读取csv文件中的最后一行或具有最新值的行

import csv
from datetime import datetime

with open('file.csv', 'r') as file:
    reader = csv.reader(file)
    data = list(reader)

last_row = data[-1]

latest_row = max(data, key=lambda row: datetime.strptime(row[timestamp_column_index], '%Y-%m-%d %H:%M:%S'))

import csv
from datetime import datetime

def get_latest_row(csv_file):
    with open(csv_file, 'r') as file:
        reader = csv.reader(file)
        data = list(reader)
        
        # 获取最后一行
        last_row = data[-1]
        
        # 获取具有最新值的行
        timestamp_column_index = 0  # 假设日期或时间戳在第一列
        latest_row = max(data, key=lambda row: datetime.strptime(row[timestamp_column_index], '%Y-%m-%d %H:%M:%S'))
        
    return latest_row

latest_row = get_latest_row('file.csv')
print(latest_row)