Matplotlib.axes.Axes.get_xticklabels() in Python

Last Updated : 19 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.get_xticklabels() Function

The Axes.get_xticklabels() function in axes module of matplotlib library is used to return the x ticks labels as a list of Text instances.

Syntax:Axes.get_xticklabels(self, minor=False, which=None)

Parameters: This method accepts the following parameters.

minor : This parameter is used whether set major ticklabels or to set minor ticklabels

which : This parameter is used to selects which ticklabels to return.

Return value: This method returns a list of Text instances.

Below examples illustrate the matplotlib.axes.Axes.get_xticklabels() function in matplotlib.axes:

Example 1:

# Implementation of matplotlib function 
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(('$a$', '$valx$', '$b$')) 
  
w = ax.get_xticklabels() 
strr = str(list(w)) 
ax.text(3.4, 200, "xticklabels values : ",  
       fontweight ="bold") 
ax.text(1, 185, strr, fontweight ="bold") 
    
fig.suptitle('matplotlib.axes.Axes.get_xticklabels() \ 
function Example\n\n', fontweight ="bold") 
fig.canvas.draw() 
plt.show() 

Output:

Example 2:

# Implementation of matplotlib function 
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) 
  
w = ax.get_xticklabels() 
strr = str(list(w)) 
ax.text(2.5, 0, "xticklabels values : ",  
        fontweight ="bold") 
ax.text(1, -0.2, strr, fontweight ="bold") 
    
fig.suptitle('matplotlib.axes.Axes.get_xticklabels()\ 
 function Example\n\n', fontweight ="bold") 
fig.canvas.draw() 
plt.show() 