Matplotlib.artist.artist.set_clip_path()

matplotlib库的artist模块中的set_clip_path()方法用于设置艺术家的剪辑路径。

语法:

Artist.set_clip_path(self, path, transform=None)

参数:该方法只接受两个参数。

• path:该参数为剪辑路径。
• transform:在这个参数中，Path使用transform转换为transformmedpath。

Returns:该方法不返回任何值。

下面的例子演示了matplotlib中的matplotlib.artist.artist.set_clip_path()函数:

示例1

输入图像:

# Implementation of matplotlib function
from matplotlib.artist import Artist
import matplotlib.pyplot as plt 
import matplotlib.patches as patches 
import matplotlib.cbook as cbook 
     
    
with cbook.get_sample_data('loggf.PNG') as image_file: 
    image = plt.imread(image_file) 
     
fig, ax = plt.subplots() 
im = ax.imshow(image) 
patch = patches.Rectangle((10, 10), 
                          560, 
                          500,  
                          transform = ax.transData) 
  
Artist.set_clip_path(im, patch) 
          
fig.suptitle('matplotlib.artist.Artist.set_clip_path()\
 function Example', fontweight ="bold") 
  
plt.show()

输出:

示例2

# Implementation of matplotlib function
from matplotlib.artist import Artist
import numpy as np 
import matplotlib.cm as cm 
import matplotlib.pyplot as plt 
from matplotlib.path import Path 
from matplotlib.patches import PathPatch 
     
    
delta = 0.025
    
x = y = np.arange(-3.0, 3.0, delta) 
X, Y = np.meshgrid(x, y) 
    
Z1 = np.exp(-X**2 - Y**2) 
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2) 
Z = (Z1 - Z2) * 2
     
path = Path([[0, 1], [1, 0], [0, -1], 
            [-1, 0], [0, 1]]) 
patch = PathPatch(path, facecolor ='none') 
     
fig, ax = plt.subplots() 
ax.add_patch(patch) 
     
im = ax.imshow(Z, 
               interpolation ='bilinear',  
               cmap = cm.gray, 
               origin ='lower',  
               extent =[-3, 3, -3, 3], 
               clip_path = patch,  
               clip_on = True) 
Artist.set_clip_path(im, patch) 
          
fig.suptitle('matplotlib.artist.Artist.set_clip_path()\
function Example', fontweight ="bold") 
  
plt.show()

输出: