from distutils.core import setup

PACKAGE_NAME = 'spark_eda'

setup(
    name=PACKAGE_NAME,  # How you named your package folder
    packages=[PACKAGE_NAME],  # Chose the same as "name"
    version='0.0.2',  # Start with a small number and increase it with every change you make
    license='MIT',  # Chose a license from here: https://help.github.com/articles/licensing-a-repository
    description='Exploratory data analysis for pyspark',  # Give a short description about your library
    author='Matan Avitan',  # Type in your name
    author_email='matan13av@gmail.com',  # Type in your E-Mail
    url='https://github.com/MatanAvitan',  # Provide either the link to your github or to your website
    download_url='https://github.com/MatanAvitan/spark_eda/archive/refs/tags/0.0.2.tar.gz',
    keywords=['pyspark', 'data science', 'data analysis'],  # Keywords that define your package best
    install_requires=[
        'numpy',
        'pandas',
        'pyspark'
    ],
    classifiers=[
        'Development Status :: 3 - Alpha',
        # Chose either "3 - Alpha", "4 - Beta" or "5 - Production/Stable" as the current state of your package
        'Intended Audience :: Developers',  # Define that your audience are developers
        'Topic :: Software Development :: Build Tools',
        'License :: OSI Approved :: MIT License',  # Pick a license
        'Programming Language :: Python :: 3',  # Specify which pyhton versions that you want to support
        'Programming Language :: Python :: 3.4',
        'Programming Language :: Python :: 3.5',
        'Programming Language :: Python :: 3.6',
        'Programming Language :: Python :: 3.7',
        'Programming Language :: Python :: 3.8',
        'Programming Language :: Python :: 3.9',
        'Programming Language :: Python :: 3.10',
    ],
)
