Matplotlib.axis.Tick.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.Tick.set_alpha() Function

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

Syntax: Tick.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.Tick.set_alpha() function in matplotlib.axis:
Example 1:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
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, 4)]  
      
fig, ax1 = plt.subplots()  
val = ax1.violinplot(data)   
   
for i in val['bodies']:  
    i.set_facecolor('purple')  
    Tick.set_alpha(i, 0.4)

fig.suptitle('matplotlib.axis.Tick.set_alpha() \
function Example', fontweight ="bold")  
   
plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
import matplotlib.pyplot as plt  
import numpy as np  
from matplotlib.patches import Ellipse  
      
   
NUM = 100
      
ells = [Ellipse(xy = np.random.rand(2),  
                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)   
    e.set_facecolor(np.random.rand(4))
    Tick.set_alpha(e,0.2) 

fig.suptitle('matplotlib.axis.Tick.set_alpha() \
function Example', fontweight ="bold")  
   
plt.show()