# -*- coding: utf-8 -*- from distutils.core import setup long_description = "An easy to use Python 3 Pandas Extension with 130+ Technical Analysis Indicators. Can be called from a Pandas DataFrame or standalone like TA-Lib. Correlation tested with TA-Lib." setup( name="pandas_ta", packages=[ "pandas_ta", "pandas_ta.candles", "pandas_ta.cycles", "pandas_ta.momentum", "pandas_ta.overlap", "pandas_ta.performance", "pandas_ta.statistics", "pandas_ta.trend", "pandas_ta.utils", "pandas_ta.volatility", "pandas_ta.volume" ], version=".".join(("0", "2", "45b")), description=long_description, long_description=long_description, author="Kevin Johnson", author_email="appliedmathkj@gmail.com", url="https://github.com/twopirllc/pandas-ta", maintainer="Kevin Johnson", maintainer_email="appliedmathkj@gmail.com", # install_requires=["pandas"], download_url="https://github.com/twopirllc/pandas-ta.git", keywords=["technical analysis", "trading", "python3", "pandas"], license="The MIT License (MIT)", classifiers=[ "Development Status :: 4 - Beta", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Operating System :: OS Independent", "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", "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", "sklearn", "statsmodels"], "test": ["ta-lib"], }, )