获取最近N天工作日列表、节假日列表

# 获取最近两周工作日列表、节假日列表
import datetime
import chinese_calendar
import time
import pandas as pd
from 格式化日期与时间戳互相转换 import timestamp_to_str

def get_normal_special_day_list(day_nums=20):
    normal_day_list_start = []
    special_day_list_start = []
    normal_day_list_end = []
    special_day_list_end = []
    # 获取当天凌晨时间
    today = datetime.date.today() 
    today_time = int(time.mktime(today.timetuple()))
    oneday_time = 86400
    for i in range(day_nums):
        today_time -= oneday_time
        today_time_str = timestamp_to_str(today_time)
        today_end_time_str = timestamp_to_str(today_time + oneday_time - 1)
        t = pd.Timestamp(today_time_str)
        if chinese_calendar.is_holiday(t.date()) == True:
            special_day_list_start.append(today_time_str)
            special_day_list_end.append(today_end_time_str)
        else:
            normal_day_list_start.append(today_time_str)
            normal_day_list_end.append(today_end_time_str)
    return normal_day_list_start, special_day_list_start, normal_day_list_end, special_day_list_end

normal_day_list_start, special_day_list_start, normal_day_list_end, special_day_list_end = get_normal_special_day_list()
print(normal_day_list_start)
print(normal_day_list_end)
print(special_day_list_start)
print(special_day_list_end)


# 结果如下:
# ['2022-03-18 00:00:00', '2022-03-17 00:00:00', '2022-03-16 00:00:00', '2022-03-15 00:00:00', '2022-03-14 00:00:00', '2022-03-11 00:00:00', '2022-03-10 00:00:00', '2022-03-09 00:00:00', '2022-03-08 00:00:00', '2022-03-07 00:00:00', '2022-03-04 00:00:00', '2022-03-03 00:00:00', '2022-03-02 00:00:00', '2022-03-01 00:00:00']
# ['2022-03-18 23:59:59', '2022-03-17 23:59:59', '2022-03-16 23:59:59', '2022-03-15 23:59:59', '2022-03-14 23:59:59', '2022-03-11 23:59:59', '2022-03-10 23:59:59', '2022-03-09 23:59:59', '2022-03-08 23:59:59', '2022-03-07 23:59:59', '2022-03-04 23:59:59', '2022-03-03 23:59:59', '2022-03-02 23:59:59', '2022-03-01 23:59:59']
# ['2022-03-20 00:00:00', '2022-03-19 00:00:00', '2022-03-13 00:00:00', '2022-03-12 00:00:00', '2022-03-06 00:00:00', '2022-03-05 00:00:00']
# ['2022-03-20 23:59:59', '2022-03-19 23:59:59', '2022-03-13 23:59:59', '2022-03-12 23:59:59', '2022-03-06 23:59:59', '2022-03-05 23:59:59']