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Matplotlib.axis.Tick.get_label() in Python

Last Updated : 15 Jul, 2025
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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.Tick.get_label() Function

The Tick.get_label() function in axis module of matplotlib library is used to get the label used for this artist in the legend.

Syntax: Tick.get_label(self) Parameters: This method does not accepts any parameter. Return value: This method return the label used for this artist in the legend.

Below examples illustrate the matplotlib.axis.Tick.get_label() function in matplotlib.axis: 

Example 1: 

Python3
# Implementation of matplotlib function
from matplotlib.axis import Tick
import matplotlib.pyplot as plt  
    
     
fig, ax = plt.subplots()  
     
x = [0, 2]  
y = [2, 1]  
line, = ax.plot(x, y)  
   
ax.legend(("Line_1", ))  
     
ax.text(0.2, 1.02, "Value Return by get_label()\
: " + str(line.get_label()))
               
 
fig.suptitle("""matplotlib.axis.Tick.get_label()
function Example\n""", fontweight ="bold")  
   
plt.show() 

Output: Example 2: 

Python3
# Implementation of matplotlib function
from matplotlib.axis import Tick
import matplotlib.pyplot as plt  
   
def make_patch_spines_invisible(ax):  
    ax.set_frame_on(True)  
    ax.patch.set_visible(False)  
    for sp in ax.spines.values():  
        sp.set_visible(False)  
     
fig, host = plt.subplots()  
fig.subplots_adjust(right = 0.75)  
      
par1 = host.twinx()   
      
p1, = host.plot([0, 1, 2], [0, 1, 2],  
                "g-", label ="Y-label 1")  
p2, = par1.plot([0, 1, 2], [0, 30, 20],  
                "r-", label ="Y-label 2") 
      
host.set_xlim(0.25, 1.75)  
host.set_ylim(0.25, 1.75)  
par1.set_ylim(0, 40)  
      
host.set_xlabel("X-label")  
host.set_ylabel("Y-label 1")  
par1.set_ylabel("Y-label 2")  
      
host.yaxis.label.set_color(p1.get_color())  
par1.yaxis.label.set_color(p2.get_color())  
      
tkw = dict(size = 4, width = 1.5)  
host.tick_params(axis ='y',   
                 colors = p1.get_color(),   
                 **tkw)  
par1.tick_params(axis ='y',   
                 colors = p2.get_color(),  
                 **tkw)   
host.tick_params(axis ='x',  
                 **tkw)  
      
lines = [p1, p2]  
      
host.legend(lines, [l.get_label() for l in lines])
               
 
fig.suptitle("""matplotlib.axis.Tick.get_label()
function Example\n""", fontweight ="bold")  
   
plt.show() 

Output:


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