Metadata-Version: 1.1
Name: peartree
Version: 0.1.1
Summary: Peartree is a library for converting GTFS to directed graphs.
Home-page: https://github.com/kuanb/peartree
Author: Kuan Butts
Author-email: kuanbutts@gmail.com
License: MIT license
Description-Content-Type: UNKNOWN
Description: ===========
        Peartree 🍐🌳
        ===========
        
        .. image:: https://img.shields.io/travis/kuanb/peartree.svg
                :target: https://travis-ci.org/kuanb/peartree
        
        Peartree is a library for converting `GTFS <https://developers.google.com/transit/gtfs/>`__ feed schedules into a representative directed network graph. The tool uses `Partridge <https://github.com/remix/partridge>`__ to convert the target operator schedule data into `Pandas <https://github.com/pandas-dev/pandas>`__ dataframes and then `NetworkX <https://networkx.github.io/>`__ to hold the manipulated schedule data as a directed multigraph.
        
        .. figure:: examples/example.gif
           :alt: graph loader animation
        
        Above, an example of multiple Bay Area transit operators being incrementally loaded into Peartree.
        
        Usage
        -----
        
        .. code:: python
        
            import peartree as pt
        
            path = 'path/to/actransit_gtfs.zip'
        
            # Automatically identify the busiest day and
            # read that in as a Partidge feed
            feed = pt.get_representative_feed(path)
        
            # Set a target time period to
            # use to summarize impedance
            start = 7*60*60  # 7:00 AM
            end = 10*60*60  # 10:00 AM
            
            # Converts feed subset into a directed
            # network multigraph
            G = pt.load_feed_as_graph(feed, start, end)
        
        Installation
        ------------
        
        Note: Still a WIP. Current version on PyPI not good...
        
        .. code:: console
        
            pip install peartree
        
        
Keywords: peartree
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
