Visualization is a universal tool for investigating and communicating results of computational studies, and it is hardly an exaggeration to say that the end product of nearly all computations – be it numeric or symbolic – is a plot or a graph of some sort. It is when visualized in graphical form that knowledge and insights can be most easily gained from computational results. Visualization is therefore a tremendously important part of the workflow in all fields of computational studies.
In the scientific computing environment for Python, there are a number of high-quality ...
