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

Matplotlib.axis.Axis.set_data_interval() 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_data_interval() Function

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

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

Parameters: This method accepts the following parameters.

vmin: This parameter is the minimum data limit.
vmax: This parameter is the maximum data limit.

Return value: This method returns does not any value.

Below examples illustrate the matplotlib.axis.Axis.set_data_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_data_interval(2, 4 ,True)
 
ax.grid() 
 
fig.suptitle("""matplotlib.axis.Axis.set_data_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_data_interval(-10 , 10)
 
fig.suptitle("""matplotlib.axis.Axis.set_data_interval()
function Example\n""", fontweight ="bold")  
   
plt.show()

Output:

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

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