我有一个关于电影信息的数据框。我对“制作公司”和“奖项”这两栏感兴趣。我必须按公司对数据框进行分组，并计算它们获得的奖项数量，然后显示最有价值的三家公司。我这样做了，得到了一个系列：

mv['Award'] = mv['Award'].astype('string')
mv['Winners'] = mv['Award'] == 'Winner'
mv['Winners']=mv['Winners'].astype('string')
mv['Winners'] = mv['Winners'].str.replace('False','')
mv['Winners'] = mv['Winners'].notnull()
mv['Winners']=mv['Winners'].astype('string')
mv['Winners']=mv['Winners'].str.replace('True','Oscar')
Number_Award = mv.groupby(['Production Company'])['Winners'].value_counts().sort_values(ascending = False).head(3)
print(Number_Award)

**Result:**
Production Company      Winners
Paramount Pictures      Oscar      33
Warner Bros. Pictures   Oscar      29
MGM Home Entertainment  Oscar      28
Name: Winners, dtype: int64

然后，我尝试转换为dataframe并为列分配名称，但我不能这样做，因为只有一个名为“Winners”的列。它看起来像这样：

Number_Award = Number_Award.to_frame()
Number_Award

**Result:**
Winners
Production Company  Winners 
Paramount Pictures  Oscar   33
Warner Bros. Pictures   Oscar   29
MGM Home Entertainment  Oscar   28

我如何重新创建dataframe，使其看起来像这样：

Production Company  Award   Number of award
Paramount Pictures  Oscar   33
Warner Bros. Pictures   Oscar   29
MGM Home Entertainment  Oscar   28