Python中的 Matplotlib.axis.Axis.get_ticklabel_extents()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_ticklabel_extents()函数

matplotlib 库的轴模块中的Axis.get_ticklabel_extents()函数用于获取轴两侧刻度标签的范围

Syntax: Axis.get_ticklabel_extents(self, renderer) 
 

Parameters: This method accepts the following parameters. 

• renderer: This parameter is the RendererBase instance 
  renderer.

Return value: This method returns the extents of the tick labels on either side of the axes 

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

示例 1：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt 
import numpy as np 
     
     
X = np.arange(-5, 5, 1) 
Y = np.arange(-5, 5, 1) 
U, V = np.meshgrid(X, Y) 
       
fig, ax = plt.subplots() 
ax.quiver(X, Y, U, V) 
ax.invert_xaxis() 
w = Axis.get_ticklabel_extents(ax.xaxis,
                               fig.canvas.get_renderer()) 
     
print("Value Return :\n"+str(w)) 
ax.grid()
    
fig.suptitle("""matplotlib.axis.Axis.get_ticklabel_extents()
function Example\n""", fontweight ="bold")  
        
plt.show()

输出：

Value Return :
(Bbox([[98.10795454545453, 29.077777777777776], [513.6035353535353, 43.077777777777776]]), Bbox([[0.0, 0.0], [0.0, 0.0]]))

示例 2：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np  
import matplotlib.pyplot as plt  
        
xx = np.random.rand(10, 5)  
        
fig, ax = plt.subplots()  
        
m = ax.pcolor(xx)  
m.set_zorder(-2)
  
w = Axis.get_ticklabel_extents(ax.xaxis, fig.canvas.get_renderer()) 
     
print("Value Return :\n"+str(w)) 
ax.grid()
    
fig.suptitle("""matplotlib.axis.Axis.get_ticklabel_extents()
function Example\n""", fontweight ="bold")  
        
plt.show()

输出：

Value Return :
(Bbox([[75.5625, 29.077777777777776], [580.4375, 43.077777777777776]]), Bbox([[0.0, 0.0], [0.0, 0.0]]))