Matplotlib is a library in Python and it is numerical ā 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.
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Matplotlib.axis.Tick.set_clip_box() Function
The Tick.set_clip_box() function in axis module of matplotlib library is used to set the artistās clip Bbox.Ā
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Syntax: Tick.set_clip_box(self, clipbox)Ā
ĀParameters: This method accepts the following parameters.Ā
- clipbox: This parameter is the Bbox.
Return value: This method does not return any value.Ā
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 pltĀ Ā import numpy as npĀ Ā from matplotlib.patches import EllipseĀ Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā delta = 10.0Ā Ā Ā Ā Ā Ā Ā angles = np.arange(0, 360 + delta, delta)Ā Ā ells = [Ellipse((2, 2), 5, 2, a) for a in angles]Ā Ā Ā Ā Ā Ā Ā Ā Ā fig, ax = plt.subplots()Ā Ā Ā Ā Ā Ā Ā Ā Ā for e in ells:Ā Ā Ā Ā Ā Ā Tick.set_clip_box(e, ax.bbox)Ā Ā Ā Ā Ā Ā e.set_alpha(0.1)Ā Ā Ā Ā Ā Ā ax.add_artist(e)Ā Ā Ā Ā Ā Ā Ā Ā Ā plt.xlim(-1, 5)Ā Ā plt.ylim(-1, 5)Ā Ā Ā fig.suptitle('matplotlib.axis.Tick.set_clip_box() \ function Example', fontweight ="bold")Ā Ā Ā Ā Ā Ā Ā plt.show()Ā = |
Output:Ā
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import matplotlib.pyplot as pltĀ Ā import numpy as npĀ Ā from matplotlib.patches import EllipseĀ Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā NUM = 200Ā Ā Ā Ā Ā Ā Ā Ā Ā ells = [Ellipse(xy = np.random.rand(2),Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā width = np.random.rand(),Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā height = np.random.rand(),Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā angle = np.random.rand() * 360)Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā for i in range(NUM)]Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'})Ā Ā Ā Ā Ā Ā Ā for e in ells:Ā Ā Ā Ā Ā Ā ax.add_artist(e)Ā Ā Ā Ā Ā Tick.set_clip_box(e, ax.bbox)Ā Ā Ā Ā Ā Ā e.set_clip_box(ax.bbox)Ā Ā Ā Ā Ā Ā e.set_alpha(np.random.rand())Ā Ā Ā Ā Ā Ā e.set_facecolor(np.random.rand(4))Ā Ā Ā Ā fig.suptitle('matplotlib.axis.Tick.set_clip_box() \ function Example', fontweight ="bold")Ā Ā Ā Ā Ā Ā Ā plt.show()Ā |
Output:Ā
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