Matplotlib.axis.Tick.set_alpha() function in Python
Last Updated :
10 Jun, 2020
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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:
# 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:
# 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()
Output:
