Jupyter is a web-based IDE. Thus, whenever you print/display a DataFrame in Jupyter, it is rendered using HTML and CSS. This means you can style your output in many different ways. To do so, use the Styling API of Pandas. Here, you can make many different modifications to a DataFrame's styler object (π±π³.ππππΉπ²). As a result, the DataFrame will be displayed with the specified styling.
Stop Analysing Raw Tables. Use Styling Instead!
Stop Analysing Raw Tables. Use Stylingβ¦
Stop Analysing Raw Tables. Use Styling Instead!
Jupyter is a web-based IDE. Thus, whenever you print/display a DataFrame in Jupyter, it is rendered using HTML and CSS. This means you can style your output in many different ways. To do so, use the Styling API of Pandas. Here, you can make many different modifications to a DataFrame's styler object (π±π³.ππππΉπ²). As a result, the DataFrame will be displayed with the specified styling.