DataFrame Table Styles
Explore how to apply styling to pandas DataFrames using the Styler object to enhance their visual presentation. Learn to customize colors, fonts, borders, and backgrounds while preserving underlying data, enabling more appealing displays in Jupyter Notebooks and web applications.
We'll cover the following...
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. ...