Matplotlib 3.0 Cookbook

How to do it...

The following are the steps required to plot all three graphs:

1. Define the figure as follows:

fig = plt.figure(1, figsize=(14, 6))

2. Prepare the data as follows:

month_num = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]units_sold = [500, 600, 750, 900, 1100, 1050, 1000, 950, 800, 700,               550, 450] 

3. Define the transformation function, as shown here:

curv2rect_tr1 = Affine2D().scale(200, 1).rotate_deg(30)

4. Define the grid helper function as follows:

grid_helper1 = floating_axes.GridHelperCurveLinear(curv2rect_tr1,                                        extremes=(0, 13, 0, 1400))

5. Define main and parasite axes using the following commands:

ax1 = floating_axes.FloatingSubplot(fig, 131,                                     grid_helper=grid_helper1)fig.add_subplot(ax1)axp1 = ax1.get_aux_axes(curv2rect_tr1) ...