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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() 


Output: 

 



Last Updated : 10 Jun, 2020
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