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

Output: