Python中的 Matplotlib.figure.Figure.get_tight_layout()

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_tight_layout() 方法

matplotlib库的get_tight_layout()方法figure模块用于检查绘制时是否调用了tight_layout。

Syntax: get_size_inches(self)

Parameters: This method does not accept any parameters.

Returns: This method return whether tight_layout is called.

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

示例 1：

# Implementation of matplotlib function 
import numpy as np
import matplotlib.pyplot as plt
   
  
x = np.arange(-5, 5, 0.01)
y1 = -3 * x*x + 10 * x + 10
y2 = 3 * x*x + x
   
fig, ax = plt.subplots()
fig.tight_layout()
ax.plot(x, y1, x, y2, color ='black')
  
ax.fill_between(x, y1, y2, where = y2 >y1,
                facecolor ='green',
                alpha = 0.8)
ax.fill_between(x, y1, y2, where = y2 <= y1,
                facecolor ='black',
                alpha = 0.8)
  
w = fig.get_tight_layout()
  
ax.text(-3, -80,
        "Value Return by get_tight_layout() : " 
        + str(w),
        fontweight ="bold")
      
fig.canvas.draw()
fig.suptitle('matplotlib.figure.Figure.get_tight_layout()\
 function Example', fontweight ="bold") 
  
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.tri as mtri
import numpy as np
     
      
# Create triangulation.
x = np.asarray([0, 1, 2, 3, 0.5,
                1.5, 2.5, 1, 2,
                1.5])
y = np.asarray([0, 0, 0, 0, 1.0,
                1.0, 1.0, 2, 2, 
                3.0])
triangles = [[0, 1, 4], [1, 5, 4], 
             [2, 6, 5], [4, 5, 7],
             [5, 6, 8], [5, 8, 7], 
             [7, 8, 9], [1, 2, 5], 
             [2, 3, 6]]
  
triang = mtri.Triangulation(x, y, triangles)
z = np.cos(1.5 * x) * np.cos(1.5 * y)
     
fig, axs = plt.subplots()
axs.tricontourf(triang, z)
axs.triplot(triang, 'go-', color ='white')
fig.tight_layout(rect =(0.1, 0.1, 0.95, 0.95))
  
w = fig.get_tight_layout()
axs.text(.7, 2.8, 
         "Value Return by get_tight_layout() : " 
         + str(w),
         fontweight ="bold")
      
fig.canvas.draw()
  
fig.suptitle('matplotlib.figure.Figure.get_tight_layout() \
function Example', fontweight ="bold") 
  
plt.show()

输出：