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.get_window_extent() Function
The Axis.get_window_extent() function in axis module of matplotlib library is used to get the axes bounding box in display space. 
 
Syntax: Axis.get_window_extent(self, renderer)
Parameters: This method accepts the following parameters.
- renderer: This parameter is the RendererBase subclass.
Return value: This method return the axes bounding box in display space.
Below examples illustrate the matplotlib.axis.Axis.get_window_extent() function in matplotlib.axis:
Example 1:
Python3
| # Implementation of matplotlib function frommatplotlib.axis importAxis importnumpy as np  importmatplotlib.pyplot as plt        X =np.arange(-10, 10, 1.5)  Y =np.arange(-10, 10, 1.5)  U, V =np.meshgrid(X, Y)     fig, ax =plt.subplots()     ax.quiver(X, Y, U, V)     fig.canvas.draw()    renderer =fig.canvas.renderer     # use of get_window_extent() method  val =Axis.get_window_extent(ax, renderer)  print("Value Return by get_window_extent():")  print(val)      fig.suptitle('matplotlib.axis.Axis.get_window_extent() \ function Example\n', fontweight ="bold")      plt.show()   | 
Output:
Value Return by get_window_extent(): Bbox(x0=0.0, y0=0.0, x1=0.0, y1=0.0)
Example 2:
Python3
| # Implementation of matplotlib function frommatplotlib.axis importAxis importmatplotlib.pyplot as plt  importnumpy as np       xx =np.random.rand(10, 10)     fig, ax =plt.subplots()     m =ax.pcolor(xx)  m.set_zorder(-20)     fig.canvas.draw()    renderer =fig.canvas.renderer     # use of get_window_extent() method  val =Axis.get_window_extent(ax, renderer)  print("Value Return by get_window_extent():")  print(val)   fig.suptitle('matplotlib.axis.Axis.get_window_extent() \ function Example\n', fontweight ="bold")      plt.show()   | 
Output: 
 
Value Return by get_window_extent(): Bbox(x0=0.0, y0=0.0, x1=0.0, y1=0.0)

 
                                    








