关于#python#的问题，请各位专家解答！

import pandas as pd

# 读取原始表格数据
df = pd.read_csv("data.csv")

# 创建新的空dataframe用于存放转换后的数据
new_df = pd.DataFrame(columns=["gender", "name", "email_domain", "work_age", "email", "total_profession"])

# 循环遍历每一行数据进行处理
for index, row in df.iterrows():
    # 获取每一行中的数据
    gender = row["gender"]
    name = row["name"]
    birthday = pd.to_datetime(row["birthday"])
    startwork = pd.to_datetime(row["startwork"])
    income = row["Income"]

    # 计算工龄
    work_age = startwork.year - birthday.year

    # 提取邮箱域名
    email_domain = ""
    if "@" in name:
        email_domain = name.split("@")[1]

    # 提取邮箱
    email = ""
    if "@" in name:
        email = name

    # 判断专业
    profession = ""
    if work_age >= 10:
        profession = "化学"
    elif work_age >= 5:
        profession = "美术"
    elif work_age >= 2:
        profession = "统计学"
    else:
        profession = "政治学"

    # 将处理后的数据插入新的dataframe中
    new_df.loc[index] = [gender, name, email_domain, work_age, email, profession]

# 打印转换后的数据
print(new_df)