Visualization libraries in Python

Visualization is one of the important activities that is used to track certain processes and the results of your application. We used matplotlib in Chapter 6,Advance Feature Engineering and NLP Algorithms, as well as in other chapters.

Apart from matplotlib, we can use various visualization libraries:

• matplotlib: It is simple to use and very useful
• bokeh: It provides customized themes and charts
• pygal: You can make cool graphs and charts with this

You can use the following links to refer to each of the libraries. All libraries have written documentation so you can check them and start making your own charts.

You can find more on matplotlib at https://matplotlib.org/.

You can find more on Bokeh at http://bokeh.pydata.org/en/latest/docs/gallery.html.

You can find documentation about pygal at http://pygal.org/en/stable/documentation/index.html.