grplot: lazy statistical data visualization
=======================================

grplot is a Python visualization library based on numpy, scipy, matplotlib, seaborn, squarify, pandas, and ipython. It supports human laziness in drawing complete and attractive statistical graphs in just one line of code.


Documentation
-------------

Documentation at [grplot repository](https://github.com/ghiffaryr/grplot) includes a [Documentation Notebook](https://colab.research.google.com/drive/1jkOoWooJgrr9xgEF6KWyNi56_Naqum_g) and other useful information.


Dependencies
------------

grplot supports Python 3.6+.

Installation requires [numpy](https://numpy.org), [scipy](https://www.scipy.org), [matplotlib](https://matplotlib.org), [pandas](https://pandas.pydata.org), and [ipython](https://ipython.readthedocs.io/). 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

The latest stable release (and required dependencies) can be installed from Conda:

    conda install -c conda-forge 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.



grplot: lazy statistical data visualization. 

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grplot

grplot: lazy statistical data visualization

Documentation

Dependencies

Installation

Development

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