Python:如何处理带日期的.CSV？

import pandas as pd

df = pd.read_csv('data.csv', parse_dates=['date_column'])

df['year'] = df['date_column'].dt.year
df['month'] = df['date_column'].dt.month
df['day'] = df['date_column'].dt.day

df = df.sort_values('date_column')

df_filtered = df[df['date_column'] > '2022-01-01']

df_grouped = df.groupby(df['date_column'].dt.year)['value_column'].sum()

import csv
from datetime import datetime

with open('data.csv', 'r') as file:
    reader = csv.reader(file)
    header = next(reader)  # 读取CSV文件的头部
    date_index = header.index('date_column')  # 找到日期列的索引

    for row in reader:
        date_str = row[date_index]
        date = datetime.strptime(date_str, '%Y-%m-%d')  # 解析日期字符串为datetime对象
        # 进行日期相关的操作