Matplotlib.axis.Tick.get_figure() in Python
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:
# 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:
# 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:
