Matplotlib.axis.Tick.get_alpha() in Python
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:
# 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:
# 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:
