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

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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.set_figure() Function

The Axis.set_figure() function in axis module of matplotlib library is used to set the Figure for this Axes.

Syntax: Axis.set_figure(self, fig)

Parameters: This method accepts the following parameters.

fig: his parameter is the Figure instance.

Return value: This method does not return any value.

Below examples illustrate the matplotlib.axis.Axis.set_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, 10)  
line = GFGfun(x, y, mfc ='green',  
              ms = 12,   
              label ='Set_Figure')  
     
line.text.set_color('green')  
line.text.set_fontsize(16)  
     
ax.add_line(line) 
  
fig.suptitle('matplotlib.axis.Axis.set_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, 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)  
  
fig.suptitle('matplotlib.axis.Axis.set_figure() \ 
function Example\n', fontweight ="bold")   
    
plt.show()  