python计算两日期之间工作日时长

更新时间:2023-07-13 03:32:27 阅读: 评论:0

python计算两⽇期之间⼯作⽇时长
手机发烫1. 原因:使⽤dateutil的rrule时,计算速度⽐较慢
def axx():
from dateutil import rrule徐永红
received_time = datetime.datetime.strptime('2019-04-21 23:00:00', '%Y-%m-%d %H:%M:%S')
complete_time = datetime.datetime.strptime('2019-04-22 01:00:00', '%Y-%m-%d %H:%M:%S')
workdays = [x for x in range(7) if x not in [5, 6]]
time_period = ule(rrule.MINUTELY, dtstart=received_time, until=complete_time, byweekday=workdays).count()
print(time_period)
2. 尝试使⽤pandas的bdate_range,但是发现只统计⼯作⽇天数,即便不⾜1天也是按1天算的,不符合需求,因为我要分钟
def xxa():
import pandas as pd
date = pd.bdate_range('2019-04-21 23:00:00', '2019-04-22 01:00:00', freq='min')
minutes = len(date)
print(minutes)
print(minutes/(60*60))
3. 从stackoverflow找到⼀个⽅法
def xax():
from business_duration import businessDuration
import pandas as pd
received_time = pd.to_datetime('2019-04-21 23:00:00')
complete_time = pd.to_datetime('2019-04-22 01:15:00')
period = businessDuration(received_time, complete_time, unit='min')
print(period)
4. ⾃⼰使⽤pandas写的,还需测试山西省国家税务
def aaa():
import pandas as pd
# test ca 1
# received_time = '2019-04-21 23:00:00'
# complete_time = '2019-04-22 01:00:00'
# received_time = '2019-04-19 23:00:00'
# complete_time = '2019-04-20 01:00:00'
# test ca 2
# received_time = '2019-04-18 23:00:00'
# complete_time = '2019-04-20 01:00:00'
# received_time = '2019-04-21 23:00:00'
# complete_time = '2019-04-23 01:00:00'
# test ca 3惊弓之鸟的主人公是谁
# received_time = '2019-04-21 23:00:00'
# complete_time = '2019-04-24 01:00:00'
# received_time = '2019-04-18 23:00:00'描写冬天的
# complete_time = '2019-04-20 01:00:00'
# test ca 5
received_time = '2019-04-19 23:00:00'
complete_time = '2019-04-22 01:00:00'
received_date = pd.to_datetime(received_time)
complete_date = pd.to_datetime(complete_time)
date_period = pd.bdate_range(received_time, complete_time)
if date_period[0] == date_period[-1]:
鼻子英语if date_period[0] > received_date:
start = date_period[0]
end = complete_date
el:
start = received_date
end = date_period[0] + datetime.timedelta(days=1)
day_time = len(pd.date_range(start, end, freq='min')) - 1
print('Workdays:' + str(day_time) + ' minutes')
el:
if (complete_date - date_period[-1]).days > 0:
end = date_period[-1] + datetime.timedelta(days=1)
el:
end = complete_date
if received_date < date_period[0]:
start = date_period[0]
el:
省的多音字start = received_date
received_per = pd.date_range(start, date_period[0] + datetime.timedelta(days=1), freq='min')        complete_per = pd.date_range(date_period[-1], end, freq='min')
middle_time = (len(date_period) - 2) * 1440
days_time = len(received_per) + middle_time + len(complete_per) - 2
print('Workdays:' + str(days_time) + ' minutes')平地木

本文发布于:2023-07-13 03:32:27,感谢您对本站的认可!

本文链接:https://www.wtabcd.cn/fanwen/fan/82/1093664.html

版权声明:本站内容均来自互联网,仅供演示用,请勿用于商业和其他非法用途。如果侵犯了您的权益请与我们联系,我们将在24小时内删除。

标签:统计   符合   手机   山西省   发烫   国家税务
相关文章
留言与评论(共有 0 条评论)
   
验证码:
推荐文章
排行榜
Copyright ©2019-2022 Comsenz Inc.Powered by © 专利检索| 网站地图