For simplicity, plt.show will also be left out of the remainder.

Lets say we fitted an quadratic function to the first 10 prime numbers, and want to check how good our fit matches our data.

In addition, the label we gave to the plot statement is in LaTeX format, making it very pretty indeed.

It is also possible to use it in an object-oriented manner, which allows for more separation between several plots and figures.

Lets say we have two sets of data we want to plot next to eachother, rather than in the same figure.

Matplotlib has several layers of organisation: first, theres an Figure object, which basically is the window your plot is drawn in.

On top of that, there are Axes objects, which are your separate graphs.

It is perfectly possible to have multiple (or no) Axes in one Figure.

Where we could do xlabel() before, we now need to do setxlabel().

So in common usage you will need to call addsubplot once for every axis you want to make with the same first two arguments.

What would happen if you first ask for one row and two columns, and for two rows and one column in the next call.

Plots In Python