Python Matplotlib.axis.Axis.get_clip_box()用法及代碼示例

Matplotlib是Python中的一個庫，它是數字的-NumPy庫的數學擴展。它是Python中令人驚歎的可視化庫，用於數組的2D圖，並用於與更廣泛的SciPy堆棧配合使用。

Matplotlib.axis.Axis.get_clip_box()函數

matplotlib庫的軸模塊中的Axis.get_clip_box()函數用於獲取剪貼板。

用法： Axis.get_clip_box(self) 
 

以下示例說明了matplotlib.axis中的matplotlib.axis.Axis.get_clip_box()函數：

範例1：

# 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()

輸出：

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.]]))))

範例2：

# 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()

輸出：

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.]]))))