Matplotlib.figure.Figure.get_constrained_layout() in Python

# Implementation of matplotlib function
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np
from numpy.random import rand
   
   
fig, ax2 = plt.subplots()
   
ax2.bar(range(10), rand(10), picker = True)
for label in ax2.get_xticklabels(): 
    label.set_picker(True)
   
def onpick1(event):

    if isinstance(event.artist, Line2D):
        thisline = event.artist
 
        xdata = thisline.get_xdata()
        ydata = thisline.get_ydata()

        ind = event.ind
        print('onpick1 line:',
               np.column_stack([xdata[ind],
                                ydata[ind]]))

    elif isinstance(event.artist, Rectangle):
        patch = event.artist
        print('onpick1 patch:', patch.get_path())

    elif isinstance(event.artist, Text):
        text = event.artist
        print('onpick1 text:', text.get_text())

print("Value return by get_constrained_layout() :", 
       fig.get_constrained_layout())
 
fig.suptitle('matplotlib.figure.Figure.get_constrained_layout() \
function Example\n\n', fontweight ="bold")

plt.show()

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

NUM = 200
  
ells = [Ellipse(xy = np.random.rand(2) * 10,
                width = np.random.rand(), 
                height = np.random.rand(),
                angle = np.random.rand() * 360)
        for i in range(NUM)]
  
fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'})
for e in ells:
    ax.add_artist(e)
    e.set_clip_box(ax.bbox)
    e.set_alpha(np.random.rand())
    e.set_facecolor(np.random.rand(4))
  
ax.set_xlim(3, 7)
ax.set_ylim(3, 7)

print("Value return by get_constrained_layout() :",
       fig.get_constrained_layout())
 
fig.suptitle('matplotlib.figure.Figure.get_constrained_layout() \
function Example\n\n', fontweight ="bold")

plt.show()