Skip to main content

Utility to convert strings like "201301-201302" to start and end datetime tuples

Project description

Create meaningful date/time ranges using strings like e.g. “201301” or “201301-201302”.

Install

pip install daterangestr

Quickstart

The daterangestr has exactly one function, to_dates, which converts a date string of a certain, simple format to a datetime tuple.

Example:

>>> from daterangestr import to_dates
>>> (start, end) = to_dates("20131014-20131018")
>>> print start, end
2013-10-14 00:00:00 2013-10-18 23:59:59

Supported string formats

Rules

  1. Dates can be given in format YYYY, YYYYMM or YYYYMMDD.

  2. The date string can contain either only one date or two dates, seperated by a dash.

  3. If the dash seperator is present and only one date is given, the other date is assumed to be the minimum possible or the maximum possible date.

Examples

2012

Jan 1 2012 - Dec 31 2012 (whole year)

201201

Jan 1 2012 - Jan 31 2012 (whole month)

2012101

Jan 1 2012 - Jan 1 2012 (whole day)

2011-2011

same as “2011”, which means whole year 2012

2011-2012

Jan 1 2011 - Dec 31 2012 (two years)

201104-2012

Apr 1 2011 - Dec 31 2012

201104-201203

Apr 1 2011 - March 31 2012

20110408-2011

Apr 8 2011 - Dec 31 2011

20110408-201105

Apr 8 2011 - May 31 2011

20110408-20110507

Apr 8 2011 - May 07 2011

2011-

Jan 1 2012 - Dec 31 9999 (unlimited)

201104-

Apr 1 2011 - Dec 31 9999 (unlimited)

20110408-

Apr 8 2011 - Dec 31 9999 (unlimited)

-2011

Jan 1 0000 - Dez 31 2011

-201104

Jan 1 0000 - Apr 30, 2011

-20110408

Jan 1 0000 - Apr 8, 2011

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

daterangestr-0.0.3.tar.gz (3.0 kB view details)

Uploaded Source

File details

Details for the file daterangestr-0.0.3.tar.gz.

File metadata

File hashes

Hashes for daterangestr-0.0.3.tar.gz
Algorithm Hash digest
SHA256 d807858d517f3b73ff63508ee6783514a5ce4fb91bf2ee5453de20e6c7093e9d
MD5 22a61e85902016b1d5b08caae1957050
BLAKE2b-256 4fade5f62e9ae1396f71280cb892340edaf0e6495ab2e190e17dc0a10b343f92

See more details on using hashes here.

Supported by

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