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

Last Updated : 03 Jun, 2020

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

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

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$\\pi$')

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

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