Bokeh is an interactive, high-quality, versatile, focused, and more powerful visualization library for large-volume and streaming data. It offers interactive, rich charts, plots, layouts, and dashboards for modern web browsers. Its output can be mapped to a notebook, HTML, or server.
Both the Matplotlib and Bokeh libraries have different intentions. Matplotlib focuses on static, simple, and fast visualization while Bokeh focuses on highly interactive, dynamic, web-based, and quality visualization. Matplotlib is generally used for publication images while Bokeh is for a web audience. In the remaining sections of this chapter, we will learn basic plotting using Bokeh. We can create more interactive visuals for data exploration using Bokeh.
The simplest way to install the Bokeh library is with the Anaconda distribution package. To install Bokeh, use the following command:
conda install bokeh
We can also install it using pip. To install Bokeh using pip...
