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Matplotlib.axis.Axis.set_zorder() 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_zorder() Function

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

Syntax: Axis.set_zorder(self, level) 
 

Parameters: This method accepts the following parameters. 

  • level: This parameter contains the float value.

Return value: This method does not return any value. 

Below examples illustrate the matplotlib.axis.Axis.set_zorder() 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  
       
    
d = np.arange(25).reshape(5, 5)  
xx, yy = np.meshgrid(np.arange(6), np.arange(6))  
       
fig, ax = plt.subplots()  
       
ax.set_aspect(1)  
m = ax.pcolormesh(xx**2, yy**2, d**2
    
Axis.set_zorder(m, -10
  
plt.title('matplotlib.axis.Axis.set_zorder() \
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  
       
    
xx = np.random.rand(6, 5)  
       
fig, (ax3, ax4) = plt.subplots(1, 2)  
       
m = ax3.pcolor(xx)  
       
ax3.set_title("No Zorder value ")  
       
m = ax4.pcolor(xx)  
Axis.set_zorder(m, -7)  
      
ax4.set_title("Zorder Value : -7")
  
fig.suptitle('matplotlib.axis.Axis.set_zorder() \
function Example\n', fontweight ="bold")  
    
plt.show() 


Output: 

 



Last Updated : 05 Jun, 2020
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