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

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()

Output: