Matplotlib.axes.Axes.get_clip_on() in Python

Last Updated : 30 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.get_clip_on() Function

The Axes.get_clip_on() function in axes module of matplotlib library is used to get whether the artist uses clipping.

Syntax: Axes.get_clip_on(self) Parameters: This method does not accepts any parameter. Returns: This method return whether the artist uses clipping.

Below examples illustrate the matplotlib.axes.Axes.get_clip_on() function in matplotlib.axes: Example 1:

Python3

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Ellipse

 
delta = 45.0
 
angles = np.arange(0, 360 + delta, delta)
ells = [Ellipse((2, 2), 5, 2, a) for a in angles]
 
fig, ax = plt.subplots()
 
for e in ells:
    e.set_alpha(0.1)
    ax.add_artist(e)
     
ax.set_xlim(-1, 5)
ax.set_ylim(-1, 5)

print("Value Return by get_clip_on() : ",
      ax.get_clip_on())
   
fig.suptitle('matplotlib.axes.Axes.get_clip_on()\
function Example\n\n', fontweight ="bold")

plt.show()

Output:

Value Return by get_clip_on() : True

Example 2:

Python3

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import matplotlib.transforms as mtransforms
 
x0 = -0.1
 
arrow_style ="simple, head_length = 15,\
head_width = 30, tail_width = 10"

rect_style ="simple, tail_width = 25"
line_style ="simple, tail_width = 1"
 
fig, ax = plt.subplots()
 
trans = mtransforms.blended_transform_factory(ax.transAxes,
                                              ax.transData)
 
y_tail = 5
y_head = 15
arrow1 = mpatches.FancyArrowPatch((x0, y_tail), 
                                  (x0, y_head), 
                                  arrowstyle = arrow_style,
                                  transform = trans)
arrow1.set_clip_on(False)
ax.add_patch(arrow1)
 
ax.set_xlim(0, 30)
ax.set_ylim(0, 80)

print("Value Return by get_clip_on() : ", 
      arrow1.get_clip_on())
   
fig.suptitle('matplotlib.axes.Axes.get_clip_on() \
function Example\n\n', fontweight ="bold")

plt.show()