Python中的 Matplotlib.artist.Artist.set_clip_path()

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_path() 方法

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

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

Parameters: This method accepts only two parameters.

• path: This parameter is the clip path.
• transform: This parameter in which Path is converted to a TransformedPath using transform.

Returns: This method does not return any value.

下面的示例说明了 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：