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Matplotlib.artist.Artist.get_label() in Python

  • Last Updated : 15 May, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Artist class contains Abstract base class for objects that render into a FigureCanvas. All visible elements in a figure are subclasses of Artist.

Matplotlib.artist.Artist.get_label() Method

The set_label() method in artist module of matplotlib library is used to set the label that will be displayed in the legend.

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Syntax: Artist.get_label(self)



Parameters: This method does not accepts any parameter.

Returns: This method return the label used for this artist in the legend.

Below examples illustrate the matplotlib.artist.Artist.get_label() function in matplotlib:

Example 1:




# Implementation of matplotlib function
from matplotlib.artist import Artist 
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(Artist.get_label(line)))  
  
fig.suptitle("""matplotlib.artist.Artist.get_label()
function Example""", fontweight="bold")
  
plt.show()

Output:

Example 2:




# Implementation of matplotlib function
from matplotlib.artist import Artist 
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, [Artist.get_label(l) for l in lines])  
  
fig.suptitle("""matplotlib.artist.Artist.get_label()
function Example""", fontweight="bold")
  
plt.show()

Output:




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