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.get_zorder() Function
The Tick.get_zorder() function in axis module of matplotlib library is used to get the artist’s zorder.
Syntax: Tick.get_zorder(self)
Parameters: This method does not accepts any parameter.
Return value: This method return the artist’s zorder.
Below examples illustrate the matplotlib.axis.Tick.get_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( 16 ).reshape( 4 , 4 ) xx, yy = np.meshgrid(np.arange( 5 ), np.arange( 5 )) fig, ax = plt.subplots() ax.set_aspect( 1 ) ax.pcolormesh(xx, yy, d) ax.text( 1.4 , 3.5 , "Zorder Value : " + str (Tick.get_zorder(ax)), fontweight = "bold" ) fig.suptitle('matplotlib.axis.Tick.get_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( 3 , 4 ) fig, ax = plt.subplots() ax.pcolor(xx) ax.set_zorder( 3 ) ax.set_title( "Zorder Value : " + str (Tick.get_zorder(ax)), fontweight = "bold" ) fig.suptitle('matplotlib.axis.Tick.get_zorder() \ function Example', fontweight = "bold" ) plt.show() |
Output: