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setup.py
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61 lines (43 loc) · 1.88 KB
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from setuptools import setup, find_packages # Always prefer setuptools over distutils
from codecs import open # To use a consistent encoding
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the relevant file
with open(path.join(here, 'DESCRIPTION.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name = 'heppyplot',
# Versions should comply with PEP440
version = '0.1.0.dev0',
description = 'Plot histogrammed data with special support for HEP-related needs',
long_description = long_description,
url = 'https://github.com/ebothmann/heppyplot',
author = 'Enrico Bothmann',
author_email = 'enoix@web.de',
license = 'MIT',
classifiers=[
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers for possible entries
# How mature is this project? Common values are
# 1 - Planning
# 2 - Pre-Alpha
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 2 - Pre-Alpha',
# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Physics',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: MIT License',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 2.7',
],
keywords='plot hep high energy physics cross section histogram bin binned data',
packages=find_packages(exclude=['contrib', 'docs', 'tests*']),
install_requires = ['matplotlib', 'numpy', 'pandas', 'pyaml', 'seaborn'],
scripts = ['scripts/heppyplot']
# entry_points = {
# 'console_scripts': ['heppyplot=heppyplot:main'],
# },
)