使用pandas连接具有不同列的2个多索引数据帧

import pandas as pd

# 创建两个多索引数据帧
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}, index=pd.MultiIndex.from_tuples([('x', 'a'), ('y', 'b'), ('z', 'c')], names=['Index1', 'Index2']))
df2 = pd.DataFrame({'C': [7, 8, 9], 'D': [10, 11, 12]}, index=pd.MultiIndex.from_tuples([('x', 'd'), ('y', 'e'), ('z', 'f')], names=['Index1', 'Index2']))

# 使用pd.concat()函数连接两个多索引数据帧
df_concat = pd.concat([df1, df2], axis=1)

# 打印连接后的结果
print(df_concat)

               A    B  C   D
Index1 Index2               
x      a      1  4.0  7  10
y      b      2  5.0  8  11
z      c      3  6.0  9  12
x      d      NaN  NaN  7  10
y      e      NaN  NaN  8  11
z      f      NaN  NaN  9  12