Matplotlib.artist.artist.get_clip_on()

matplotlib库的artist模块中的get_clip_on()方法用于获取艺术家是否使用剪切。

语法: artist.get_clip_on(self)

参数:该方法不接受任何参数。

返回:该方法返回艺术家是否使用剪辑。

下面的例子演示了matplotlib中的matplotlib.artist.artist.get_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) 
    
print("Value Return by get_clip_on() : ", 
      Artist.get_clip_on(ax))  
          
fig.suptitle('matplotlib.artist.Artist.get_clip_on()\
function Example', fontweight ="bold") 
  
plt.show()

输出:

Value Return by get_clip_on() :  True

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, False) 
ax.add_patch(arrow1) 
     
ax.set_xlim(0, 30) 
ax.set_ylim(0, 80) 
    
print("Value Return by get_clip_on() : ", 
      Artist.get_clip_on(arrow1))  
          
fig.suptitle('matplotlib.artist.Artist.get_clip_on()\
function Example', fontweight ="bold") 
  
plt.show()

输出:

Value Return by get_clip_on() :  False