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

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

Last Updated : 08 Jun, 2020

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)

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

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