Revision eb39dff4aaf726d33b6b7aa9f71c50f3e9b9f012 authored by gboeing on 08 May 2019, 21:08:31 UTC, committed by gboeing on 08 May 2019, 21:08:31 UTC
1 parent 813fe20
setup.py
# OSMnx
# See full license in LICENSE.txt
from setuptools import setup
# provide a long description using reStructuredText
long_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`_.
.. _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/
"""
# list of classifiers from the PyPI classifiers trove
classifiers = ['Development Status :: 5 - Production/Stable',
'License :: OSI Approved :: MIT License',
'Operating System :: OS Independent',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: GIS',
'Topic :: Scientific/Engineering :: Visualization',
'Topic :: Scientific/Engineering :: Physics',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Information Analysis',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7']
with open('requirements.txt') as f:
requirements_lines = f.readlines()
install_requires = [r.strip() for r in requirements_lines]
# now call setup
setup(name='osmnx',
version='0.10',
description='Retrieve, model, analyze, and visualize OpenStreetMap street networks and other spatial data',
long_description=long_description,
classifiers=classifiers,
url='https://github.com/gboeing/osmnx',
author='Geoff Boeing',
author_email='g.boeing@northeastern.edu',
license='MIT',
platforms='any',
packages=['osmnx'],
install_requires=install_requires,
extras_require={'folium':['folium>=0.6'],
'kdtree':['scipy>=1.1'],
'balltree':['scikit-learn>=0.19']})
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