Python中的 Matplotlib.axis.Axis.get_clip_box()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_clip_box()函数

matplotlib库的axis模块中的axis.get_clip_box()函数用于获取clipbox..

Syntax: Axis.get_clip_box(self) 
 

Parameters: This method does not accepts any parameter. 
 

Return value: This method return the clipbox. 

下面的示例说明了 matplotlib.axis 中的 matplotlib.axis.Axis.get_clip_box()函数：

示例 1：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
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()  
      
print("Value Return by get_clip_box()")  
for e in ells:  
    e.set_clip_box(ax.bbox)  
    print(Axis.get_clip_box(e))  
    e.set_alpha(0.1)  
    ax.add_artist(e)  
       
plt.xlim(-1, 5)  
plt.ylim(-1, 5)  
  
fig.suptitle("""matplotlib.axis.Axis.get_clip_box()
function Example\n""", fontweight ="bold")  
    
plt.show()

输出：

Value Return by get_clip_box()
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100.   0.   0.]
                 [  0. 100.   0.]
                 [  0.   0.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100.   0.   0.]
                 [  0. 100.   0.]
                 [  0.   0.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100.   0.   0.]
                 [  0. 100.   0.]
                 [  0.   0.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100.   0.   0.]
                 [  0. 100.   0.]
                 [  0.   0.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100.   0.   0.]
                 [  0. 100.   0.]
                 [  0.   0.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100.   0.   0.]
                 [  0. 100.   0.]
                 [  0.   0.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100.   0.   0.]
                 [  0. 100.   0.]
                 [  0.   0.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100.   0.   0.]
                 [  0. 100.   0.]
                 [  0.   0.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100.   0.   0.]
                 [  0. 100.   0.]
                 [  0.   0.   1.]]))))

示例 2：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt  
import numpy as np  
from matplotlib.patches import Ellipse  
      
      
NUM = 200
         
ells = [Ellipse(xy = np.random.rand(2) * 10,  
                width = np.random.rand(),  
                height = np.random.rand(),  
                angle = np.random.rand() * 360)  
        for i in range(NUM)]  
         
fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'})  
      
print("Value Return by get_clip_box()")  
x = 0
      
for e in ells:  
    ax.add_artist(e)  
    e.set_clip_box(ax.bbox)  
    e.set_alpha(np.random.rand())  
    e.set_facecolor(np.random.rand(4))  
    
    if x<2:  
        print(Axis.get_clip_box(e))  
        x+= 1
         
ax.set_xlim(3, 7)  
ax.set_ylim(3, 7)  
  
fig.suptitle("""matplotlib.axis.Axis.get_clip_box()
function Example\n""", fontweight ="bold")  
    
plt.show()

输出：

Value Return by get_clip_box()
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
            Affine2D(
                [[100.   0.   0.]
                 [  0. 100.   0.]
                 [  0.   0.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100.   0.   0.]
                 [  0. 100.   0.]
                 [  0.   0.   1.]]))))