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44 lines (40 loc) · 1.72 KB
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from setuptools import setup, find_packages
from codecs import open
from os import path
# The directory containing this file
HERE = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(HERE, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
# This call to setup() does all the work
setup(
name="streamlit_controllerDF",
version="0.1.3",
description="A solid base for controlling your data frame, getting quick metrics, and data visualizations using streamlit, pandas, numpy and matplotlib.",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/joshjetson/SCDF/",
author="Joshua Dario",
author_email="joshuajdr@gmail.com",
license="MIT",
classifiers=[
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"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",
"Programming Language :: Python :: 3.11",
"Operating System :: OS Independent"
],
packages=find_packages(),
include_package_data=True,
install_requires=["streamlit","pandas","matplotlib","numpy"],
keywords=['Python','streamlit','dataframe','data frame','data set',
'visualization','automatic','widgets','automation','machine learning',
'quick','controller','controllerdf','controllerDF','streamlit controller','streamlit data frame',
'streamlit controllerDF']
)