Matplotlib.axes.Axes.is_transform_set() in Python

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. 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: Python3

# 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: Python3

# 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: