Matplotlib.axes.Axes.get_xticklines() in Python

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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_xticklines() Function

The Axes.get_xticklines() function in axes module of matplotlib library is used to return the x tick lines as a list of Line2D instances.

Syntax: Axes.get_xticklines(self)

Parameters: This method does not accepts any parameters.

Return value: This method returns the x tick lines as a list of Line2D instances.

Below examples illustrate the matplotlib.axes.Axes.get_xticklines() 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_xticklines() 
ax.text(3, 200, "xticklines values : ",  
       fontweight ="bold") 
xx = 200
for i in w: 
    ax.text(4, xx-15, str(i), fontweight ="bold") 
    xx-= 15
    
fig.suptitle('matplotlib.axes.Axes.get_xticklines()\ 
 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_xticklines() 
ax.text(2, 0.8, "xticklines values : ",  
        fontweight ="bold") 
xx = 0.8
for i in w: 
    ax.text(2.3, xx-0.2, str(i), fontweight ="bold") 
    xx-= 0.2
    
fig.suptitle('matplotlib.axes.Axes.get_xticklines() \ 
function Example\n\n', fontweight ="bold") 
fig.canvas.draw() 
plt.show() 