Plotting with Pandas, Styles and ggplot in Python

I’ve been busy creating a new web page and gradually adding my previous articles to my Github website where you will soon be able to browse through them by topic and find supporting code and demos, too. Here are three articles on Data Vizualisation that will feature there and seem to me to go nicely together.

I like using Pandas for visualization, it is simple and easily styled. However, if you prefer the R language’s ggplot2, there is a Python library that will interest you. It’s called Plotnine and implement much of ggplot2 on top of the matplotlib library.

Plotting with Pandas: An Introduction to Data Visualization

If you are a Data Scientist or Data Journalist, being able to visualize your data gives you the ability to better understand and communicate it.

How to Style Pandas Plots and Charts

Customize your Pandas plots with off-the shelf style sheets - or design your own

ggplot: Grammar of Graphics in Python with Plotnine

A powerful graphics library for great visualizations