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
from matplotlib.axis import Tick
import matplotlib.pyplot as plt
import numpy as np
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
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:
Share your thoughts in the comments
Please Login to comment...