avg_score_by_beer = score_by_beer.groupby(['beer_name','beer_style']).aggregate(['mean','sem','count'])
avg_score_by_beer.columns = avg_score_by_beer.columns.get_level_values(1)
best_score_by_beer = avg_score_by_beer[avg_score_by_beer['count']>10].sort_values(by='mean',ascending=False)
best_score_by_beer