Operaciones básicas de fecha y hora

import numpy as np
import pandas as pd
import os
import datetime
data = pd.read_csv("abc.csv")  # 1 3 7 是 预测列
data = data.fillna(1)
print(data.columns)
data['start_dates'] = pd.to_datetime(data['start_dates'])
data['end_dates'] = pd.to_datetime(data['end_dates'])

# # 将日期格式化为 "YYYY/MM/DD" 的形式
# df['start_dates'] = df['start_dates'].dt.strftime('%Y/%m/%d')
# 
# df['end_dates'] = pd.to_datetime(df['end_dates'])
# # 将日期格式化为 "YYYY/MM/DD" 的形式
# df['end_dates'] = df['end_dates'].dt.strftime('%Y/%m/%d')

# start_dates=pd.to_datetime(data['start_dates'])
# print(start_dates)
# end_dates=pd.to_datetime(data['end_dates'])
# print(end_dates)
# # if start_date[0]<end_dates[0]:
# #     print('----------------')
# # temp_start_date=[]
# 
# now = datetime.datetime.now()
# # 前一小时
# a =