Matplotlib.artist.Artist.set_alpha() in Python

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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_alpha() method

The set_alpha() method in artist module of matplotlib library is used to set the alpha value used for blending.

Syntax: Artist.set_alpha(self, alpha)

Parameters: This method accepts the following parameters.

alpha: This parameter is the contains float value or None.

Returns: This method does not return any value.

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

Example 1:

# Implementation of matplotlib function 
from matplotlib.artist import Artist   
import matplotlib.pyplot as plt  
import numpy as np  
     
  
# create test data  
np.random.seed(10**7)  
data = [sorted(np.random.normal(0, std, 100))   
       for std in range(1, 5)]  
     
fig, ax1 = plt.subplots()  
val = ax1.violinplot(data)  
ax1.set_ylabel('Result')  
ax1.set_xlabel('Domain Name')  
  
for i in val['bodies']:  
    i.set_facecolor('green')  
    Artist.set_alpha(i, 0.5)   
  
fig.suptitle('matplotlib.artist.Artist.set_alpha()\ 
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  
from matplotlib.patches import Ellipse  
     
  
NUM = 200
     
ells = [Ellipse(xy = np.random.rand(2) * 10,  
                width = np.random.rand(),   
                height = np.random.rand(),  
                angle = np.random.rand() * 360)  
        for i in range(NUM)]  
     
fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'})  
    
for e in ells:  
    ax.add_artist(e)  
    e.set_clip_box(ax.bbox)  
    Artist.set_alpha(e, np.random.rand())  
    e.set_facecolor(np.random.rand(4))  
     
ax.set_xlim(3, 7)  
ax.set_ylim(3, 7)  
  
fig.suptitle('matplotlib.artist.Artist.set_alpha()\ 
function Example', fontweight ="bold")  
  
plt.show() 