Skip to content


Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?


Failed to load latest commit information.
Latest commit message
Commit time

peartree 🍐🌳

peartree is a library for converting GTFS feed schedules into a representative directed network graph. The tool uses Partridge to convert the target operator schedule data into Pandas dataframes and then NetworkX to hold the manipulated schedule data as a directed multigraph.

Above, an example of multiple Bay Area transit operators being incrementally loaded into peartree.


pip install peartree


See a full notebook at this gist to see a simple, step-by-step iPython Notebook pulling in an AC Transit GTFS feed and converting it to a NetworkX graph.

import peartree as pt

path = 'path/to/'

# 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)


I've yet to produce a full how-to guide for this library, but will begin to populate this section with any blog posts or notebooks that I or others produce, that include workflows using peartree.

Calculating betweeness centrality with Brooklyn bus network

Combining a peartree transit network and an OpenStreetMap walk network

Generating comparative acyclic route graphs

Coalescing transit network graphs and spectral clustering methods

Exploratory graph analysis with betweenness and load centrality