如何在python中匹配两个dataFrame

import pandas as pd

# 创建两个DataFrame
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'c']})
df2 = pd.DataFrame({'A': [1, 2, 4], 'C': ['x', 'y', 'z']})

# 使用merge()函数进行匹配，根据'A'列进行合并
merged_df = pd.merge(df1, df2, on='A')

print(merged_df)

   A  B  C
0  1  a  x
1  2  b  y

import pandas as pd

# 创建两个DataFrame
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'c']})
df2 = pd.DataFrame({'A': [1, 2, 4], 'C': ['x', 'y', 'z']})

# 使用join()方法进行匹配，根据'A'列进行合并
joined_df = df1.join(df2.set_index('A'), on='A')

print(joined_df)

   A  B    C
0  1  a    x
1  2  b    y
2  3  c  NaN