Matplotlib.figure.Figure.set_constrained_layout() in Python

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
 

fig, ax = plt.subplots(constrained_layout = True)
x = np.arange(0.02, 1, 0.02)

np.random.seed(19680801)
y = np.random.randn(len(x)) ** 2

ax.loglog(x, y)

ax.set_xlabel('f [Hz]')
ax.set_ylabel('PSD')
ax.set_title('Random spectrum')
 
 
def forward(x):
    return 1 / x
 
 
def inverse(x):
    return 1 / x

fig.set_constrained_layout(True)

fig.suptitle("""matplotlib.figure.Figure.set_constrained_layout()
function Example\n\n""", fontweight ="bold")    

plt.show()

# Implementation of matplotlib function
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
 

fig = plt.figure()
gs = fig.add_gridspec(3, 3)
ax = fig.add_subplot(gs[0, :])

ax.set_title('gs[0, :]')
ax2 = fig.add_subplot(gs[1, :-1])
ax2.set_title('gs[1, :-1]')

fig.set_constrained_layout(False)

fig.suptitle("""matplotlib.figure.Figure.set_constrained_layout()
function Example\n\n""", fontweight ="bold")    

plt.show()