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Python Matplotlib.axes.Axes.get_clip_box()用法及代码示例


Matplotlib是Python中的一个库,它是数字的-NumPy库的数学扩展。轴类包含大多数图形元素:Axis,Tick,Line2D,Text,Polygon等,并设置坐标系。 Axes实例通过callbacks属性支持回调。

matplotlib.axes.Axes.get_clip_box()函数

matplotlib库的axiss模块中的Axes.get_clip_box()函数用于获取剪贴板。

用法: Axes.get_clip_box(self)


参数:此方法不接受任何参数。

返回:此方法返回动画状态。

以下示例说明了matplotlib.axes中的matplotlib.axes.Axes.get_clip_box()函数:

范例1:

# Implementation of matplotlib function 
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(e.get_clip_box()) 
    e.set_alpha(0.1) 
    ax.add_artist(e) 
   
plt.xlim(-1, 5) 
plt.ylim(-1, 5) 
  
fig.suptitle('matplotlib.axes.Axes.get_clip_box() \ 
function Example\n\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.]]))))

范例2:

# Implementation of matplotlib function 
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(e.get_clip_box()) 
        x+= 1
     
ax.set_xlim(3, 7) 
ax.set_ylim(3, 7) 
  
fig.suptitle('matplotlib.axes.Axes.get_clip_box()\ 
 function Example\n\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.]]))))



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注:本文由纯净天空筛选整理自SHUBHAMSINGH10大神的英文原创作品 Matplotlib.axes.Axes.get_clip_box() in Python。非经特殊声明,原始代码版权归原作者所有,本译文未经允许或授权,请勿转载或复制。