code: def DisplayEstimate(message, min_estimate, max_estimate):
    
    # Find the mean of the min and max values.
    mean_avg_cpc = (_CalculateMean(min_estimate['averageCpc']['microAmount'],
                                   max_estimate['averageCpc']['microAmount'])
                    if 'averageCpc' in min_estimate
                    and min_estimate['averageCpc'] else None)
    mean_avg_pos = (_CalculateMean(min_estimate['averagePosition'],
                                   max_estimate['averagePosition'])
                    if 'averagePosition' in min_estimate
                    and min_estimate['averagePosition'] else None)
    mean_clicks = _CalculateMean(min_estimate['clicksPerDay'],
                                 max_estimate['clicksPerDay'])
    mean_total_cost = _CalculateMean(min_estimate['totalCost']['microAmount'],
                                     max_estimate['totalCost']['microAmount'])
  
    print message
    print '  Estimated average CPC: %s' % _FormatMean(mean_avg_cpc)
    print '  Estimated ad position: %s' % _FormatMean(mean_avg_pos)
    print '  Estimated daily clicks: %s' % _FormatMean(mean_clicks)
    print '  Estimated daily cost: %s' % _FormatMean(mean_total_cost)
docs: Displays mean average cpc, position, clicks, and total cost for estimate.
  
    Args:
      message: str message to display for the given estimate.
      min_estimate: sudsobject containing a minimum estimate from the
        TrafficEstimatorService response.
      max_estimate: sudsobject containing a maximum estimate from the
        TrafficEstimatorService response.