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.
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
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()
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Output:
Example 2:
Python3
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()
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Output:
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