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Matplotlib.artist.Artist.set_alpha() in Python

  • Last Updated : 10 May, 2020
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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()

Output:

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