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Matplotlib.axis.Tick.get_alpha() in Python

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  • Last Updated : 01 May, 2022
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Matplotlib is a library in Python and it is a numerical – mathematical extension for NumPy library It is an amazing visualization library in Python for 2D plots of arrays and is used for working with the broader SciPy stack.

matplotlib.axis.Tick.get_alpha() Function

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

Syntax: Tick.get_alpha(self) 

Parameters: This method does not accepts any parameter. 

Return value: This method return the alpha value used for blending.

Below examples illustrate the matplotlib.axis.Tick.get_alpha() function in matplotlib.axis: 

Example 1: 

Python3




# Implementation of matplotlib function
from matplotlib.axis import Tick
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
  
  
np.random.seed(10**7)
mu = 121
sigma = 21
x = mu + sigma * np.random.randn(1000)
  
num_bins = 100
fig, ax = plt.subplots()
  
n, bins, patches = ax.hist(x, num_bins,
                           density=1,
                           color='purple',
                           alpha=0.5)
  
y = ((1 / (np.sqrt(2 * np.pi) * sigma)) *
     np.exp(-0.5 * (1 / sigma * (bins - mu))**2))
  
ax.plot(bins, y, '--', color='black')
  
ax.set_xlabel('X-Axis')
ax.set_ylabel('Y-Axis')
  
w = Tick.get_alpha(ax)
ax.set_title("Alpha Value : "+str(w))
  
fig.suptitle("""matplotlib.axis.Tick.get_alpha()
function Example\n""", 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
  
  
rx, ry = 3., 1.
  
value1 = rx * ry * np.pi
value2 = np.arange(0, 3 * np.pi + 0.01, 0.2)
value3 = np.column_stack([rx / value1 * np.cos(value2),
                          ry / value1 * np.sin(value2)])
  
x, y, s, c = np.random.rand(4, 99)
s *= 20**3.
  
fig, ax = plt.subplots()
ax.scatter(x, y, s, c, marker=value3)
  
Tick.set_alpha(ax, 0.5)
  
w = Tick.get_alpha(ax)
ax.set_title("Alpha Value : "+str(w))
  
fig.suptitle("""matplotlib.axis.Tick.get_alpha()
function Example\n""", fontweight="bold")
  
plt.show()

Output: 

 


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