Metadata-Version: 2.1
Name: grplot
Version: 0.5.2
Summary: grplot: lazy statistical data visualization
Home-page: https://github.com/ghiffaryr/grplot
Download-URL: https://github.com/ghiffaryr/grplot
Author: Ghiffary Rifqialdi
Author-email: grifqialdi@gmail.com
Maintainer: Ghiffary Rifqialdi
Maintainer-email: grifqialdi@gmail.com
License: BSD (3-clause)
Project-URL: Bug Tracker, https://github.com/ghiffaryr/grplot/issues
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
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: License :: OSI Approved :: BSD License
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Multimedia :: Graphics
Classifier: Operating System :: OS Independent
Classifier: Framework :: Matplotlib
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

grplot: lazy statistical data visualization
=======================================

grplot is a Python visualization library based on numpy, scipy, matplotlib, seaborn, squarify, and pandas. It supports human laziness in drawing complete and attractive statistical graphs.


Documentation
-------------

Online documentation is available at [grplot repository](https://github.com/ghiffaryr/grplot).

The docs include an [example](https://github.com/ghiffaryr/grplot/blob/main/doc/example/example.ipynb) and other useful information.

Offline documentation can be accesed through Python:

	help(grplot)


Dependencies
------------

grplot supports Python 3.6+.

Installation requires [numpy](https://numpy.org), [scipy](https://www.scipy.org), [matplotlib](https://matplotlib.org), [seaborn](https://seaborn.pydata.org), and [pandas](https://pandas.pydata.org). Some functions will optionally use [statsmodels](https://www.statsmodels.org) if it is installed.


Installation
------------

The latest stable release (and required dependencies) can be installed from PyPI:

    pip install grplot


Development
-----------

grplot development takes place on Github: https://github.com/ghiffaryr/grplot/tree/dev

Please submit bugs that you encounter to the [issue tracker](https://github.com/ghiffaryr/grplot/issues) with a reproducible example demonstrating the problem.



