python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# 将时间戳转换成格式化日期
def timestamp_to_str(timestamp=None, format='%Y-%m-%d %H:%M:%S'):if timestamp:time_tuple = time.localtime(timestamp)  # 把时间戳转换成时间元祖result = time.strftime(format, time_tuple)  # 把时间元祖转换成格式化好的时间return resultelse:return time.strptime(format)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 = 86400for i in range(day_nums):today_time -= oneday_timetoday_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_endnormal_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']