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_box() Function
The Tick.set_clip_box() function in axis module of matplotlib library is used to set the artist’s clip Bbox.
Syntax: Tick.set_clip_box(self, clipbox)
Parameters: This method accepts the following parameters.
- clipbox: This parameter is the Bbox.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Tick.set_clip_box() 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 = 10.0 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: Tick.set_clip_box(e, ax.bbox) e.set_alpha(0.1) ax.add_artist(e) plt.xlim(-1, 5) plt.ylim(-1, 5) fig.suptitle('matplotlib.axis.Tick.set_clip_box() \ 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 numpy as np from matplotlib.patches import Ellipse NUM = 200 ells = [Ellipse(xy = np.random.rand(2), width = np.random.rand(), height = np.random.rand(), angle = np.random.rand() * 360) for i in range(NUM)] fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'}) for e in ells: ax.add_artist(e) Tick.set_clip_box(e, ax.bbox) e.set_clip_box(ax.bbox) e.set_alpha(np.random.rand()) e.set_facecolor(np.random.rand(4)) fig.suptitle('matplotlib.axis.Tick.set_clip_box() \ function Example', fontweight ="bold") plt.show() |
Output:
