Metadata-Version: 2.1
Name: osmnx
Version: 0.12
Summary: Retrieve, model, analyze, and visualize OpenStreetMap street networks and other spatial data
Home-page: https://github.com/gboeing/osmnx
Author: Geoff Boeing
Author-email: boeing@usc.edu
License: MIT
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: descartes (>=1.1)
Requires-Dist: geopandas (>=0.7)
Requires-Dist: matplotlib (>=3.2)
Requires-Dist: networkx (>=2.4)
Requires-Dist: numpy (>=1.18)
Requires-Dist: pandas (>=1.0)
Requires-Dist: pyproj (>=2.6)
Requires-Dist: requests (>=2.23)
Requires-Dist: Rtree (>=0.9)
Requires-Dist: Shapely (>=1.7)
Provides-Extra: balltree
Requires-Dist: scikit-learn (>=0.22) ; extra == 'balltree'
Provides-Extra: folium
Requires-Dist: folium (>=0.10) ; extra == 'folium'
Provides-Extra: kdtree
Requires-Dist: scipy (>=1.3) ; extra == 'kdtree'


**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`_.

.. _GitHub: https://github.com/gboeing/osmnx
.. _OSMnx: http://geoffboeing.com/2016/11/osmnx-python-street-networks/
.. _OSMnx\: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks: http://geoffboeing.com/publications/osmnx-complex-street-networks/


