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Matplotlib.artist.Artist.set_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.set_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.

Syntax: Artist.set_label(self, s)

Parameters: This method accepts only one parameters.

  • s: This parameter is converted to a string by calling str.

Returns: This method does not return any value.

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

Example 1:




# Implementation of matplotlib function
from matplotlib.artist import Artist 
import matplotlib.pyplot as plt 
import numpy as np 
from matplotlib.collections import EllipseCollection 
     
    
x = np.arange(10
y = np.arange(15
X, Y = np.meshgrid(x, y) 
     
XY = np.column_stack((X.ravel(), Y.ravel())) 
     
fig, ax = plt.subplots() 
     
ec = EllipseCollection(10, 10, 5, units ='y'
                       offsets = XY * 0.5
                       transOffset = ax.transData, 
                       cmap ="bone"
    
ec.set_array((X * Y + X * X).ravel()) 
    
ax.add_collection(ec) 
ax.autoscale_view() 
    
ax.set_xlabel('X'
ax.set_ylabel('y'
    
cbar = plt.colorbar(ec) 
cbar.set_label('X + Y')  
  
fig.suptitle("""matplotlib.artist.Artist.set_label()
function Example""", fontweight="bold")
  
plt.show()

Output:

Example 2:




# Implementation of matplotlib function
from matplotlib.artist import Artist 
import matplotlib.pyplot as plt 
import numpy as np 
     
    
np.random.seed(19680801
     
n = 100000
x = np.random.standard_normal(n) 
y = 2 * np.random.standard_normal(n) 
z =[1, 2, 3, 4
    
xmin = x.min() 
xmax = x.max() 
ymin = y.min() 
ymax = y.max() 
     
fig, ax = plt.subplots() 
hb = ax.hexbin(x, y,
               gridsize = 50,
               bins ='log',
               cmap ='PuBuGn'
  
ax.set(xlim =(xmin, xmax), ylim =(ymin, ymax)) 
    
cb = fig.colorbar(hb, ax = ax) 
cb.set_label('log')  
  
fig.suptitle("""matplotlib.artist.Artist.set_label()
function Example""", fontweight="bold")
  
plt.show()

Output:


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