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
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
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:
Share your thoughts in the comments
Please Login to comment...