如何在python中合并2个带有用户和时间戳的表

import pandas as pd

table1 = pd.DataFrame({'用户': ['A', 'B', 'C'],
                       '时间戳': ['2022-01-01 10:00:00', '2022-01-02 12:00:00', '2022-01-03 15:00:00'],
                       '数据1': [1, 2, 3]})
table2 = pd.DataFrame({'用户': ['A', 'B', 'D'],
                       '时间戳': ['2022-01-01 11:00:00', '2022-01-02 13:00:00', '2022-01-04 16:00:00'],
                       '数据2': [4, 5, 6]})

merged_table = pd.merge(table1, table2, on=['用户', '时间戳'], how='outer')

print(merged_table)

  用户                  时间戳  数据1  数据2
0  A  2022-01-01 10:00:00  1.0  4.0
1  B  2022-01-02 12:00:00  2.0  5.0
2  C  2022-01-03 15:00:00  3.0  NaN
3  D  2022-01-04 16:00:00  NaN  6.0