Skip to content
Related Articles

Related Articles

Improve Article
Save Article
Like Article

Matplotlib.axes.Axes.set_axis_off() in Python

  • Last Updated : 19 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.set_axis_off() Function

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course

The Axes.set_axis_off() function in axes module of matplotlib library is used to turn the x- and y-axis off and this affects the axis lines, ticks, ticklabels, grid and axis labels.

Syntax: Axes.set_axis_off(self)



Parameters: This method does not accept any parameters.

Returns:This method does not returns anything.

Below examples illustrate the matplotlib.axes.Axes.set_axis_off() function in matplotlib.axes:

Example 1:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
    
# Time series data
geeksx = np.array([24.40, 110.25, 20.05
                  22.00, 61.90, 7.80,
                   15.00])
  
geeksy = np.array([24.40, 110.25, 20.05,
                   22.00, 61.90, 7.80,
                   15.00])
    
fig, ax = plt.subplots()
ax.xcorr(geeksx,  geeksy, maxlags = 6
         color ="green")
  
ax.set_axis_off()
  
ax.set_title('matplotlib.axes.Axes.set_axis_off()\
Example')
plt.show()

Output:

Example 2:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.tri as mtri
import numpy as np
     
x = np.asarray([0, 1, 2, 3, 0.5,
                1.5, 2.5, 1, 2,
                1.5])
  
y = np.asarray([0, 0, 0, 0, 1.0
                1.0, 1.0, 2, 2
                3.0])
  
triangles = [[0, 1, 4], [1, 5, 4], 
             [2, 6, 5], [4, 5, 7],
             [5, 6, 8], [5, 8, 7], 
             [7, 8, 9], [1, 2, 5], 
             [2, 3, 6]]
  
triang = mtri.Triangulation(x, y, triangles)
z = np.cos(1.5 * x) * np.cos(1.5 * y)
     
fig, axs = plt.subplots()
axs.tricontourf(triang, z)
axs.triplot(triang, 'go-', color ='white')
  
axs.set_axis_off()
axs.set_title('matplotlib.axes.Axes.set_axis_off()\
Example', fontsize = 10, fontweight ='bold')
plt.show()

Output:




My Personal Notes arrow_drop_up
Recommended Articles
Page :