross_exposures : arrays
          Arrays of gross sector exposures (output of compute_sector_exposures).
  
      sector_dict : dict or OrderedDict
          Dictionary of all sectors
          - See full description in compute_sector_exposures