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Matplotlib.axis.XAxis.get_figure() function in Python
  • Last Updated : 10 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.XAxis.get_figure() Function

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

Syntax: XAxis.get_figure(self)

Parameters: This method does not accepts any parameter.

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



Example 1:




# Implementation of matplotlib function 
from matplotlib.axis import XAxis 
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(3, 3
        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, 30
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(0.4, 0.7, "Value Return : "
        +str(XAxis.get_figure(ax)), 
        fontweight ="bold"
              
fig.suptitle("""matplotlib.axis.XAxis.get_figure() 
function Example\n""", fontweight ="bold") 
      
plt.show() 

Output:

Example 2:




# Implementation of matplotlib function 
from matplotlib.axis import XAxis 
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, 20
line = GFGfun(x, y, 
            mfc ='green', ms = 14, label ='Label'
      
line.text.set_color('green'
line.text.set_fontsize(17
      
ax.add_line(line) 
      
ax.text(0.4, 0.9, "Value Return : "
        +str(XAxis.get_figure(ax)), 
        fontweight ="bold"
  
fig.suptitle("""matplotlib.axis.XAxis.get_figure() 
function Example\n""", fontweight ="bold") 
      
plt.show() 

Output:

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