如何获取与另一列的pandas df列中的子字符串匹配的字符串？

import pandas as pd

data = {'column1': ['apple', 'banana', 'cat', 'dog', 'elephant'],
        'column2': ['app', 'na', 'ca', 'do', 'ant']}
df = pd.DataFrame(data)

matches = df[df['column1'].str.contains('|'.join(df['column2']))]

print(matches)

import pandas as pd

data = {'column1': ['apple', 'banana', 'cat', 'dog', 'elephant'],
        'column2': ['app', 'na', 'ca', 'do', 'ant']}
df = pd.DataFrame(data)

matches = df[df['column1'].str.contains('|'.join(df['column2']))]
print(matches)

  column1 column2
0   apple     app
1  banana      na
3     dog      do
4 elephant     ant