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()  