Matplotlib.axis.Tick.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.Tick.set_zorder() Function

The Tick.set_zorder() function in axis module of matplotlib library is used to Set the zorder for the artist. Artists with lower zorder values are drawn first.

Syntax: Tick.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.Tick.set_zorder() function in matplotlib.axis:
Example 1:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Tick 
import numpy as np   
import matplotlib.pyplot as plt   
        
     
d = np.arange(49).reshape(7, 7)   
xx, yy = np.meshgrid(np.arange(8), np.arange(8))   
        
fig, ax = plt.subplots()   
        
ax.set_aspect(1)   
m = ax.pcolormesh(xx**2, yy**2, d**2)  
     
Tick.set_zorder(m, -5)  
  
ax.set_title('matplotlib.axis.Tick.set_zorder() \ 
function Example', fontweight ="bold")   
     
plt.show()  

Output:

Example 2:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Tick 
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)   
Tick.set_zorder(m, 5)   
       
ax4.set_title("Zorder Value : 5") 
  
fig.suptitle('matplotlib.axis.Tick.set_zorder() \ 
function Example', fontweight ="bold")   
     
plt.show()  