Matplotlib.axis.Tick.is_transform_set() function in Python
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.is_transform_set() Function
The Tick.is_transform_set() function in axis module of matplotlib library is used to get whether the Artist has an explicitly set transform.
Syntax: Tick.is_transform_set(self)
Parameters: This method does not accepts any parameter.
Return value: This method return whether the Artist has an explicitly set transform.
Below examples illustrate the matplotlib.axis.Tick.is_transform_set() 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)
ax1.set_title( "Is artist is explicitly set transform : "
+ str (Tick.is_transform_set(ax1)))
fig.suptitle('matplotlib.axis.Tick.is_transform_set() \
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
delta = 15.0
angles = np.arange( 0 , 360 + delta, delta)
ells = [Ellipse(( 2 , 2 ), 5 , 2 , a) for a in angles]
fig, ax = plt.subplots()
for e in ells:
Tick.set_clip_box(e, ax.bbox)
e.set_facecolor( "green" )
e.set_alpha( 0.05 )
ax.add_artist(e)
plt.xlim( - 1 , 5 )
plt.ylim( - 1 , 5 )
ax.set_title( "Is artist is explicitly set transform : "
+ str (Tick.is_transform_set(ax)))
fig.suptitle('matplotlib.axis.Tick.is_transform_set() \
function Example', fontweight = "bold" )
plt.show()
|
Output:
Last Updated :
10 Jun, 2020
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