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setup.py
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setup.py
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# -*- coding: utf-8 -*-
from distutils.core import setup
from pandas_ta.core import version
long_description = "An easy to use Python 3 Pandas Extension with 100+ Technical Analysis Indicators. Can be called from a Pandas DataFrame or standalone like TA-Lib."
setup(
name ="pandas_ta",
packages =['pandas_ta', 'pandas_ta.candles', 'pandas_ta.momentum', 'pandas_ta.overlap', 'pandas_ta.performance', 'pandas_ta.statistics', 'pandas_ta.trend', 'pandas_ta.volatility', 'pandas_ta.volume'],
version =version,
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'],
'test': ['ta-lib'],
},
)