Matplotlib.axis.Tick.get_figure() in Python

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: