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'] |
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