Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data ...

In my last few articles, I looked at several different Python modules that are useful for doing computations. But, what tools are available to help you analyze the results from those computations?

It is possible to set a logarithmic scale for one or both axes. This functionality is in fact only one application of a more general transformation system in Matplotlib. Each of the axes' scales are ...

That line is only for jupyter notebooks, if you are using another editor, you'll use: plt.show() at the end of all your plotting commands to have the figure pop up in another window. There are two ...