Matplotlib.axis.Tick.have_units() function in Python

# Implementation of matplotlib function
from matplotlib.axis import Tick
import matplotlib.pyplot as plt  
import numpy as np  
from matplotlib.patches import Ellipse  
      
    
delta = 15.0
      
angles = np.arange(0, 360 + delta, delta)  
ells = [Ellipse((2, 2), 5, 2, a) for a in angles]  
      
fig, ax = plt.subplots()  
      
for e in ells:  
    Tick.set_clip_box(e, ax.bbox)
    e.set_facecolor("green")
    e.set_alpha(0.05)  
    ax.add_artist(e)  
      
plt.xlim(-1, 5)  
plt.ylim(-1, 5) 
 
ax.set_title("Units are set on any axis : "
              +str(Tick.have_units(ax.xaxis)))  

fig.suptitle('matplotlib.axis.Tick.have_units() \
function Example', fontweight ="bold")  
   
plt.show() 

# Implementation of matplotlib function
from matplotlib.axis import Tick
import matplotlib.pyplot as plt 
     
fig, ax1 = plt.subplots( ) 
ax1.set_xscale("log") 
ax1.set_yscale("log") 
ax1.set_adjustable("datalim") 
   
ax1.plot([1, 3, 34, 4, 46, 3, 7, 45, 10], 
         [1, 9, 27, 8, 29, 84, 78, 19, 48], 
          "o-", color ="green") 
   
ax1.set_xlim(1e-1, 1e2) 
ax1.set_ylim(1, 1e2) 
   
w = Tick.have_units(ax1.yaxis) 
   
print("Value Return by have_units() :", w)    

fig.suptitle('matplotlib.axis.Tick.have_units() \
function Example', fontweight ="bold")  
   
plt.show()