在两个不同的pandas数据帧之间循环和匹配字符串

import pandas as pd

df1 = pd.DataFrame({'Col1': ['A', 'B', 'C'], 'Col2': ['X1', 'X2', 'X3']})
df2 = pd.DataFrame({'Col3': ['A1', 'B2', 'C3'], 'Col4': ['Y1', 'Y2', 'Y3']})

for index, row in df1.iterrows():
    match = df2[df2['Col3'] == row['Col1']]
    if not match.empty:
        print("String Match Found!")
        print("df1:", row['Col1'], row['Col2'])
        print("df2:", match['Col3'].values[0], match['Col4'].values[0])