Skip to main content

calculator duration days from one time to another

Project description

两个时间点间实际工作时间(去除周六日、节假日)

Package Travis License README

两个时间点间实际工作时间(去除周六日、节假日)。 支持 2004年 至 2021年,包括 2020年 的春节延长。

安装

pip install workday-duration

详细使用示例请参考代码tests中的测试用例

样例1:时间段包含周六日

from datetime import datetime

from workday_duration.utils import duration_days


start_datetime = datetime.strptime('2020-07-31 12:0:0',"%Y-%m-%d %H:%M:%S")
end_datetime = datetime.strptime('2020-08-03 12:0:0', "%Y-%m-%d %H:%M:%S")
work_days, total_days = duration_days(start_datetime, end_datetime)  # 区间全部在休息日)
assert 1 == work_days, "8月1号,2号是周六日,所以实际工作时间为1天"
assert total_days == 3, "绝对时间间隔为3天"

样例2:时间区间包含节假日

from datetime import datetime

from workday_duration.utils import duration_days


start_datetime = datetime.strptime('2020-09-30 12:00:00',"%Y-%m-%d %H:%M:%S")
end_datetime = datetime.strptime('2020-10-02 12:00:00', "%Y-%m-%d %H:%M:%S")
work_days, total_days = duration_days(start_datetime, end_datetime) 
assert 0.5 == work_days, "10.1开始为国庆节,所以实际工作时间只有0.5天"
assert total_days == 2

样例3:带时区的时间间隔(自动转为北京时间后计算)

from workday_duration.utils import duration_days2

work_days, total_days = duration_days2('2020-09-30 16:00:00 +0000', '2020-10-02 04:00:00 +0000', '%Y-%m-%d %H:%M:%S %z') 
assert 0 == work_days, "10.1开始为国庆节,所以实际这个区间都在休假"
assert total_days == 1.5

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

workday-duration-1.0.3.tar.gz (4.2 kB view details)

Uploaded Source

File details

Details for the file workday-duration-1.0.3.tar.gz.

File metadata

  • Download URL: workday-duration-1.0.3.tar.gz
  • Upload date:
  • Size: 4.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.3

File hashes

Hashes for workday-duration-1.0.3.tar.gz
Algorithm Hash digest
SHA256 bb75fb728cb81fb5ec552b8fe5f46699257a91f0dab8256a7c02fba38f529a6f
MD5 d0e005951f854f2ca91f501a66d0e728
BLAKE2b-256 828d17ccc24d93bb5c4665e57682395fa3f936911e913882559f55a16109664b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page