Retrieve, model, analyze, and visualize OpenStreetMap street networks and other spatial data
Project description
OSMnx is a package to easily download, model, project, visualize, and analyze complex street networks from OpenStreetMap in Python with NetworkX.
You can get a city’s or neighborhood’s walking, driving, or biking network with a single line of Python code. Then you can easily visualize cul-de-sacs or one-way streets, plot shortest-path routes, or calculate stats like intersection density, average node connectivity, betweenness centrality, etc.
Citation info: Boeing, G. 2017. “OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks.” Computers, Environment and Urban Systems 65, 126-139. doi:10.1016/j.compenvurbsys.2017.05.004
See the examples and demos on GitHub or read more about OSMnx.
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| Filename, size | File type | Python version | Upload date | Hashes |
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| Filename, size osmnx-0.11.4-py2.py3-none-any.whl (77.7 kB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View hashes |
| Filename, size osmnx-0.11.4.tar.gz (75.6 kB) | File type Source | Python version None | Upload date | Hashes View hashes |
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