Description: Bokeh customization refers to the various options offered by the Bokeh data visualization library in Python to tailor graphs and visualizations to the specific needs of the user. Bokeh allows developers and data analysts to modify visual aspects such as colors, line styles, marker types, and labels, as well as the arrangement of elements in the interface. This flexibility is essential for creating visualizations that are not only informative but also aesthetically pleasing and aligned with the visual identity of a brand or project. Additionally, Bokeh supports real-time interaction, meaning users can dynamically customize their visualizations, adjusting parameters and seeing results instantly. This customization capability extends to the creation of interactive dashboards, where multiple visualizations can be integrated and manipulated simultaneously. In summary, Bokeh customization is a powerful tool that enables users to create unique and effective visualizations, facilitating the communication of complex data in a clear and engaging manner.
