Matplotlib.axis.Axis.get_figure() function in Python

Last Updated : 08 Jun, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

Matplotlib.axis.Axis.get_figure() Function

The Axis.get_figure() function in axis module of matplotlib library is used to get the Figure instance the artist belongs to.

Syntax: Axis.get_figure(self)

Parameters: This method does not accepts any parameter.

Return value: This method return the Figure instance the artist belongs to.

Below examples illustrate the matplotlib.axis.Axis.get_figure() function in matplotlib.axis:

Example 1:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis 
import numpy as np  
import matplotlib.pyplot as plt  
import matplotlib.lines as lines  
import matplotlib.transforms as mtransforms  
import matplotlib.text as mtext  
     
     
class GFGfun(lines.Line2D):  
    
    def __init__(self, *args, **kwargs):  
        self.text = mtext.Text(0, 0, '')  
        lines.Line2D.__init__(self, *args, **kwargs)  
        self.text.set_text(self.get_label())  
     
    def set_figure(self, figure):  
        self.text.set_figure(figure)  
        lines.Line2D.set_figure(self, figure)  
     
    def set_axes(self, axes):  
        self.text.set_axes(axes)  
        lines.Line2D.set_axes(self, axes)  
     
    def set_transform(self, transform):  
        # 2 pixel offset  
        texttrans = transform + mtransforms.Affine2D().translate(2, 2)  
        self.text.set_transform(texttrans)  
        lines.Line2D.set_transform(self, transform)  
     
    def set_data(self, x, y):  
        if len(x):  
            self.text.set_position((x[-1], y[-1]))  
     
        lines.Line2D.set_data(self, x, y)  
     
    def draw(self, renderer):  
        lines.Line2D.draw(self, renderer)  
        self.text.draw(renderer)  
     
     
np.random.seed(10**7)  
     
fig, ax = plt.subplots()  
x, y = np.random.rand(2, 20)  
line = GFGfun(x, y, mfc ='green',  
              ms = 12,  
              label ='Label')  
     
line.text.set_color('green')  
line.text.set_fontsize(16)  
     
ax.add_line(line)  
     
ax.text(0.2, 0.8, "Value Return : "
        +str(Axis.get_figure(ax)),   
        fontweight ="bold") 
            
fig.suptitle("""matplotlib.axis.Axis.get_figure() 
function Example\n""", fontweight ="bold")   
    
plt.show() 

Output:

Example 2:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis 
import numpy as np  
import matplotlib.pyplot as plt  
import matplotlib.lines as lines  
import matplotlib.transforms as mtransforms  
import matplotlib.text as mtext  
     
    
class GFGfun(lines.Line2D):  
    
    def __init__(self, *args, **kwargs):  
        self.text = mtext.Text(0, 0, '')  
        lines.Line2D.__init__(self, *args, **kwargs)  
        self.text.set_text(self.get_label())  
     
    def set_figure(self, figure):  
        self.text.set_figure(figure)  
        lines.Line2D.set_figure(self, figure)  
     
     
np.random.seed(10**7)  
     
     
fig, ax = plt.subplots()  
x, y = np.random.rand(2, 10)  
line = GFGfun(x, y,  
              mfc ='green', ms = 12, label ='Label')  
     
line.text.set_color('green')  
line.text.set_fontsize(16)  
     
ax.add_line(line)  
    
ax.text(0.2, 0.8, "Value Return : "
        +str(Axis.get_figure(ax)),  
        fontweight ="bold") 
  
fig.suptitle("""matplotlib.axis.Axis.get_figure() 
function Example\n""", fontweight ="bold")   
    
plt.show() 