pandas数据帧检查列是否包含另一列中存在的字符串

import pandas as pd

# 创建一个示例数据帧
data = {'col1': ['apple', 'banana', 'orange'],
        'col2': ['apple pie', 'banana bread', 'orange juice']}
df = pd.DataFrame(data)

# 检查col2中的字符串是否包含col1中的字符串
df['col1_in_col2'] = df['col2'].str.contains(df['col1'], regex=False)

print(df)

      col1           col2  col1_in_col2
0    apple      apple pie          True
1   banana   banana bread          True
2   orange  orange juice          True

import pandas as pd

# 创建一个示例数据帧
data = {'col1': ['apple', 'banana', 'orange'],
        'col2': ['apple pie', 'banana bread', 'orange juice']}
df = pd.DataFrame(data)

# 定义一个函数来检查字符串是否包含指定的子字符串
def check_string(row):
    return row['col1'] in row['col2']

# 使用apply方法将函数应用到数据帧的相应列上
df['col1_in_col2'] = df.apply(check_string, axis=1)

print(df)

      col1           col2  col1_in_col2
0    apple      apple pie          True
1   banana   banana bread          True
2   orange  orange juice          True