setup.py

#!/usr/bin/env python
from setuptools import setup
import setuptools

#
# with open('README.md') as file:
#     long_description = file.read()

setup(
    name='file_cache',
    version='0.2.6',
    description='Cache dataframe with local hd5 file, and reduce the memory by convert type for number',
    long_description='File_cache can help you cache the pandas result with hd5 file, You can get demo from: https://github.com/Flyfoxs/file_cache/blob/master/demo.ipynb',
    url='https://github.com/Flyfoxs/file_cache',
    author='Felix Li',
    author_email='lilao@163.com',
    license='MIT',
    classifiers=[
        "Programming Language :: Python :: 3",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
    ],

    install_requires=[
#         "termcolor>=1.1",
#         "Pillow==6.2.2",  # torchvision currently does not work with Pillow 7
#         "yacs>=0.1.6",
#         "tabulate",
        "easydict",
#         "nibabel",
#         "pydicom",
#         "cloudpickle",
        "matplotlib",
        "tqdm>4.29.0",
#         "tensorboard",
#         "fvcore",
#         "future",  # used by caffe2
#         "pydot",  # used to save caffe2 SVGs
#         "SimpleITK",
#         "plotly",
        "monthdelta",
    ],
    keywords='pandas file cache python file_cache',
    packages=setuptools.find_packages(),
)