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

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  • Last Updated : 03 Jun, 2020
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Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

matplotlib.axis.Axis.get_ticklabels() Function

The Axis.get_ticklabels() function in axis module of matplotlib library is used to get the tick labels as a list of Text instances.
 

Syntax: Axis.get_ticklabels(self, minor=False, which=None) 

Parameters: This method accepts the following parameters. 

  • minor : This parameter contains the boolean value. If True return the minor ticklabels, else return the major ticklabels.
  • which : This parameter selects which ticklabels to return.

Return value: This method returns the List of Text instances. 

Below examples illustrate the matplotlib.axis.Axis.get_ticklabels() function in matplotlib.axis:

Example 1:

Python3




# 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_ticklabels()\n\
Function Example', fontweight ="bold")  
ax.grid()
   
print("Value of get_ticklabels() :")
for i in ax.xaxis.get_ticklabels():
    print(i)
      
plt.show()

Output: 
 

 

Value of get_ticklabels() :
Text(0, 0, '$a$')
Text(0, 0, '$valx$')
Text(0, 0, '$b$')

Example 2:

Python3




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

Output: 
 

 

Value of get_ticklabels() :
Text(0, 0, '0')
Text(0, 0, '$\\pi$')
Text(0, 0, '2$\\pi$')

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