DataFrame Table Styles
Understand how to apply custom table visualizations to modify the appearance of DataFrames.
We'll cover the following...
Introduction
One feature that often goes unnoticed is the customization of the appearance of DataFrames and Series
objects, which allows us to present them in Jupyter Notebooks and web applications in a visually appealing way. The basic idea behind styling is that a user modifies the way the output is presented while the underlying data structure is preserved. ...