Matplotlib.axis.Axis.get_ticklocs() function in Python

# Implementation of matplotlib function 
from matplotlib.axis import Axis  
import numpy as np 
import matplotlib.pyplot as plt 
from matplotlib.patches import Polygon 
    
    
def func(x): 
    return (x - 4) * (x - 6) * (x - 5) + 100
    
    
a, b = 2, 9  # integral limits 
x = np.linspace(0, 10) 
y = func(x) 
    
fig, ax = plt.subplots() 
ax.plot(x, y, "k", linewidth = 2) 
ax.set_ylim(bottom = 0) 
    
# Make the shaded region 
ix = np.linspace(a, b) 
iy = func(ix) 
verts = [(a, 0), *zip(ix, iy), (b, 0)] 
  
poly = Polygon(verts, facecolor ='green', 
               edgecolor ='0.5', alpha = 0.4) 
ax.add_patch(poly) 
    
ax.text(0.5 * (a + b), 30,  
        r"$\int_a ^ b f(x)\mathrm{d}x$", 
        horizontalalignment ='center',  
        fontsize = 20) 
    
fig.text(0.9, 0.05, '$x$') 
fig.text(0.1, 0.9, '$y$') 
    
ax.spines['right'].set_visible(False) 
ax.spines['top'].set_visible(False) 
  
ax.set_xticks((a, b-a, b)) 
ax.set_xticklabels(('$a$', '$valx$', '$b$'))

fig.suptitle('Matplotlib.axis.Axis.get_ticklocs()\n\
Function Example', fontweight ="bold")  
ax.grid()
 
print("Value of get_ticklocs() :")
for i in ax.xaxis.get_ticklocs():
    print(i)
    
plt.show()

# Implementation of matplotlib function 
from matplotlib.axis import Axis  
import numpy as np 
import matplotlib.pyplot as plt 
    
# Fixing random state for reproducibility 
np.random.seed(19680801) 
    
x = np.linspace(0, 2 * np.pi, 100) 
y = np.sin(x) 
y2 = y + 0.2 * np.random.normal(size = x.shape) 
    
fig, ax = plt.subplots() 
ax.plot(x, y) 
ax.plot(x, y2) 
   
ax.set_xticks([0, np.pi, 2 * np.pi]) 
ax.set_xticklabels(['0', r'$\pi$', r'2$\pi$'])
    
ax.spines['left'].set_bounds(-1, 1) 
ax.spines['right'].set_visible(False) 
ax.spines['top'].set_visible(False)

print("Value of get_ticklocs() :")
for i in ax.xaxis.get_ticklocs():
    print(i)
    
fig.suptitle('Matplotlib.axis.Axis.get_ticklocs()\n\
Function Example', fontweight ="bold")  
ax.grid()
    
plt.show()