code: def plot_volume_exposures_longshort(longed_threshold, shorted_threshold,
                                      percentile, ax=None):
      
  
      if ax is None:
          ax = plt.gca()
  
      ax.plot(longed_threshold.index, longed_threshold,
              color='b', label='long')
      ax.plot(shorted_threshold.index, shorted_threshold,
              color='r', label='short')
      ax.axhline(0, color='k')
      ax.set(title='Long and short exposures to illiquidity',
             ylabel='{}th percentile of proportion of volume (%)'
             .format(100 * percentile))
      ax.legend(frameon=True, framealpha=0.5)
  
      return ax
docs: Plots outputs of compute_volume_exposures as line graphs
  
      Parameters
      ----------
      longed_threshold, shorted_threshold : pd.Series
          Series of longed and shorted volume exposures (output of
          compute_volume_exposures).
  
      percentile : float
          Percentile to use when computing and plotting volume exposures.
          - See full explanation in create_risk_tear_sheet