Matplotlib.axis.Axis.get_view_interval() 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_view_interval() Function

The Axis.get_view_interval() function in axis module of matplotlib library is used to get the view limits (min, max) of this axis. 

Syntax: Axis.get_view_interval(self) 

Parameters: This method does not accepts any parameters. 

Return value: This method returns the view limits (min, max) of this axis. 

Below examples illustrate the matplotlib.axis.Axis.get_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)

print("Value return by get_view_interval() :")
w = ax.xaxis.get_view_interval()
print(w)
 
ax.grid() 
 
fig.suptitle("""matplotlib.axis.Axis.get_view_interval()
function Example\n""", fontweight ="bold")  
   
plt.show()

Output:

Value return by get_view_interval() :
[-0.62831853 13.19468915]

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,  
         maxlags = 20, lw = 3)  
     
ax.grid(True)

print("Value return by get_view_interval() :")
w = ax.xaxis.get_view_interval()
print(w)
 
fig.suptitle("""matplotlib.axis.Axis.get_view_interval()
function Example\n""", fontweight ="bold")  
   
plt.show()

Output:

Value return by get_view_interval() :
[-22.  22.]

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