Python中的 Matplotlib.axis.Axis.get_transformed_clip_path_and_affine()函数

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。它是Python中用于二维数组图的惊人可视化库，用于处理更广泛的 SciPy 堆栈。

matplotlib.axis.Axis.get_transformed_clip_path_and_affine()函数

matplotlib 库的轴模块中的Axis.get_transformed_clip_path_and_affine()函数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: Axis.get_transformed_clip_path_and_affine(self) 

Parameters: This method does not accepts any parameter. 
 

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

以下示例说明了 matplotlib.axis 中的 matplotlib.axis.Axis.get_transformed_clip_path_and_affine()函数：

示例 1：

使用的图像：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
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((50, 50), 200, 200,   
                          transform = ax.transData)  
    
# use of get_transformed_clip_path_and_affine() method 
val = Axis.get_transformed_clip_path_and_affine(im) 
ax.set_title("Value Return by get_transformed_clip_path_and_affine(): " 
             + str(val)) 
  
fig.suptitle("""matplotlib.axis.Axis.get_transformed_clip_path_and_affine()
function Example\n""", fontweight ="bold")  
    
plt.show()

输出：

示例 2：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
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 = Axis.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.axis.Axis.get_transformed_clip_path_and_affine()
function Example\n""", 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.        ]])