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Matplotlib.axes.Axes.is_transform_set() in Python
  • Last Updated : 30 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.is_transform_set() Function

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

Syntax: Axes.is_transform_set(self)

Parameters: This method does not accepts any parameter.

Returns: This method return whether the Artist has an explicitly set transform.



Below examples illustrate the matplotlib.axes.Axes.is_transform_set() function in matplotlib.axes:

Example 1:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
   
fig, axs = plt.subplots()
axs.plot([1, 2, 3])
  
axs.set_title("Is artist is explicitly set transform : "
              +str(axs.is_transform_set()))
   
fig.suptitle('matplotlib.axes.Axes.is_transform_set() \
function Example', fontweight ="bold")
   
plt.show()

Output:

Example 2:




# Implementation of matplotlib function
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", (0.4, 0.5),
               xycoords ='axes fraction',
               va ='center')
    
  
axs.set_title("Is artist is explicitly set transform : "
              +str(axs.is_transform_set()))
   
fig.suptitle('matplotlib.axes.Axes.is_transform_set() \
function Example', fontweight ="bold")
   
plt.show()

Output:

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