setup.py

"""A  based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""

# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path

here = path.abspath(path.dirname(__file__))

# Get the long description from the relevant file
# with open(path.join(here, 'DESCRIPTION.rst'), encoding='utf-8') as f:
#     long_description = f.read()

setup(
    name='pandas-visualize',

    # Versions should comply with PEP440.  For a discussion on single-sourcing
    # the version across setup.py and the project code, see
    # https://packaging.python.org/en/latest/single_source_version.html
    version='0.1',

    description='A tool to visualize pandas DataFrames within an Ipython Notebook',
    long_description= 'A tool to visualize pandas DataFrames within an Ipython Notebook',

    # The project's main homepage.
    url='https://github.com/rsdenijs/Pandas-Visualize',

    # Choose your license
    license='MIT',

    # See https://pypi.python.org/pypi?%3Aaction=list_classifiers
    classifiers=[

        'Development Status :: 3 - Alpha',

        # Indicate who your project is intended for
        'Intended Audience :: Developers',
        'Topic :: Software Development :: Data Science',

        # Pick your license as you wish (should match "license" above)
        'License :: OSI Approved :: MIT License',

        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.2',
        'Programming Language :: Python :: 3.3',
        'Programming Language :: Python :: 3.4',
    ],

    # What does your project relate to?
    keywords='pandas ipython',

    # You can just specify the packages manually here if your project is
    # simple. Or you can use find_packages().
    packages=find_packages(),
)