在pandas中使用apply() with loop修改数据帧

import pandas as pd

data = {'Name': ['John', 'Emma', 'Mike', 'Sophia'],
        'Age': [25, 28, 30, 35],
        'Salary': [50000, 60000, 70000, 80000]}
df = pd.DataFrame(data)

def increase_salary(salary):
    return salary * 1.1

df['Salary'] = df['Salary'].apply(increase_salary)

import pandas as pd

data = {'Name': ['John', 'Emma', 'Mike', 'Sophia'],
        'Age': [25, 28, 30, 35],
        'Salary': [50000, 60000, 70000, 80000]}
df = pd.DataFrame(data)

def increase_salary(salary):
    return salary * 1.1

df['Salary'] = df['Salary'].apply(increase_salary)