Besides matplotlib, there are other powerful data visualization toolkits based on Python. While we cannot dive deeper into these libraries, we would like to at least briefly introduce them in this session.
Bokeh is a project by Peter Wang, Hugo Shi, and others at Continuum Analytics. It aims to provide elegant and engaging visualizations in the style of D3.js. The library can quickly and easily create interactive plots, dashboards, and data applications. Here are a few differences between matplotlib and Bokeh:
Bokeh achieves cross-platform ubiquity through IPython's new model of in-browser client-side rendering
Bokeh uses a syntax familiar to R and ggplot users, while matplotlib is more familiar to Matlab users
Bokeh has a coherent vision to build a ggplot-inspired in-browser interactive visualization tool, while Matplotlib has a coherent vision of focusing on 2D cross-platform graphics.
The basic steps for creating plots with Bokeh are as follows...
