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

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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_url() Function

The Axis.set_url() function in axis module of matplotlib library is used to set the url for the artist. 
 

Syntax: Axis.set_url(self, url) 
 

Parameters: This method accepts the following parameters. 

  • url: This parameter is the string containing the url.

Return value: This method does not return any value. 

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

Example 1:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np  
import matplotlib.cm as cm  
import matplotlib.mlab as mlab  
import matplotlib.pyplot as plt 
    
      
fig, ax = plt.subplots()  
s = ax.scatter([1, 2, 3], [4, 5, 6]) 
Axis.set_url(s, 'http://www.google.com')  
fig.canvas.print_figure('geeks1.svg'
  
fig.suptitle('matplotlib.axis.Axis.set_url() \
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.cm as cm  
import matplotlib.mlab as mlab  
import matplotlib.pyplot as plt 
    
      
fig, ax = plt.subplots()  
delta = 0.025
    
x = y = np.arange(-3.0, 3.0, delta)  
X, Y = np.meshgrid(x, y)  
    
Z1 = np.exp(-X**2 - Y**2)  
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)  
Z = (Z1 - Z2) * 2
      
im = ax.imshow(Z,  
               interpolation ='bilinear',  
               cmap = "bone",  
               origin ='lower',   
               extent =[-3, 3, -3, 3])
  
Axis.set_url(im, 'http://www.google.com')  
fig.canvas.print_figure('geeks2.svg'
  
fig.suptitle('matplotlib.axis.Axis.set_url() \
function Example\n', fontweight ="bold")  
    
plt.show() 


Output: 
 

 



Last Updated : 05 Jun, 2020
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