Python中的 Matplotlib.axis.Axis.get_label_position()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_label_position()函数

matplotlib库的axis模块中的Axis.get_label_position()函数用于获取标签位置。

Syntax: Axis.get_label_position(self) 

Parameters: This method does not accepts any parameter. 
 

Return value: This method returns the label position. 

以下示例说明了 matplotlib.axis 中的 matplotlib.axis.Axis.get_label_position()函数：

示例 1：

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
   
fig, ax2 = plt.subplots(sharex = True)
fig.subplots_adjust(left=0.2, wspace=0.6)
box = dict(facecolor='green', pad=5, alpha=0.2)
   
ax2.plot(20*np.random.rand(10))
ax2.xaxis.set_label_text('X - Label', bbox=box)
ax2.set_xlim(0, 10)
print("Position of Label :",ax2.xaxis.get_label_position())
    
fig.suptitle("Matplotlib.axis.Axis.get_label_position()\
Function Example", fontsize = 12, fontweight ='bold') 
  
plt.show()

输出：

Position of Label : bottom

示例 2：

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
    
fig, (ax1, ax2) = plt.subplots(2, 1, sharex = True)
fig.subplots_adjust(left=0.2, wspace=0.6)
box = dict(facecolor='green', pad=5, alpha=0.2)
    
np.random.seed(19680801)
ax1.plot(2*np.random.rand(10))
ax1.set_title('Label is not aligned')
ax1.yaxis.set_label_text('Default', bbox=box)
ax1.set_ylim(0, 20)
print("Position of Label in Axes 1 :",
      ax1.yaxis.get_label_position())
    
ax2.set_title('\nLabel is aligned')
ax2.plot(20*np.random.rand(10))
ax2.yaxis.set_label_text('Adjusted', bbox=box)
ax2.yaxis.set_label_position('right')
ax2.set_ylim(0, 20)
print("Position of Label in Axes 2 :",
      ax2.yaxis.get_label_position())
    
fig.suptitle("Matplotlib.axis.Axis.get_label_position()\
Function Example", fontsize = 12, fontweight ='bold')
  
plt.show()

输出：

Position of Label in Axes 1 : left
Position of Label in Axes 2 : right