您需要在公共列上连接两个数据框，并将其从结果数据框中删除。示例代码如下所示：

import pandas as pd

A = pd.read_excel("A.xlsx")
B = pd.read_excel("B.xlsx")

merged_df = pd.merge(A, B, left_on='Candidate_driving license_number', right_on='Candidate_driving license_number')

merged_df = merged_df.rename(columns={'Masked_Candidate_driving license_number': 'Masked_id'})

# write the final dataframe to an excel file
merged_df.to_excel("A_backup.xlsx", index=False)

示例：

A Excel file:
  Candidate_name  Candidate_driving_license_number Other_columns
0            abc                      12345678        value1
1            bcd                      45687348        value2
2            cde                      83487587        value3
3            def                      98765432        value4
4            ghi                      12348756        value5

B Excel file:
  Candidate_driving_license_number  Masked_Candidate_driving_license_number Other_columns
0                      12345678                                  82378973        value1
1                      45687348                                  37698262        value2
2                      83487587                                  98374927        value3
3                      98766321                                  12347896        value4
4                      12341234                                  98347562        value5

Output:
  Candidate_name  Candidate_driving_license_number Other_columns  Masked_id
0            abc                      12345678        value1    82378973
1            bcd                      45687348        value2    37698262
2            cde                      83487587        value3    98374927
3            def                      98765432        value4         NaN
4            ghi                      12348756        value5         NaN

您可能还需要删除包含敏感信息的列