Matplotlib.axes.Axes.set_axis_on() in Python

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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_on() Function

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

Syntax: Axes.set_axis_on(self)

Parameters: This method does not accept any parameters.

Returns:This method does not returns anything.

Note: This function works only when set_axis_off function is used previously.

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

Example 1:

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import numpy as np 
     
# Time series data 
zambiatekx = np.array([24.40, 110.25, 20.05, 
                   22.00, 61.90, 7.80,  
                   15.00]) 
  
zambiateky = np.array([24.40, 110.25, 20.05, 
                   22.00, 61.90, 7.80, 
                   15.00]) 
     
fig, ax = plt.subplots() 
ax.xcorr(zambiatekx, zambiateky, maxlags = 6,  
         color ="green") 
   
ax.set_axis_off() 
ax.set_axis_on() 
ax.set_title('matplotlib.axes.Axes.set_axis_on() \ 
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, axs1] = plt.subplots(1, 2) 
axs.tricontourf(triang, z) 
axs.triplot(triang, 'go-', color ='white') 
axs.set_axis_off() 
axs.set_title('Without set_axis_on',  
              fontsize = 10,  
              fontweight ='bold') 
  
axs1.tricontourf(triang, z) 
axs1.triplot(triang, 'go-', color ='white') 
axs1.set_xlabel("X-axis") 
axs1.set_ylabel("Y-axis") 
axs1.set_axis_off() 
  
axs1.set_axis_on() 
axs1.set_title('With set_axis_on ', 
               fontsize = 10, 
               fontweight ='bold') 
  
plt.show() 