Matplotlib.axis.Axis.get_ticklabel_extents() 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.get_ticklabel_extents() Function

The Axis.get_ticklabel_extents() function in axis module of matplotlib library is used to get the extents of the tick labels on either side of the axes 

Syntax: Axis.get_ticklabel_extents(self, renderer) 
 

Parameters: This method accepts the following parameters. 

• renderer: This parameter is the RendererBase instance 
  renderer.

Return value: This method returns the extents of the tick labels on either side of the axes 

Below examples illustrate the matplotlib.axis.Axis.get_ticklabel_extents() function in matplotlib.axis:
 

Example 1:

# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt 
import numpy as np 
   
   
X = np.arange(-5, 5, 1) 
Y = np.arange(-5, 5, 1) 
U, V = np.meshgrid(X, Y) 
     
fig, ax = plt.subplots() 
ax.quiver(X, Y, U, V) 
ax.invert_xaxis() 
w = Axis.get_ticklabel_extents(ax.xaxis,
                               fig.canvas.get_renderer()) 
   
print("Value Return :\n"+str(w)) 
ax.grid()
  
fig.suptitle("""matplotlib.axis.Axis.get_ticklabel_extents()
function Example\n""", fontweight ="bold")  
      
plt.show()

Output: 
 

Value Return : (Bbox([[98.10795454545453, 29.077777777777776], [513.6035353535353, 43.077777777777776]]), Bbox([[0.0, 0.0], [0.0, 0.0]]))

Example 2:

# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np  
import matplotlib.pyplot as plt  
      
xx = np.random.rand(10, 5)  
      
fig, ax = plt.subplots()  
      
m = ax.pcolor(xx)  
m.set_zorder(-2)

w = Axis.get_ticklabel_extents(ax.xaxis, fig.canvas.get_renderer()) 
   
print("Value Return :\n"+str(w)) 
ax.grid()
  
fig.suptitle("""matplotlib.axis.Axis.get_ticklabel_extents()
function Example\n""", fontweight ="bold")  
      
plt.show()

Output: 
 

Value Return : (Bbox([[75.5625, 29.077777777777776], [580.4375, 43.077777777777776]]), Bbox([[0.0, 0.0], [0.0, 0.0]]))