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Matplotlib.axes.Axes.set_axis_off() in Python

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  • Last Updated : 19 Apr, 2020
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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

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:


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