Metadata-Version: 2.1
Name: dateparse-tobiasli
Version: 1.1.1
Summary: Package for converting string timestamps into datetimes.
Home-page: https://github.com/tobiasli/dateparse
Author: Tobias Litherland
Author-email: tobiaslland@gmail.com
License: UNKNOWN
Description: # dateparse
        [![Build Status](https://travis-ci.org/tobiasli/dateparse.svg?branch=master)](https://travis-ci.org/tobiasli/dateparse)<br/>
        [![Coverage Status](https://coveralls.io/repos/tobiasli/dateparse/badge.svg?branch=master&service=github)](https://coveralls.io/github/tobiasli/dateparse?branch=master)<br/>
        [![PyPI version](https://badge.fury.io/py/dateparse-tobiasli.svg)](https://badge.fury.io/py/dateparse-tobiasli)<br/>
        
        Dateparser for creating datetime objects from arbitrarily formated date strings. Primary support for Norwegian date formats.
        
        New version is a complete refactor:
        * Much faster parsing. 
        * Reduced pattern complexity. 
        * Improved matching rutine. 
        * Some reduced functionality with less used time formats (centuries, relative dates, text based). 
        
        ## Install
        
        ```
        pip install dateparse-tobiasli
        ```
        ## Usage
        ```python
        import datetime
        from dateparse import DateParser
        parser = DateParser()
        
        # Dates with alpha components:
        dt = parser.parse('5. januar 2015')
        print(dt == [datetime.datetime(2015, 1, 5, 0, 0)])
        
        # Multiple dates from same string:
        dt = parser.parse('1/12/2014 kl 12, 11.12.2015 kl 14')
        print(dt == [datetime.datetime(2014, 12, 1, 12, 00), datetime.datetime(2015, 12, 11, 14, 00)])
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
