Matplotlib.axis.axis.get_ticklabel_extents() - 获取轴两侧的刻度标签的区段

Matplotlib.axis.axis.get_ticklabel_extents()

matplotlib库Axis模块中的Axis.get_ticklabel_extents()函数用于获取轴两侧的刻度标签的区段

语法:Axis.get_ticklabel_extents(self, renderer)

参数:该方法接受以下参数。

  • renderer:这个参数是RendererBase实例
    渲染器。

返回值:该方法返回轴两侧标记标签的范围

下面的例子说明了matplotlib.axis.axis.get_ticklabel_extents()函数在matplotlib.axis中的作用:

示例1

# 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:

Matplotlib.axis.axis.get_ticklabel_extents()

Value Return:

(Bbox([[98.10795454545453, 29. 0777777777776], [513. 603535353535353, 43.0777777777776]]), Bbox([[0.0, 0.0], [0.0, 0.0]]))

示例2

# 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:

Matplotlib.axis.axis.get_ticklabel_extents()

Value Return:

(Bbox ([[75.5625, 29.077777777777776], [580.4375, 43.077777777777776]]), Bbox ([[0.0, 0.0], [0.0, 0.0]]))

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matplotlib.axis