Description:
peartree 0.6.4
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.
Installation
pip install peartree
Usage
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/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)
Examples
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
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
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