Python: Visualization

Thursday. February 13, 2020 - 1 min

Overview

• Matplotlib: low level, provides lots of freedom
• Seaborn: high-level interface, great default styles
• ggplot: based on R’s ggplot2
• Plotly: can create interactive plots
• Dash: building analytical web applications

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matplotlib

matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Despite being over a decade old, it’s still the most widely used library for plotting in the Python community. It was designed to closely resemble MATLAB, a proprietary programming language developed in the 1980s.

• Sample plots in matplotlib
• The Lifecycle of a Plot
• Github::matplotlib-tutorial

seaborn

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

• Example gallery
• Tutorial

ggplot

ggplot is a plotting system for Python based on R’s ggplot2 and the Grammar of Graphics.

dash & plotly

plotly’s Python graphing library makes interactive, publication-quality graphs.
dash is a Python framework for building analytical web applications. No JavaScript required.

• Dash User Guide
• Plotly User Guide
• How to Build a Reporting Dashboard using Dash and Plotly

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Reference

• Python Graph Gallery
• 10 Useful Python Data Visualization Libraries for Any Discipline
• Intro to Matplotlib, Pandas Visualization, Seaborn, ggplot, Plotly

Before plotting:

• Tidy data
• dplyr and pandas

Zhijian Liu

A foodaholic

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