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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


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