Matplotlib.axis.Tick.is_transform_set() function in Python

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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.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

# 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)  
     
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

# Implementation of matplotlib function 
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()  