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Matplotlib.axis.Tick.get_figure() in Python

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  • Last Updated : 01 May, 2022
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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.Tick.get_figure() Function

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

Syntax: Tick.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.Tick.get_figure() function in matplotlib.axis: 

Example 1: 

Python3




# Implementation of matplotlib function
from matplotlib.axis import Tick
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(Tick.get_figure(ax)),
        fontweight="bold")
  
fig.suptitle("""matplotlib.axis.Tick.get_figure()
function Example\n""", fontweight="bold")
  
plt.show()

Output: 

 

 Example 2: 

Python3




# Implementation of matplotlib function
from matplotlib.axis import Tick
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(Tick.get_figure(ax)),
        fontweight="bold")
  
fig.suptitle("""matplotlib.axis.Tick.get_figure()
function Example\n""", fontweight="bold")
  
plt.show()

Output: 

 


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