# Matplotlib.axis.Tick.set_zorder() function in Python

• Last Updated : 10 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.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.

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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:

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