Matplotlib.axes.Axes.get_window_extent() 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.get_window_extent() function in axes module of matplotlib library is used to return the axes bounding box in display spaced.

Syntax: Axes.get_window_extent(self, \*args, \*\*kwargs) Here, args and kwargs are empty. 

Parameters: This method does not accepts any parameters. 

Returns: This method return the axes bounding box in display space.

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

Example 1: 

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
      

X = np.arange(-10, 10, 0.5)
Y = np.arange(-10, 10, 0.5)
U, V = np.meshgrid(X, Y)
  
fig, ax = plt.subplots()
ax.quiver(X, Y, U, V)
ax.invert_xaxis()
w = ax.get_window_extent()
print(str(w))
 
fig.suptitle('matplotlib.axes.Axes.get_window_extent()\
 function Example', fontweight ="bold") 

plt.show() 

Output:

TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100.   0.   0.]
                 [  0. 100.   0.]
                 [  0.   0.   1.]]))))

Example 2: 

# Implementation of matplotlib function 
import numpy as np 
import matplotlib.pyplot as plt 
  

xx = np.random.rand(16, 30) 
  
fig, ax3 = plt.subplots() 
  
m = ax3.pcolor(xx) 
m.set_zorder(-20) 
w = ax3.get_window_extent()
print(str(w))
 
fig.suptitle('matplotlib.axes.Axes.get_window_extent() \
function Example', fontweight ="bold") 

plt.show() 

Output:

TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100.   0.   0.]
                 [  0. 100.   0.]
                 [  0.   0.   1.]]))))