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

  • Last Updated : 08 Jun, 2020
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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.set_view_interval() Function

The Axis.set_view_interval() function in axis module of matplotlib library is used to set the axis view limits. This method is for internal use. 
 

Syntax: Axis.set_view_interval(self, vmin, vmax, ignore=False) 
 

Parameters: This method accepts the following parameters. 

  • vmin: This parameter is the minimum view limit.
  • vmax: This parameter is the maximum view limit.

Return value: This method returns does not any value. 



Below examples illustrate the matplotlib.axis.Axis.set_view_interval() 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 
   
fig = plt.figure()
   
x = np.linspace(0,4*np.pi,100)
y = 2*np.sin(x)
   
ax = fig.add_subplot()
ax.plot(x,y)
  
ax.xaxis.set_view_interval(-2, 2 ,True)
   
ax.grid() 
   
fig.suptitle("""matplotlib.axis.Axis.set_view_interval()
function Example\n""", fontweight ="bold")  
     
plt.show()

Output: 
 

Example 2:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import numpy as np 
   
np.random.seed(10**7)  
geeks = np.random.randn(40)  
        
fig, ax = plt.subplots()  
ax.acorr(geeks, usevlines = True,  
         normed = True, lw = 3)  
       
ax.grid(True)
  
ax.xaxis.set_view_interval(-5 , 5)
   
fig.suptitle("""matplotlib.axis.Axis.set_view_interval()
function Example\n""", fontweight ="bold")  
     
plt.show()

Output: 
 

 

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