Matplotlib.artist.Artist.get_transform() in Python

# Implementation of matplotlib function
from matplotlib.artist import Artist 
import numpy as np  
import matplotlib.pyplot as plt 
import matplotlib.transforms as mtransforms 
  
  
fig, ax = plt.subplots()  

l1, = ax.plot([0.1, 0.5, 0.9], 
              [0.1, 0.9, 0.5],
              "bo-") 

l2, = ax.plot([0.1, 0.5, 0.9],
              [0.5, 0.2, 0.7],
              "ro-") 
   
for l in [l1, l2]: 
    xx = l.get_xdata() 
    yy = l.get_ydata() 
    shadow, = ax.plot(xx, yy) 
    shadow.update_from(l) 
       
    ot = mtransforms.offset_copy(Artist.get_transform(l), 
                                 ax.figure, 
                                 x = 4.0, y =-6.0, 
                                 units ='points') 
    
    shadow.set_transform(ot) 

plt.title("""matplotlib.artist.Artist.get_transform()
function Example""", fontweight="bold")

plt.show()

# Implementation of matplotlib function
from matplotlib.artist import Artist 
import matplotlib.pyplot as plt 
from matplotlib import collections, colors, transforms 
import numpy as np 

   
nverts = 50
npts = 100
   
r = np.arange(nverts) 
theta = np.linspace(0, 2 * np.pi, nverts) 

xx = r * np.sin(theta) 
yy = r * np.cos(theta) 
spiral = np.column_stack([xx, yy]) 
   
rs = np.random.RandomState(19680801) 
   
xyo = rs.randn(npts, 2) 
   
colors = [colors.to_rgba(c) 
          for c in plt.rcParams['axes.prop_cycle'].by_key()['color']] 
   
fig, ax1 = plt.subplots() 
   
col = collections.RegularPolyCollection( 
    7, sizes = np.abs(xx) * 10.0,  
    offsets = xyo,  
    transOffset = ax1.transData) 
  
trans = transforms.Affine2D().scale(fig.dpi / 72.0) 
Artist.set_transform(col, trans)  
  
ax1.add_collection(col, autolim = True) 
col.set_color(colors)

plt.title("""matplotlib.artist.Artist.set_transform()
function Example""", fontweight="bold")

plt.show()