Originally posted by@ImportanceOfBeingErnest in#12377 (comment)

The code does not seem to be runnable and does not give a sensible result. I used this code

fig, axs = plt.subplots(2, 2, constrained_layout=True)for ax in axs.flatten()[:-1]:    ax.plot(np.arange(10))axs[1, 1].plot(np.arange(10), label='This is a plot')leg = axs[1, 1].legend(loc='center left', bbox_to_anchor=(0.8, 0.5))leg.set_in_layout(False)wanttoprint = Trueif wanttoprint:    leg.set_in_layout(True)    fig.do_constrained_layout(False)    fig.savefig('outname.png', bbox_inches='tight')plt.show()

i.e. the code from thematplotlib 3.0 documentation withwanttoprint = True but it gives an errorAttributeError: 'Figure' object has no attribute 'do_constrained_layout'.

Assuming that what is meant here isset_constrained_layout, the problem is that the figure shown deviates from the one obtained viawanttoprint = False. So it seems it's not possible to show the figure after saving it?

Using the second code (the one withfig.legend()) everything works as expected.

In my eyes there are the following things to do:

1. Correct the first code to be runnable and produce the expected outcome for both settings ofwanttoprint on screen and as saved image.
2. Explain the reasoning behind turning the legend in layout option first off then on etc.
3. Add a savefig line to the second example to make is clear that this is to be understood parallel to the previous example.