Matplotlib.axes.Axes.get_facecolor() 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.get_facecolor() Function

The Axes.get_facecolor() function in axes module of matplotlib library is used to get the facecolor of the Axes..

Syntax: Axes.get_facecolor(self)

Parameters: This method does not accept any parameters.

Returns:This method returns value of the facecolor of the Axes.

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

Example 1:

# Implementation of matplotlib function 
import numpy as np 
import matplotlib.pyplot as plt 
    
x = np.arange(-5, 5, 0.01) 
y1 = -3 * x*x + 10 * x + 10
y2 = 3 * x*x + x 
    
fig, ax = plt.subplots() 
ax.plot(x, y1, x, y2, color ='black') 
ax.fill_between(x, y1, y2, where = y2 >y1, 
                facecolor ='green', alpha = 0.8) 
ax.fill_between(x, y1, y2, where = y2 <= y1,'  
               facecolor ='black', alpha = 0.8) 
  
x = ax.get_facecolor() 
ax.text(-2, 80, "Value of facecolor : " +str(x), 
        style ='italic', fontsize = 10,  
        color ="green") 
ax.set_title('matplotlib.axes.Axes.get_facecolor()\ 
 Example\n', fontsize = 12, fontweight ='bold') 
plt.show() 

Output:

Example 2:

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import numpy as np 
   
data = ((30, 1000), (10, 28), (100, 30), 
        (500, 800), (50, 10)) 
   
dim = len(data[0]) 
w = 0.6
dimw = w / dim 
   
fig, ax = plt.subplots() 
x = np.arange(len(data)) 
for i in range(len(data[0])): 
    y = [d[i] for d in data] 
    b = ax.bar(x + i * dimw, y, dimw, bottom = 0.001) 
   
ax.set_xticks(x + dimw / 2) 
ax.set_xticklabels(map(str, x)) 
ax.set_yscale('log') 
  
x = ax.get_facecolor() 
ax.text(1, 2.3*(10**3), "Value of facecolor : " +str(x),  
        style ='italic', fontsize = 10,  
        color ="green") 
ax.set_title('matplotlib.axes.Axes.get_facecolor()\ 
 Example\n', fontsize = 12, fontweight ='bold') 
plt.show() 