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Matplotlib.axis.Tick.set_visible() 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_visible() Function

The Tick.set_visible() function in axis module of matplotlib library is used to Copy properties from other to self. 
 

Syntax: Tick.set_visible(self, b) 

Parameters: This method accepts the following parameters. 

  • b: This parameter is the boolean value.

Return value: This method does not return any value. 

Below examples illustrate the matplotlib.axis.Tick.set_visible() function in matplotlib.axis:
Example 1:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Tick
import matplotlib.pyplot as plt  
from mpl_toolkits.axisartist.axislines import Subplot  
     
fig = plt.figure()  
        
ax = Subplot(fig, 111)  
fig.add_subplot(ax)  
     
Tick.set_visible(ax.axis["right"], False)  
Tick.set_visible(ax.axis["top"], False)
  
fig.suptitle('matplotlib.axis.Tick.set_visible() \
function Example', fontweight ="bold")  
     
plt.show() 

Output: 
 

Example 2:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Tick
import matplotlib.pyplot as plt  
import numpy as np 
     
X = np.arange(-4, 4, 0.5)  
Y = np.arange(-4, 4, 0.5)  
U, V = np.meshgrid(X**2, Y**2)  
         
fig, ax = plt.subplots()  
ax.quiver(X, Y, U, V)  
w = ax.get_xaxis() 
     
Tick.set_visible(w, False
   
fig.suptitle('matplotlib.axis.Tick.set_visible() \
function Example', fontweight ="bold")  
     
plt.show() 

Output: 
 

 


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