Python 使用Pandas替换不同列的元素

我有两个数据帧列，如下所示：

df1 = pd.DataFrame({'A':['CINO','KONO','ROLO','MANE','TUTU']})
df2 = pd.DataFrame({'B':['NION','PONO','RZCO','MPPE','TQAS']})

        C
CC1  CINO   <---- belongs to A
CC1  NION  <---- belongs to B
CC2  KONO   <---- belongs to A    
CC2  PONO  <---- belongs to B
CC3  ROLO   <---- belongs to A
CC3  RZCO  <---- belongs to B
CC4  MANE   <---- belongs to A
CC4  MPPE  <---- belongs to B
CC5  TUTU   <---- belongs to A
CC5  TQAS  <---- belongs to B

我的想法是以如下方式组合数据帧：

df1 = pd.DataFrame({'A':['CINO','KONO','ROLO','MANE','TUTU']})
df2 = pd.DataFrame({'B':['NION','PONO','RZCO','MPPE','TQAS']})

        C
CC1  CINO   <---- belongs to A
CC1  NION  <---- belongs to B
CC2  KONO   <---- belongs to A    
CC2  PONO  <---- belongs to B
CC3  ROLO   <---- belongs to A
CC3  RZCO  <---- belongs to B
CC4  MANE   <---- belongs to A
CC4  MPPE  <---- belongs to B
CC5  TUTU   <---- belongs to A
CC5  TQAS  <---- belongs to B

如您所见，B列的项目位于A列的行之间。 注意行的命名方式，每对行都有相同的名称

你能给我推荐一个使用一些内置功能实现这一目标的聪明方法吗？

你可以使用：

pd.concat(
    [df1, df2], axis=1
).stack().reset_index(1, drop=True).to_frame('C').rename(index='CC{}'.format)

        C
CC0  CINO
CC0  NION
CC1  KONO
CC1  PONO
CC2  ROLO
CC2  RZCO
CC3  MANE
CC3  MPPE
CC4  TUTU
CC4  TQAS

df = pd.concat([df1.rename(columns={'A':'C'}),
                df2.rename(columns={'B':'C'})], keys=[1,2])
       .sort_index(level=[1,0])
       .reset_index(level=0, drop=True)
df.index = 'CC' + df.index.astype(str)
print (df)
        C
CC0  CINO
CC0  NION
CC1  KONO
CC1  PONO
CC2  ROLO
CC2  RZCO
CC3  MANE
CC3  MPPE
CC4  TUTU
CC4  TQAS

您可以使用：

df = pd.concat([df1.rename(columns={'A':'C'}),
                df2.rename(columns={'B':'C'})], keys=[1,2])
       .sort_index(level=[1,0])
       .reset_index(level=0, drop=True)
df.index = 'CC' + df.index.astype(str)
print (df)
        C
CC0  CINO
CC0  NION
CC1  KONO
CC1  PONO
CC2  ROLO
CC2  RZCO
CC3  MANE
CC3  MPPE
CC4  TUTU
CC4  TQAS