如何将listA column1值匹配并替换为与ListB column2匹配的ListB column1值，就像我们在vlookup中所做的那样

import pandas as pd

def replace_values(listA, listB):
    dfA = pd.DataFrame(listA, columns=['column1'])
    dfB = pd.DataFrame(listB, columns=['column2', 'column1'])

    merged_df = pd.merge(dfA, dfB, left_on='column1', right_on='column2', how='left')
    merged_df['column1'] = merged_df['column1_y'].fillna(merged_df['column1_x'])
    merged_df.drop(['column2', 'column1_x', 'column1_y'], axis=1, inplace=True)

    return merged_df.values.tolist()

# 示例用法
listA = [['A'], ['B'], ['C']]
listB = [['A', '1'], ['B', '2'], ['D', '3']]

result = replace_values(listA, listB)
print(result)