我有一個(gè)代表餐廳顧客評(píng)分的數(shù)據(jù)框。star_rating是該數(shù)據(jù)框中客戶(hù)的評(píng)級(jí)。我想要做的是nb_favorables_mention在同一數(shù)據(jù)框中添加一列，表示收到至少一個(gè)“有用”或“有趣”或“酷”評(píng)級(jí)的評(píng)論總數(shù)，并且評(píng)論的評(píng)級(jí)> = 3。data = {'rating_id': ['1', '2','3','4','5','6','7','8','9'],        'user_id': ['56', '13','56','99','99','13','12','88','45'],        'restaurant_id':  ['xxx', 'xxx','yyy','yyy','xxx','zzz','zzz','eee','eee'],        'star_rating': ['2.3', '3.7','1.2','5.0','1.0','3.2','1.0','2.2','0.2'],        'rating_year': ['2012','2012','2020','2001','2020','2015','2000','2003','2004'],        'first_year': ['2012', '2012','2001','2001','2012','2000','2000','2001','2001'],        'last_year': ['2020', '2020','2020','2020','2020','2015','2015','2020','2020'],        'funny': ['1', '0','0','1','1','1','0','0','0'],        'useful': ['1', '0','0','0','1','0','0','0','1'],        'cool': ['1', '0','0','0','1','1','1','1','1'],        }df = pd.DataFrame (data, columns = ['rating_id','user_id','restaurant_id','star_rating','rating_year','first_year','last_year','funny','useful','cool'])df['star_rating'] = df['star_rating'].astype(float)filtered_data = df[(df['star_rating'] >= 3) & (df['funny']==1 | df['useful']==1 | df['cool']==1)]d = filtered_data.groupby('restaurant_id')['star_rating'].count().to_dict()df['nb_favorables_mention'] = df['restaurant_id'].map(d)df.head(20)我不確定我的語(yǔ)法有什么問(wèn)題，但根據(jù)我的嘗試，我不斷收到這些錯(cuò)誤消息ValueError：系列的真值不明確。使用 a.empty、a.bool()、a.item()、a.any() 或 a.all()。類(lèi)型錯(cuò)誤：無(wú)法使用 dtyped [object] 數(shù)組和 [bool] 類(lèi)型的標(biāo)量執(zhí)行“ror_”考慮到我想要實(shí)現(xiàn)的目標(biāo)，正確的語(yǔ)法是什么？