code: def show_profit_attribution(round_trips):
      
  
      total_pnl = round_trips['pnl'].sum()
      pnl_attribution = round_trips.groupby('symbol')['pnl'].sum() / total_pnl
      pnl_attribution.name = ''
  
      pnl_attribution.index = pnl_attribution.index.map(utils.format_asset)
      utils.print_table(
          pnl_attribution.sort_values(
              inplace=False,
              ascending=False,
          ),
          name='Profitability (PnL / PnL total) per name',
          float_format='{:.2%}'.format,
      )
docs: Prints the share of total PnL contributed by each
      traded name.
  
      Parameters
      ----------
      round_trips : pd.DataFrame
          DataFrame with one row per round trip trade.
          - See full explanation in round_trips.extract_round_trips
      ax : matplotlib.Axes, optional
          Axes upon which to plot.
  
      Returns
      -------
      ax : matplotlib.Axes
          The axes that were plotted on.