Matplotlib.axes.Axes.set_axisbelow() 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_axisbelow() Function

The Axes.set_axisbelow() function in axes module of matplotlib library is used to set whether axis ticks and gridlines are above or below most artists.

Syntax: Axes.set_axisbelow(self, b)

Parameters: This method accept only one parameters.

b: This parameter contains a boolean value and it’s possible values are : True, False or “line”.

Returns:This method does not returns anything.

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

Example 1:

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import numpy as np 
  
# Random test data 
np.random.seed(19680801) 
all_data = [np.random.normal(0, std, size = 100) for std in range(1, 6)] 
labels = ['x1', 'x2', 'x3', 'x4', 'x5'] 
  
fig, ax = plt.subplots() 
  
bplot = ax.boxplot(all_data, 
                     vert = True,   
                     patch_artist = True,   
                     labels = labels)  
colors = ['lightpink', 'lightblue', 'lightgreen', 
          "lightgrey", "yellow"] 
for patch, color in zip(bplot['boxes'], colors): 
    patch.set_facecolor(color) 
  
ax.yaxis.grid(True, color ="green", lw = 2) 
ax.set_axisbelow(True) 
ax.set_xlabel('Samples') 
ax.set_ylabel('Observed values') 
ax.set_title('matplotlib.axes.Axes.set_axisbelow() \ 
Example\n', fontsize = 12, fontweight ='bold') 
plt.show() 

Output:

Example 2:

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import numpy as np 
  
# Random test data 
np.random.seed(19680801) 
all_data = [np.random.normal(0, std, size = 100) for std in range(1, 6)] 
labels = ['x1', 'x2', 'x3', 'x4', 'x5'] 
  
fig, ax = plt.subplots() 
  
bplot = ax.boxplot(all_data, 
                     vert = True,   
                     patch_artist = True,   
                     labels = labels)  
colors = ['lightpink', 'lightblue', 'lightgreen', 
          "lightgrey", "yellow"] 
for patch, color in zip(bplot['boxes'], colors): 
    patch.set_facecolor(color) 
  
ax.yaxis.grid(True, color ="green", lw = 2) 
ax.set_axisbelow(False) 
ax.set_xlabel('Samples') 
ax.set_ylabel('Observed values') 
ax.set_title('matplotlib.axes.Axes.set_axisbelow()\ 
 Example\n', fontsize = 12, fontweight ='bold') 
plt.show() 