It would be a waste of time and energy to just use a web browser as a command line. The primary purpose of Jupyter is its usage as a lab notebook, which requires the ability to display visual information. To this end, an important feature of Jupyter is its seamless integration with the graphical capabilities of a browser.
This section will provide examples of using the plotting software from Chapter 7, Seeing Is Believing – Visualization in Jupyter. For the most part, displaying plots in Jupyter is easier done than said, with only minor modifications required to specify output to the notebook rather than IPython.
The key to using matplotlib in a notebook is the
%matplotlib inline magic. It should be the first line in ...