Python中的 Matplotlib.axis.Tick.set_clip_box()函数
Matplotlib是Python中的一个库,它是 NumPy 库的数值数学扩展。它是Python中用于二维数组图的惊人可视化库,用于处理更广泛的 SciPy 堆栈。
Matplotlib.axis.Tick.set_clip_box()函数
matplotlib库的axis模块中的Tick.set_clip_box()函数用于设置艺术家的剪辑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.
以下示例说明了 matplotlib.axis 中的 matplotlib.axis.Tick.set_clip_box()函数:
示例 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()
=
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()
输出:
示例 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()
输出: