Metadata-Version: 2.1
Name: xplotter
Version: 0.0.3
Summary: Explore visual insights from data in an easy and intituitive way with few lines of code.
Home-page: https://github.com/ThiagoPanini/xplotter
Author: Thiago Panini
Author-email: thipanini94@gmail.com
License: MIT
Keywords: Plots,visual analysis,exploratory data analysis,python graphics
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Framework :: Jupyter
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: Portuguese (Brazilian)
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.0.0
Description-Content-Type: text/markdown
Requires-Dist: matplotlib (==3.2.1)
Requires-Dist: pandas (==1.1.5)
Requires-Dist: seaborn (==0.11.1)

<h1 align="center">
  <a href="https://pypi.org/project/xplotter/"><img src="https://i.imgur.com/5XFP1Ha.png" height=400, weight=400, alt="xplotter logo"></a>
</h1>

<div align="center">
  <strong>:bar_chart: Gathering insights from data in a complete EDA process components :chart_with_upwards_trend:</strong>
</div>
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<div align="center">  

  ![Release](https://img.shields.io/badge/release-ok-brightgreen)
  [![PyPI](https://img.shields.io/pypi/v/xplotter?color=blueviolet)](https://pypi.org/project/xplotter/)
  ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/xplotter?color=green)
  ![PyPI - Status](https://img.shields.io/pypi/status/xplotter)

</div>
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Python library created for making the Exploratory Data Analysis process so much easier! With `xplotter`, data scientists or data analysists can use a vast number of functions for plotting, customizing and extracting insights from data with very few lines of codes. The exploratory step is, at least, a key step on every data project and it's very important to understand your data before take any action. The use cases are almost infinity!


<div align="center">
  <strong><i> Work in progress </i></strong>
</div>
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