Basic Example is given in the DateFinder.py file itself!
from DateExtractor import DateFinder
df = DateFinder()
# This `find_dates(text)` returns a list of datetime objects taking a string/buffer as a parameter
date_list = df.find_dates('<foobar> (oct 2013 to december 2014) </foobar>')
print date_list
# prints: [datetime.datetime(2013, 10, 1, 0, 0), datetime.datetime(2014, 12, 1, 0, 0)]
print DateFinder.get_period(date_list[0], date_list[1], in_years=True)
from DateExtractor import demo
demo()
| TEXT | DATE | DURATION(year) |
|------------------------------------------------+------------------------------+------------------|
| worked from 10 may 00 to present | ['10-05-2000', '04-01-2017'] | 16.65 |
| 10/July | ['01-07-2010'] | |
| July/99 to July/99 | ['01-07-1999', '01-07-1999'] | 0 |
| 10/2016 | ['01-10-2016'] | |
| 10-July-00 | ['10-07-2000'] | |
| 10-July 00 - 1-June 02 | ['10-07-2000', '01-06-2002'] | 1.89 |
| July-2017 | ['01-07-2017'] | |
| 10 July, 2000 | ['10-07-2000'] | |
| 10th July, 2000 | ['10-07-2000'] | |
| July, 2000 | ['01-07-2000'] | |
| July 15 | ['01-07-2015'] | |
| 04 2000 02 2001 | ['01-04-2000', '01-02-2001'] | 0.84 |
| April 2014 | ['01-04-2014'] | |
| Duration: May 2013 - June 2014 | ['01-05-2013', '01-06-2014'] | 1.08 |
| Accenture(Oct 2012 - Present) | ['01-10-2012', '04-01-2017'] | 4.26 |
| Barclays 1/2/12 - 12/12/13 | ['02-01-2012', '12-12-2013'] | 1.94 |
| Worked from June'14 to June'15 | ['01-06-2014', '01-06-2015'] | 1 |
| June'13 - till date | ['01-06-2013', '04-01-2017'] | 3.59 |
| period Nov 2014 October 2016 | ['01-11-2014', '01-10-2016'] | 1.92 |
| period : October 2012 Nov 2014 | ['01-10-2012', '01-11-2014'] | 2.08 |
| worked duration may 2011 december 2012 | ['01-05-2011', '01-12-2012'] | 1.59 |
| may'12 - december'13 | ['01-05-2012', '01-12-2013'] | 1.59 |
| december 12 may 17 | ['01-12-2012', '01-05-2017'] | 4.41 |
| <foobar> (oct 2013 to december 2014) </foobar> | ['01-10-2013', '01-12-2014'] | 1.17 |