如何从pandas dataframe中的列中剥离文本

import pandas as pd
import re

# 创建一个示例DataFrame
data = {'Name': ['John Smith', 'Jane Doe', 'Mike Johnson'],
        'Age': [30, 25, 35],
        'Email': ['john@example.com', 'jane@example.com', 'mike@example.com']}
df = pd.DataFrame(data)

# 使用字符串处理方法剥离文本
df['First Name'] = df['Name'].str.split().str[0]
df['Last Name'] = df['Name'].str.split().str[1]

# 使用正则表达式剥离文本
df['Domain'] = df['Email'].apply(lambda x: re.findall(r'@([\w.]+)', x)[0])

# 打印结果
print(df)

           Name  Age              Email First Name Last Name     Domain
0    John Smith   30   john@example.com       John     Smith  example.com
1     Jane Doe    25   jane@example.com       Jane       Doe  example.com
2  Mike Johnson   35   mike@example.com       Mike   Johnson  example.com