code: def is_outlier(df, item_id, segment_id, price):
      
  
      if (segment_id, item_id) not in df.index:
          return False
  
      mean = df.loc[(segment_id, item_id)]['mean']
      std = df.loc[(segment_id, item_id)]['std']
  
      return gaussian_outlier.is_outlier(
          x=price, mean=mean, standard_deviation=std
      )
docs: Verify if a item is an outlier compared to the
      other occurrences of the same item, based on his price.
  
      Args:
          item_id: idPlanilhaItens
          segment_id: idSegmento
          price: VlUnitarioAprovado