我怎么能给它一行和一列？

Question

a = df.groupby('actor_1_name')['gross'].sum()
b = df.groupby('actor_2_name')['gross'].sum()
c = df.groupby('actor_3_name')['gross'].sum()
x = pd.concat([a,b,c]).nlargest(3)
x

此代码的输出为^

如何让它看起来像这样：

Jezrael的新产品：

Answer 1

从print(i,"!=", n) - DataFrame添加Series index创建新列：

x = pd.concat([a,b,c]).nlargest(3).rename_axis('name').reset_index()

样品：

s = pd.Series([3.71,3.39,3.26],index=['Johny Depp','Harrison Ford','tom Hanks'],name='gross')
print (s)
Johny Depp       3.71
Harrison Ford    3.39
tom Hanks        3.26
Name: gross, dtype: float64

df = s.rename_axis('name').reset_index()
print (df)
            name  gross
0     Johny Depp   3.71
1  Harrison Ford   3.39
2      tom Hanks   3.26

df = s.reset_index().rename(columns={'index':'name'})
print (df)
            name  gross
0     Johny Depp   3.71
1  Harrison Ford   3.39
2      tom Hanks   3.26