Skip to main content

date package for parsing dates

Project description

Package Info

Date Extraction library built on top of Python native date libraries to support business vocabularies.

Installation

 pip install datelibrary-javis

Usage

 import datelibrary
 from datelibrary.dates import DateData
 text = "my sales from june to aug'
 date_obj = DateData(text)
 print(date_obj.comile_dates())
 >>>['2018-06-01', '2018-08-31'] #list of strings

Scope

current date = 5th November 2019

current day = Tuesday

Type Parsed Date
ytd (year to date) ['2019-01-01', '2019-11-05']
mtd (month to date) ['2019-11-01', '2019-11-05']
qtd (quarter to date) ['2019-10-01', '2019-11-05']
l3m (last 3 months) ['2019-07-01', '2019-10-30']
june to august ['2019-06-01', '2019-08-31']
june 2018 to august 2018 ['2018-06-01', '2018-08-31']
june 2018 ['2018-06-01']
1/6/2019 to 2/6/2019 ['2019-06-01', '2019-06-02']
last month ['2019-10-01', '2019-10-31']
last week ['2019-10-27', '2019-10-03']
last year ['2019-01-01', '2019-01-31']

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

datelibrary-javis-0.0.5.tar.gz (5.7 kB view hashes)

Uploaded Source

Built Distribution

datelibrary_javis-0.0.5-py3-none-any.whl (7.0 kB view hashes)

Uploaded Python 3

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