Skip to main content

Creates a manipulable date string in the form of 'YYYYmmdd'.

Project description

DateString

Creates a manipulable date string in the form of 'YYYYmmdd'.

Usage

  • creates date string from various inputs.
>>> ds = DateString('20180624')
>>> ds
'20180624'

>>> ds = DateString('2018/06/24')
>>> ds
'20180624'

>>> ds = DateString('2018-06-24')
>>> ds
'20180624'

>>> ds = DateString('2018年6月24日')
>>> ds
'20180624'

>>> ds = DateString(datetime.datetime(2018, 6, 24))
>>> ds
'20180624'

>>> today = DateString.today()
>>> yesterday = DateString.today(-1)
>>> tomorrow = DateString.today(1)
  • supports date calculation.
>>> DateString('2018/6/24') + 90
'20180922'

>>> DateString('2018-09-22') - 90
'20180624'

>>> DateString('2018-09-22') - '2018/06/24'
90

>>> DateString('2018/9/22') - datetime.datetime(2018, 6, 24)
90

>>> DateString('20180922') - DateString('2018-6-24')
90

>>> DateString('2018年9月22日') - pd.Timestamp('2018-06-24')
90
  • supports date comparison.
>>> DateString('20180922') == '2018/9/22'
True

>>> DateString('20180922') == '2018/6/24'
False

>>> DateString('20180922') >= '2018/6/24'
True

>>> DateString('20180922') >= '2019/9/22'
False
  • supports date-related properties.
>>> ds = DateString('2018-06-24')
>>> ds.year
2018
>>> ds.month
6
>>> ds.day
24
>>> ds.dayofweek
6
>>> ds.dayofyear
175
>>> ds.is_leap_year
False
>>> ds.is_weekday
False
>>> ds.is_weekend
True
  • compatible with pandas.date_range().
>>> begin_ds = DateString('2019-01-01')
>>> end_ds = DateString('2019/1/3')
>>> pd.date_range(begin_ds, end_ds)
DatetimeIndex(['2019-01-01', '2019-01-02', '2019-01-03'], dtype='datetime64[ns]', freq='D')
  • supports date string reformatting.
>>> ds = DateString('20180624')
>>> ds.reformat()
'2018-06-24'
>>> ds.reformat(delimiter='/')
'2016/06/24'

Project details


Release history Release notifications

Download files

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

Files for date-string, version 0.2.1
Filename, size File type Python version Upload date Hashes
Filename, size date_string-0.2.1.tar.gz (3.1 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page