Matplotlib.axis.Tick.get_alpha() in Python
Last Updated :
01 May, 2022
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
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(
, fontweight = "bold")
plt.show()
|
Output:
Example 2:
Python3
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(
, fontweight = "bold")
plt.show()
|
Output:
Share your thoughts in the comments
Please Login to comment...