OSMnx is a Python package for quickly and easily downloading, modeling, analyzing, and visualizing street networks and other spatial data from OpenStreetMap. Here’s a quick round-up of recent updates to OSMnx. I’ll try to keep this up to date as a single reference source. A lot of new features have appeared in the past few months, and people have been asking about what’s new and what’s possible. You can:
- Download and model street networks or other networked infrastructure anywhere in the world with a single line of code
- Download any other spatial geometries, place boundaries, building footprints, or points of interest as a GeoDataFrame
- Download by city name, polygon, bounding box, or point/address + network distance
- Download drivable, walkable, bikeable, or all street networks
- Download node elevations and calculate edge grades (inclines)
- Impute missing speeds and calculate graph edge travel times
- Simplify and correct the network’s topology to clean-up nodes and consolidate intersections
- Fast map-matching of points, routes, or trajectories to nearest graph edges or nodes
- Save networks to disk as shapefiles, geopackages, and GraphML
- Save/load street network to/from a local .osm xml file
- Conduct topological and spatial analyses to automatically calculate dozens of indicators
- Calculate and visualize street bearings and orientations
- Calculate and visualize shortest-path routes that minimize distance, travel time, elevation, etc
- Visualize street networks as a static map or interactive leaflet web map
- Visualize travel distance and travel time with isoline and isochrone maps
- Plot figure-ground diagrams of street networks and building footprints
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