Matplotlib.axis.Axis.set_clip_box() function in Python
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.Axis.set_clip_box() Function
The Axis.set_clip_box() function in axis module of matplotlib library is used to set the artist’s clip Bbox.
Syntax: Axis.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.Axis.set_clip_box() function in matplotlib.axis:
Example 1:
Python3
from matplotlib.axis import Axis
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:
Axis.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.Axis.set_clip_box() \
function Example\n', fontweight = "bold" )
plt.show()
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Output:
Example 2:
Python3
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Ellipse
NUM = 200
ells = [Ellipse(xy = np.random.rand( 2 ) * 10 ,
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)
Axis.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 ))
ax.set_xlim( 3 , 7 )
ax.set_ylim( 3 , 7 )
fig.suptitle('matplotlib.axis.Axis.set_clip_box() \
function Example\n', fontweight = "bold" )
plt.show()
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Output:
Last Updated :
10 Jun, 2020
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