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

Last Updated : 11 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.Axis.is_transform_set() Function

The Axis.is_transform_set() function in axis module of matplotlib library is used to get whether the Artist has an explicitly set transform.

Syntax: Axis.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.Axis.is_transform_set() function in matplotlib.axis:
Example 1:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt 
   
fig, axs = plt.subplots() 
axs.plot([1, 2, 3]) 
  
axs.set_title("Is artist is explicitly set transform : "
              +str(Axis.is_transform_set(axs)))   

fig.suptitle('matplotlib.axis.Axis.is_transform_set() \
function Example\n', fontweight ="bold")  
  
plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt 
   
fig, (axs, axs2) = plt.subplots(2, 1) 
gs = axs2.get_gridspec() 
       
axbig = fig.add_subplot(gs[1:, -1]) 
axbig.annotate("Second Axes", (0.5, 0.6), 
               xycoords ='axes fraction', 
               va ='center') 
    
  
axs.set_title("Is artist is explicitly set transform : "
              +str(Axis.is_transform_set(axs)))   

fig.suptitle('matplotlib.axis.Axis.is_transform_set() \
function Example\n', fontweight ="bold")  
  
plt.show()