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Partridge is python library for working with GTFS feeds using pandas DataFrames.

Project description

=========
Partridge
=========


.. image:: https://img.shields.io/pypi/v/partridge.svg
:target: https://pypi-hypernode.com/pypi/partridge

.. image:: https://img.shields.io/travis/remix/partridge.svg
:target: https://travis-ci.org/remix/partridge


Partridge is python library for working with `GTFS <https://developers.google.com/transit/gtfs/>`__ feeds using `pandas <https://pandas.pydata.org/>`__ DataFrames.

The implementation of Partridge is heavily influenced by our experience at `Remix <https://www.remix.com/>`__ ingesting, analyzing, and debugging thousands of GTFS feeds from hundreds of agencies.

At the core of Partridge is a dependency graph rooted at ``trips.txt``. Disconnected data is pruned away according to this graph when reading the contents of a feed. The root node can optionally be filtered to create a view of the feed specific to your needs. It's most common to filter a feed down to specific dates (``service_id``), routes (``route_id``), or both.

.. figure:: dependency-graph.png
:alt: dependency graph


Usage
-----

.. code:: python

import datetime
import partridge as ptg

path = 'path/to/sfmta-2017-08-22.zip'

service_ids_by_date = ptg.read_service_ids_by_date(path)

service_ids = service_ids_by_date[datetime.date(2017, 9, 25)]

feed = ptg.feed(path, view={
'trips.txt': {
'service_id': service_ids,
'route_id': '12300', # 18-46TH AVENUE
},
})

assert set(feed.trips.service_id) == service_ids
assert list(feed.routes.route_id) == ['12300']

# Buses running the 18 - 46th Ave line use 88 stops (on September 25, 2017, at least).
assert len(feed.stops) == 88

Features
--------

- Surprisingly fast :)
- Load only what you need into memory
- Built-in support for resolving service dates
- Easily extended to support fields and files outside the official spec
(TODO: document this)
- Handle nested folders and bad data in zips
- Predictable type conversions

Installation
------------

.. code:: console

pip install partridge

Thank You
---------

I hope you find this library useful. If you have suggestions for
improving Partridge, please open an `issue on
GitHub <https://github.com/remix/partridge/issues>`__.


=======
History
=======

0.4.0 (2017-12-10)
===================

* Add support for Python 2.7. Thanks @danielsclint!


0.3.0 (2017-10-12)
===================

* Fix service date resolution for raw_feed. Previously raw_feed considered all days of the week from calendar.txt to be active regardless of 0/1 value.


0.2.0 (2017-09-30)
===================

* Add missing edge from fare_rules.txt to routes.txt in default dependency graph.


0.1.0 (2017-09-23)
------------------

* First release on PyPI.

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