Metadata-Version: 2.1
Name: datelibrary-javis
Version: 0.0.9
Summary: date package for parsing dates
Home-page: https://github.com/pypa/sampleproject
Author: javis
Author-email: admin@javis.in
License: UNKNOWN
Description: # Package Info
        
        Date Extraction library built on top of Python native date libraries to support business vocabularies.
        
        # Installation
        ```
         pip install datelibrary-javis
        ```
        
        # Usage
        
        ```python
         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'] |
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
