A good introductory tutorial on how to use plotnine. It is part
of the data visualization
track from kaggle's free online course.
Compares how plotnine and ggpy match up in API and output
with ggplot2. If you have used ggpy and wondering what to
expect of plotnine, this is a good place to start.
A list of plots for exploratory data analysis and how they can be created using different libraries.
Goes over the main aspects of plotnine, showing how to use the library.
An introduction to "grammar of graphics", and how to use plotnine. This is part
of the Data Analysis and Visualization in Python for Ecologists course from
Data Carpentry
A translation of the visualisation chapters from "R for Data Science" to Python using Plotnine and Pandas.
This is a comprehensive introduction on the Grammar of Graphics with plotnine.
