Matplotlib.axis.Tick.set_clip_on() function in Python Last Updated : 10 Jun, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report 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.set_clip_on() Function The Tick.set_clip_on() function in axis module of matplotlib library is used to set whether the artist uses clipping. Syntax: Tick.set_clip_on(self, b) Parameters: This method accepts the following parameters. b: This parameter contains the boolean value. Return value: This method does not return any value. Below examples illustrate the matplotlib.axis.Tick.set_clip_on() function in matplotlib.axis:Example 1: Python3 # Implementation of matplotlib function from matplotlib.axis import Tick import matplotlib.pyplot as plt import numpy as np from matplotlib.patches import Ellipse delta = 5.0 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) Tick.set_clip_on(ax, b = False) fig.suptitle('matplotlib.axis.Tick.set_clip_on() \ function Example', fontweight ="bold") plt.show() Output: Example 2: Python3 # Implementation of matplotlib function from matplotlib.axis import Tick import matplotlib.pyplot as plt import matplotlib.patches as mpatches import matplotlib.transforms as mtransforms x0 = 1.05 arrow_style ="simple, head_length = 15, \ head_width = 25, 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 = 0 y_head = 10 arrow1 = mpatches.FancyArrowPatch((x0, y_tail), (x0, y_head), arrowstyle = arrow_style, transform = trans) Tick.set_clip_on(arrow1, b = False) ax.add_patch(arrow1) ax.set_xlim(0, 10) ax.set_ylim(0, 10) fig.suptitle('matplotlib.axis.Tick.set_clip_on() \ function Example', fontweight ="bold") plt.show() Output: Comment More infoAdvertise with us Next Article Matplotlib.axis.Tick.set() function in Python S SHUBHAMSINGH10 Follow Improve Article Tags : Python Python-matplotlib Matplotlib-Axis Class Practice Tags : python Similar Reads Matplotlib.axis.Tick.set_clip_path() function in Python Matplotlib is a library in Python and it is numerical â 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.set_clip_path() Function The Tick.set_clip_path() function 2 min read Matplotlib.axis.Tick.set_clip_box() function in Python Matplotlib is a library in Python and it is numerical â 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.set_clip_box() Function The Tick.set_clip_box() function 2 min read Matplotlib.axis.Tick.set() function in Python Matplotlib is a library in Python and it is numerical â 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.set() Function The Tick.set() function in axis module of m 2 min read Matplotlib.axis.Axis.set_clip_on() function in Python Matplotlib is a library in Python and it is numerical â 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.Axis.set_clip_on() Function The Axis.set_clip_on() function in 2 min read Matplotlib.axis.Axis.set_ticks() function in Python Matplotlib is a library in Python and it is numerical â 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.Axis.set_ticks() Function The Axis.set_ticks() function in axis 2 min read Matplotlib.axis.Tick.set_figure() function in Python Matplotlib is a library in Python and it is numerical â 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.set_figure() Function The Tick.set_figure() function in ax 2 min read Like