Python中的 Matplotlib.figure.Figure.get_tightbbox()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 figure 模块提供了顶级 Artist，即 Figure，其中包含所有绘图元素。该模块用于控制所有绘图元素的子图和顶级容器的默认间距。

matplotlib.figure.Figure.get_tightbbox() 方法

matplotlib 库的 get_tightbbox() 方法figure 模块用于获取图形的（紧）边界框，以英寸为单位。

Syntax: get_tightbbox(self, renderer, bbox_extra_artists=None)

Parameters: This method accepts the following parameters.

• renderer : This parameter is the RendererBase instance
  renderer that will be used to draw the figures.
• bbox_extra_artists : This parameter is the list of artists to include in the tight bounding box.

Returns: This method return BboxBase that contains the bounding box.

下面的示例说明了 matplotlib.figure 中的 matplotlib.figure.Figure.get_tightbbox()函数：

示例 1：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
  
         
X = np.arange(-10, 10, 0.5)
Y = np.arange(-10, 10, 0.5)
U, V = np.meshgrid(X, Y)
     
fig, ax = plt.subplots()
  
ax.quiver(X, Y, U, V)
ax.invert_xaxis()
  
w = fig.get_tightbbox(fig.canvas.get_renderer(),
                      bbox_extra_artists = None)
   
print("Value Return by get_tightbbox():")
print(w)
    
fig.suptitle('matplotlib.figure.Figure.get_tightbbox()\
 function Example', fontweight ="bold") 
  
plt.show()

输出：

Value Return by get_tightbbox():
TransformedBbox(
Bbox(x0=27.65277777777777, y0=29.077777777777776, x1=576.0, y1=422.4),
Affine2D(
[[0.01 0. 0. ]
[0. 0.01 0. ]
[0. 0. 1. ]]))

示例 2：

# Implementation of matplotlib function 
import numpy as np 
import matplotlib.pyplot as plt 
     
   
xx = np.random.rand(16, 30) 
      
fig, ax = plt.subplots() 
      
m = ax.pcolor(xx) 
m.set_zorder(-20) 
  
w = fig.get_tightbbox(fig.canvas.get_renderer(),
                      bbox_extra_artists = None)
   
print("Value Return by get_tightbbox():")
print(w)
    
  
fig.suptitle('matplotlib.figure.Figure.get_tightbbox()\
 function Example', fontweight ="bold") 
  
plt.show()

输出：

Value Return by get_tightbbox():
TransformedBbox(
Bbox(x0=52.52777777777777, y0=29.077777777777776, x1=584.875, y1=427.9),
Affine2D(
[[0.01 0. 0. ]
[0. 0.01 0. ]
[0. 0. 1. ]]))