如何在不替换整行的情况下从CSV更新表中的特定列？

import csv

def update_csv_column(csv_file, column_name, new_values):
    # 读取CSV文件
    with open(csv_file, 'r') as file:
        reader = csv.DictReader(file)
        rows = list(reader)

    # 定位特定列
    column_index = reader.fieldnames.index(column_name)

    # 更新特定列
    for row, new_value in zip(rows, new_values):
        row[column_index] = new_value

    # 保存更新后的数据
    with open(csv_file, 'w', newline='') as file:
        writer = csv.DictWriter(file, fieldnames=reader.fieldnames)
        writer.writeheader()
        writer.writerows(rows)

# 示例用法
csv_file = 'data.csv'
column_name = 'Age'
new_values = ['25', '30', '35']  # 与CSV文件中的行数对应

update_csv_column(csv_file, column_name, new_values)