mirror of
https://github.com/wassname/pandas-ta.git
synced 2026-06-27 16:10:07 +08:00
Kevin Johnson
47 lines
1.9 KiB
Python
47 lines
1.9 KiB
Python
# -*- coding: utf-8 -*-
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from distutils.core import setup
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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."
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setup(
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name ="pandas_ta",
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packages =['pandas_ta', 'pandas_ta.momentum', 'pandas_ta.overlap', 'pandas_ta.performance', 'pandas_ta.statistics', 'pandas_ta.trend', 'pandas_ta.volatility', 'pandas_ta.volume'],
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version ="0.1.56b",
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description =long_description,
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long_description =long_description,
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author ="Kevin Johnson",
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author_email ="appliedmathkj@gmail.com",
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url ="https://github.com/twopirllc/pandas-ta",
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maintainer ="Kevin Johnson",
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maintainer_email ="appliedmathkj@gmail.com",
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# install_requires=['numpy','pandas'],
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download_url ="https://github.com/twopirllc/pandas-ta.git",
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keywords =['technical analysis', 'python3', 'pandas'],
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license ="The MIT License (MIT)",
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classifiers =[
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'Programming Language :: Python :: 3.7',
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'Programming Language :: Python :: 3.8',
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'Development Status :: 4 - Beta',
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'License :: OSI Approved :: MIT License',
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'Natural Language :: English',
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'Intended Audience :: Developers',
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'Intended Audience :: Financial and Insurance Industry',
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'Intended Audience :: Science/Research',
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'Topic :: Office/Business :: Financial',
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'Topic :: Office/Business :: Financial :: Investment',
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'Topic :: Scientific/Engineering :: Information Analysis',
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],
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package_data={
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'data': ['data/*.csv'],
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},
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install_requires =['pandas'],
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# List additional groups of dependencies here (e.g. development dependencies).
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# You can install these using the following syntax, for example:
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# $ pip install -e .[dev,test]
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extras_require = {
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'dev': ['ta-lib', 'jupyterlab'],
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'test': ['ta-lib'],
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},
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)
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