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:
# 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:
# 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 = 5y_head = 15arrow1 = 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() |
Output:
Value Return by get_clip_on() : False
