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

  • Last Updated : 10 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.set_alpha() Function

The Axis.set_alpha() function in axis module of matplotlib library is used to set the alpha value used for blending. 
 

Syntax: Axis.set_alpha(self, alpha) 

Parameters: This method accepts the following parameters. 

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

Return value: This method does not return any value. 



Below examples illustrate the matplotlib.axis.Axis.set_alpha() function in matplotlib.axis:
Example 1:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
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('yellow')  
    Axis.set_alpha(i, 0.3)
  
fig.suptitle('matplotlib.axis.Axis.set_alpha() \
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  
import numpy as np  
from matplotlib.patches import Ellipse  
       
    
NUM = 100
       
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)  
    Axis.set_alpha(e, np.random.rand())  
    e.set_facecolor(np.random.rand(4))  
       
ax.set_xlim(2, 8)  
ax.set_ylim(2, 8
  
fig.suptitle('matplotlib.axis.Axis.set_alpha() \
function Example\n', fontweight ="bold")  
    
plt.show() 

Output: 

 

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