# -*- coding: utf-8 -*-
from distutils.core import setup

long_description = "An easy to use Python 3 Pandas Extension with 80+ Technical Analysis Indicators. Can be called from a Pandas DataFrame or standalone like TA-Lib."

setup(
    name ="pandas_ta",
    packages =['pandas_ta', 'pandas_ta.momentum', 'pandas_ta.overlap', 'pandas_ta.performance', 'pandas_ta.statistics', 'pandas_ta.trend', 'pandas_ta.volatility', 'pandas_ta.volume'],
    version ="0.1.37b",
    description =long_description,
    long_description =long_description,
    author ="Kevin Johnson",
    author_email ="[email protected]",
    url ="https://github.com/twopirllc/pandas-ta",
    maintainer ="Kevin Johnson",
    maintainer_email ="[email protected]",
    # install_requires=['numpy','pandas'],
    download_url ="https://github.com/twopirllc/pandas-ta.git",
    keywords =['technical analysis', 'python3', 'pandas'],
    license ="The MIT License (MIT)",
    classifiers =[
        'Programming Language :: Python :: 3.7',
        'Development Status :: 4 - Beta',
        'License :: OSI Approved :: MIT License',
        'Natural Language :: English',
        'Intended Audience :: Developers',
        'Intended Audience :: Financial and Insurance Industry',
        'Intended Audience :: Science/Research',
        'Topic :: Office/Business :: Financial',
        'Topic :: Office/Business :: Financial :: Investment',
        'Topic :: Scientific/Engineering :: Information Analysis',
    ],
    package_data={
        'data': ['data/*.csv'],
    },
    install_requires =['pandas'],

    # List additional groups of dependencies here (e.g. development dependencies).
    # You can install these using the following syntax, for example:
    # $ pip install -e .[dev,test]
    extras_require = {
        'dev': ['ta-lib', 'jupyterlab'],
        'test': ['ta-lib'],
    },
)