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

  • Last Updated : 08 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_label() Function

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

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Syntax: Axis.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.Axis.get_label() function in matplotlib.axis:
 

Example 1:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt  
     
      
fig, ax = plt.subplots()  
      
x = [0, 1]  
y = [1, 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.Axis.get_label()
function Example\n""", fontweight ="bold")  
    
plt.show()

Output: 
 

Example 2:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
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()  
par2 = host.twinx()  
       
par2.spines["right"].set_position(("axes", 1.2))  
       
make_patch_spines_invisible(par2)  
    
par2.spines["right"].set_visible(True)  
       
p1, = host.plot([0, 1, 2], [0, 1, 2],  
                "b-", label ="Y-label 1")  
p2, = par1.plot([0, 1, 2], [0, 30, 20],  
                "r-", label ="Y-label 2")  
p3, = par2.plot([0, 1, 2], [500, 300, 150],   
                "g-", label ="Y-label 3")  
       
host.set_xlim(0.25, 1.75)  
host.set_ylim(0.25, 1.75)  
par1.set_ylim(0, 40)  
par2.set_ylim(10, 500)  
       
host.set_xlabel("X-label")  
host.set_ylabel("Y-label 1")  
par1.set_ylabel("Y-label 2")  
par2.set_ylabel("Y-label 3")  
       
host.yaxis.label.set_color(p1.get_color())  
par1.yaxis.label.set_color(p2.get_color())  
par2.yaxis.label.set_color(p3.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)  
par2.tick_params(axis ='y',  
                 colors = p3.get_color(),  
                 **tkw)  
host.tick_params(axis ='x',  
                 **tkw)  
       
lines = [p1, p2, p3]  
       
host.legend(lines, [l.get_label() for l in lines])
            
fig.suptitle("""matplotlib.axis.Axis.get_label()
function Example\n""", fontweight ="bold")  
    
plt.show()

Output: 
 

 




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