Matplotlib.axis.Axis.set_smart_bounds() 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.set_smart_bounds() Function

The Axis.set_smart_bounds() function in axis module of matplotlib library is used to set the axis to have smart bounds.

Syntax: Axis.set_smart_bounds(self, value)

Parameters: This method accepts the following parameters.

value: This parameter is the bool value.

Return value: This method does not return any value.

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

Example 1:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis 
import numpy as np 
import matplotlib.pyplot as plt 
  
  
fig = plt.figure() 
x = np.linspace(-np.pi, np.pi, 100) 
y = 2*np.sin(x) 
  
ax = fig.add_subplot() 
ax.set_title('centered spines') 
ax.plot(x, y) 
  
ax.spines['left'].set_position('center') 
ax.spines['right'].set_color('none') 
ax.spines['bottom'].set_position('center') 
ax.spines['top'].set_color('none') 
ax.spines['left'].set_smart_bounds(True) 
ax.spines['bottom'].set_smart_bounds(True) 
  
ax.xaxis.set_ticks_position('bottom') 
ax.yaxis.set_ticks_position('left') 
  
ax.grid()  
  
fig.suptitle("""matplotlib.axis.Axis.set_smart_bounds() 
function Example\n""", fontweight ="bold")   
    
plt.show() 

Output:

Example 2:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis 
import numpy as np 
import matplotlib.pyplot as plt 
  
  
fig = plt.figure() 
x = np.linspace(-np.pi, np.pi, 100) 
y = 2*np.sin(x) 
  
ax = fig.add_subplot() 
ax.set_title('Spines at data (3, 2)') 
ax.plot(x, y) 
  
ax.spines['left'].set_position(('data', 3)) 
ax.spines['right'].set_color('none') 
ax.spines['bottom'].set_position(('data', 2)) 
ax.spines['top'].set_color('none') 
ax.spines['left'].set_smart_bounds(True) 
ax.spines['bottom'].set_smart_bounds(True) 
  
ax.xaxis.set_ticks_position('bottom') 
ax.yaxis.set_ticks_position('left') 
  
ax.grid()  
  
fig.suptitle("""matplotlib.axis.Axis.set_smart_bounds() 
function Example\n""", fontweight ="bold")   
    
plt.show() 