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.
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:
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:
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()
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Output:
Last Updated :
30 Apr, 2020
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