Matplotlib.axes.Axes.get_yticklines() 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_yticklines() Function

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

Syntax: Axes.get_yticklines(self)

Parameters: This method does not accepts any parameters.

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

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

Example 1:

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import matplotlib.transforms as mtransforms 
  
  
fig, ax = plt.subplots() 
ax.plot(range(12, 24), range(12)) 
ax.set_yticks((2, 5, 7, 10)) 
ax.set_yticklabels(("Label-1", "Label-2", 
                    "Label-3", "Label-4")) 
   
w = ax.get_yticklines() 
ax.text(16, 8, "yticklines values : ",  
        fontweight ="bold") 
xx = 8
for i in w: 
    ax.text(17, xx-0.5, str(i), fontweight ="bold") 
    xx-= 0.5
  
fig.suptitle('matplotlib.axes.Axes.get_yticklines()\ 
 function Example\n\n', fontweight ="bold") 
plt.show() 

Output:

Example 2:

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import numpy as np 
import matplotlib.mlab as mlab 
import matplotlib.gridspec as gridspec 
  
  
fs = 1000
t = np.linspace(0, 0.3, 301) 
A = np.array([2, 8]).reshape(-1, 1) 
f = np.array([150, 140]).reshape(-1, 1) 
xn = (A * np.sin(2 * np.pi * f * t)).sum(axis = 0) 
xn += 5 * np.random.randn(*t.shape) 
    
fig, ax = plt.subplots() 
    
yticks = [-40, -15, 10] 
    
ax.psd(xn, NFFT = 301, Fs = fs, 
       window = mlab.window_none,  
       pad_to = 1024, 
       scale_by_freq = True) 
  
ax.set_yticks(yticks) 
ax.set_yticklabels(("Low-1", "High", "Low-2")) 
ax.grid(True) 
   
w = ax.get_yticklines() 
ax.text(200, 6, "yticklines values : ",  
        fontweight ="bold") 
xx = 6
for i in w: 
    ax.text(200, xx-3, str(i), fontweight ="bold") 
    xx-= 3
  
fig.suptitle('matplotlib.axes.Axes.get_yticklines()\ 
 function Example\n\n', fontweight ="bold") 
plt.show() 