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setup.py
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setup.py
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# -*- coding: utf-8 -*-
import os
from setuptools import setup, find_packages
os.environ["MPLCONFIGDIR"] = "."
NAME = 'hypertools'
VERSION = '0.8.0'
AUTHOR = 'Contextual Dynamics Lab'
AUTHOR_EMAIL = '[email protected]'
URL = 'https://github.com/ContextLab/hypertools'
DOWNLOAD_URL = URL
LICENSE = 'MIT'
REQUIRES_PYTHON = '>=3.6'
PACKAGES = find_packages(exclude=('images', 'examples', 'tests'))
with open('requirements.txt', 'r') as f:
REQUIREMENTS = f.read().splitlines()
DESCRIPTION = 'A python package for visualizing and manipulating high-dimensional data'
LONG_DESCRIPTION = """\
HyperTools is a library for visualizing and manipulating high-dimensional data in Python. It is built on top of matplotlib (for plotting), seaborn (for plot styling), and scikit-learn (for data manipulation).
For sample Jupyter notebooks using the package: https://github.com/ContextLab/hypertools-paper-notebooks
For more examples: https://github.com/ContextLab/hypertools/tree/master/examples
Some key features of HyperTools are:
- Functions for plotting high-dimensional datasets in 2/3D.
- Static and animated plots
- Simple API for customizing plot styles
- A set of powerful data manipulation tools including hyperalignment, k-means clustering, normalizing and more.
- Support for lists of Numpy arrays, Pandas dataframes, String, Geos or mixed lists.
"""
CLASSIFIERS = [
'Intended Audience :: Science/Research',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Topic :: Scientific/Engineering :: Visualization',
'Topic :: Multimedia :: Graphics',
'Operating System :: POSIX',
'Operating System :: Unix',
'Operating System :: MacOS'
]
setup(
name=NAME,
version=VERSION,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
author=AUTHOR,
author_email=AUTHOR_EMAIL,
url=URL,
download_url=DOWNLOAD_URL,
license=LICENSE,
python_requires=REQUIRES_PYTHON,
packages=PACKAGES,
install_requires=REQUIREMENTS,
classifiers=CLASSIFIERS
)