Python中的 Matplotlib.artist.Artist.set_clip_on()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 Artist 类包含呈现为 FigureCanvas 的对象的 Abstract 基类。图中所有可见元素都是 Artist 的子类。

matplotlib.artist.Artist.set_clip_on() 方法

matplotlib 库的艺术家模块中的set_clip_on() 方法用于设置艺术家是否使用剪辑。

Syntax: Artist.set_clip_on(self, b)

Parameters: This method accepts only one parameters.

• b: This parameter contains the boolean value.

Returns: This method does not return any value.

下面的示例说明了 matplotlib 中的 matplotlib.artist.Artist.set_clip_on()函数：

示例 1：

# Implementation of matplotlib function
from matplotlib.artist import Artist
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: 
    e.set_alpha(0.1) 
    ax.add_artist(e) 
        
ax.set_xlim(-1, 5) 
ax.set_ylim(-1, 5) 
Artist.set_clip_on(ax, b = False)
          
fig.suptitle('matplotlib.artist.Artist.set_clip_on()\
function Example', fontweight ="bold") 
  
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
from matplotlib.artist import Artist
import matplotlib.pyplot as plt 
import matplotlib.patches as mpatches 
import matplotlib.transforms as mtransforms 
    
    
x0 = -0.1
    
arrow_style ="simple, head_length = 15, \
head_width = 30, 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 = 5
y_head = 15
arrow1 = mpatches.FancyArrowPatch((x0, y_tail),  
                                  (x0, y_head), 
                                   arrowstyle = arrow_style, 
                                   transform = trans)
  
Artist.set_clip_on(arrow1, b = False)
ax.add_patch(arrow1) 
    
ax.set_xlim(0, 30) 
ax.set_ylim(0, 80)  
          
fig.suptitle('matplotlib.artist.Artist.set_clip_on()\
function Example', fontweight ="bold") 
  
plt.show()

输出：