Matplotlib 3.0 Cookbook

How to do it...

Here are the steps involved in plotting the required graphs:

1. Prepare the data for the plots:

x = [0, 1, 2, 3, 4, 5]y = [19, 12, 6, 4, 3, 2]y1 = [41, 67, 80, 89, 96, 100]

2. Define the figure and required axes, including twin axes:

fig = plt.figure(figsize=(10,6))ax1 = plt.subplot(121)       # first plotax2 = ax1.twinx()            # share x axisax3 = plt.subplot(122)       # second plotax4 = ax3.twiny()            # share y axis

3. Plot the bar and line graphs using the twinx() option:

b = ax1.bar(x, y, label='Number of Defects')l, = ax2.plot(x, y1, color='g', lw=5, label='Cumulative Defects as %')

4. Set the labels and legend for the first plot:

majorLocator = MultipleLocator(2)ax1.yaxis.set_major_locator(majorLocator)ax1.set(xlabel='Defect Reason Codes', ...