Python中的 Matplotlib.axis.Axis.set_ticklabels()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.set_ticklabels()函数

matplotlib 库的轴模块中的Axis.set_ticklabels()函数用于设置刻度标签的文本值。

Syntax: Axis.set_ticklabels(self, ticklabels, \*args, minor=False, \*\*kwargs) 
 

Parameters: This method accepts the following parameters. 

• ticklabels : This parameter is the List of texts for tick labels.
• minor : This parameter contains the bool value.

Return value: This method returns the list of Texts. 

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

示例 1：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import numpy as np 
   
fig = plt.figure()
   
x = np.linspace(0,2*np.pi,100)
y = 2*np.sin(x)
   
ax = fig.add_subplot()
ax.plot(x,y)
  
ax.yaxis.set_ticklabels(['','a','b','c','d',
                         'e','f','g','h','i',
                         ''])  
ax.xaxis.set_ticklabels(['','A','B','C','D',
                         'E','F','G',''])
  
ax.grid() 
  
fig.suptitle("""matplotlib.axis.Axis.set_ticklabels()
function Example\n""", fontweight ="bold")  
    
plt.show()

输出：

示例 2：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import numpy as np 
  
  
fig = plt.figure()
x = np.linspace(-np.pi, np.pi, 100)
y = 2 * np.sin(x)
  
ax = fig.add_subplot()
ax.set_title('centered spines')
ax.plot(x, y)
  
ax.spines['left'].set_position('center')
ax.spines['right'].set_color('none')
ax.spines['bottom'].set_position('center')
ax.spines['top'].set_color('none')
  
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
ax.xaxis.set_ticklabels(['','A','B','C','D',
                         'E','F','G',''])
  
ax.grid() 
  
fig.suptitle("""matplotlib.axis.Axis.set_ticklabels()
function Example\n""", fontweight ="bold")  
    
plt.show()

输出：