beautifulplots 0.1.7

Python plotting library for ebeautiful yet easy and sophisticated matplotlib based plots. WoCompatible with Pandas and Seaborn plots.

beautifulplots

Python plotting library for beautiful, easy, and sophisticated matplotlib based plots. Compatible with Matplotlib graphs, such as Pandas and Seaborn.

Motivation and Goal

Python, along with Pandas, and Nummpy are the data scientist analysis tool of choice. Correspondingly, data visualization is required for analysis, investigation, and insight. In this endeavor, Matplotlib based plotting libraries are reputedly the most powerful and customizable. However, creating graphs for analysis, though necessary, often diverges from the primary goal. Furthermore, Graphs resulting from data science analysis inevitably populate reports, presentations, and even interactive web graphics. After some experience, use case after use case requires very similar supporting code.

The end goal of the beautifulplots plotting library is to package graphing functions for the easy generation of beautiful graphs without the burden of distracting code.

Installation

$ pip install beautifulplots

Usage

• See usage examples in examples.ipynb (Jupyter notebook) and readthedocs beatifulplots readthedocs.

Feature Requests and Issues

Feature requests and issues: please provide feedback and suggestions for improvements or issues via github issues new issue.

License

beautifulplots was created by Alberto Gutierrez. It is licensed under the terms of the MIT license.

Credits

beautifulplots package setup with cookiecutter and the py-pkgs-cookiecutter template.