合并两个DataFrames -多索引ValueError

import pandas as pd

# 创建示例DataFrame
arrays1 = [
    ['A', 'A', 'B', 'B'],
    ['one', 'two', 'one', 'two']
]
tuples1 = list(zip(*arrays1))
index1 = pd.MultiIndex.from_tuples(tuples1, names=['first', 'second'])
df1 = pd.DataFrame({'value': [10, 20, 30, 40]}, index=index1)

arrays2 = [
    ['A', 'A', 'C', 'C'],
    ['one', 'two', 'one', 'two']
]
tuples2 = list(zip(*arrays2))
index2 = pd.MultiIndex.from_tuples(tuples2, names=['first', 'second'])
df2 = pd.DataFrame({'value': [50, 60, 70, 80]}, index=index2)

# 尝试合并
try:
    result = pd.concat([df1, df2])
except ValueError as e:
    print(f"Error: {e}")

# 解决方法：重置索引
df1_reset = df1.reset_index()
df2_reset = df2.reset_index()

# 合并重置索引后的DataFrame
result = pd.concat([df1_reset, df2_reset])
print(result)