Pandas 基于两列匹配，将数据帧的某些列映射到另一列

我有两个数据帧，如下所示

df1：

df2：

根据上面的内容，我想根据扇区、绘图匹配将Usage和Type列从df2添加到df1

预期产出：

Sector     Plot    Price     Count   Usage    Type
A          1       250       2       R        Land
A          2       100       1       C        Villa
A          3       250       3       R        Plot

我试过下面的代码

df3 = pd.merge(df1, df2, left_on = ['Sector', 'Plot'], 
                     right_on = ['Sector', 'Plot'], how = 'inner')

添加，因为在第二个数据帧中重复：

df3 = pd.merge(df1, 
               df2.drop_duplicates(['Sector', 'Plot']), 
               on = ['Sector', 'Plot'])
print (df3)
  Sector  Plot  Price  Count Usage   Type
0      A     1    250      2     R   Land
1      A     2    100      1     C  Villa
2      A     3    250      3     R   Plot

添加，因为在第二个数据帧中重复：

df3 = pd.merge(df1, 
               df2.drop_duplicates(['Sector', 'Plot']), 
               on = ['Sector', 'Plot'])
print (df3)
  Sector  Plot  Price  Count Usage   Type
0      A     1    250      2     R   Land
1      A     2    100      1     C  Villa
2      A     3    250      3     R   Plot

df3 = pd.merge(df1, 
               df2.drop_duplicates(['Sector', 'Plot']), 
               on = ['Sector', 'Plot'])
print (df3)
  Sector  Plot  Price  Count Usage   Type
0      A     1    250      2     R   Land
1      A     2    100      1     C  Villa
2      A     3    250      3     R   Plot