Python中的 Matplotlib.artist.Artist.get_transformed_clip_path_and_affine()

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.get_transformed_clip_path_and_affine() 方法

matplotlib 库的艺术家模块中的get_transformed_clip_path_and_affine() 方法用于获取应用了其变换的非仿射部分以及其变换的剩余仿射部分的剪辑路径。

Syntax: Artist.get_transformed_clip_path_and_affine(self)

Parameters: This method does not accepts any parameter.

Returns: This method return the clip path with the non-affine part of its transformation applied, and the remaining affine part of its transformation.

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

示例 1：

使用的图像：

# 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('image.PNG') as image_file: 
    image = plt.imread(image_file) 
       
fig, ax = plt.subplots() 
im = ax.imshow(image) 
patch = patches.Rectangle((0, 0), 260, 200,  
                          transform = ax.transData) 
  
# use of get_transformed_clip_path_and_affine() method
val = Artist.get_transformed_clip_path_and_affine(im)
ax.set_title("Value Return by get_transformed_clip_path_and_affine(): " 
             + str(val))
  
fig.suptitle('matplotlib.artist.Artist.get_transformed_clip_path_and_affine() \
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)
  
# use of get_transformed_clip_path_and_affine() method
val = Artist.get_transformed_clip_path_and_affine(im)
print("Value Return by get_transformed_clip_path_and_affine(): ")
for i in val: 
    print(i) 
  
fig.suptitle("""matplotlib.artist.Artist.get_transformed_clip_path_and_affine()
function Example""", fontweight="bold")
  
plt.show()

输出：

Value Return by get_transformed_clip_path_and_affine(): 
Path(array([[ 0.,  1.],
       [ 1.,  0.],
       [ 0., -1.],
       [-1.,  0.],
       [ 0.,  1.]]), None)
Affine2D(
    [[ 82.66666667   0.         328.        ]
     [  0.          61.6        237.6       ]
     [  0.           0.           1.        ]])