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

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  • Last Updated : 08 Jun, 2020
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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()

Output: 
 

 


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