code: def get_top_long_short_abs(positions, top=10):
      
  
      positions = positions.drop('cash', axis='columns')
      df_max = positions.max()
      df_min = positions.min()
      df_abs_max = positions.abs().max()
      df_top_long = df_max[df_max > 0].nlargest(top)
      df_top_short = df_min[df_min < 0].nsmallest(top)
      df_top_abs = df_abs_max.nlargest(top)
      return df_top_long, df_top_short, df_top_abs
docs: Finds the top long, short, and absolute positions.
  
      Parameters
      ----------
      positions : pd.DataFrame
          The positions that the strategy takes over time.
      top : int, optional
          How many of each to find (default 10).
  
      Returns
      -------
      df_top_long : pd.DataFrame
          Top long positions.
      df_top_short : pd.DataFrame
          Top short positions.
      df_top_abs : pd.DataFrame
          Top absolute positions.