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Matplotlib.axis.Axis.get_tightbbox() function in Python

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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_tightbbox() Function

The Axis.get_tightbbox() function in axis module of matplotlib library is used to get the bounding box that encloses the axis.

Syntax: Axis.get_tightbbox(self, renderer) 
 

Parameters: This method accepts the following parameters. 

  • renderer: This parameter is the RendererBase instance 
    renderer

Return value: This method returns the bounding box that encloses the axis. 

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

Example 1:

Python3




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


Output: 

 

Value Return :
Bbox(x0=75.48368298368294, y0=29.077777777777776, x1=574.7670454545455, y1=43.077777777777776)

Example 2:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np  
import matplotlib.pyplot as plt  
       
xx = np.random.rand(8, 6)  
       
fig, ax = plt.subplots()  
       
m = ax.pcolor(xx)  
m.set_zorder(-2)  
w = Axis.get_tightbbox(ax.xaxis, fig.canvas.get_renderer()) 
    
print("Value Return :\n"+str(w)) 
ax.grid()
    
fig.suptitle("""matplotlib.axis.Axis.get_tightbbox()
function Example\n""", fontweight ="bold")  
        
plt.show()


Output: 

 

Value Return :
Bbox(x0=75.5625, y0=29.077777777777776, x1=580.4375, y1=43.077777777777776)

 



Last Updated : 08 Jun, 2020
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