Python中的 Matplotlib.axis.Axis.get_majorticklabels()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_majorticklabels()函数

matplotlib 库的轴模块中的Axis.get_majorticklabels()函数用于获取主要刻度标签的 Text 实例列表。

Syntax: Axis.get_majorticklabels(self) 
 

Parameters: This method does not accepts any parameter. 
 

Return value: This method returns the list of Text instances for the major ticklabels. 

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

示例 1：

Python3

# Implementation of matplotlib function 
import numpy as np
from matplotlib.axis import Axis  
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
     
np.random.seed(19680801)
  
fig, ax = plt.subplots()
ax.plot(100*np.random.rand(20))
  
formatter = ticker.FormatStrFormatter('%1.2f')
Axis.set_major_formatter(ax.yaxis, formatter)
  
print("Value of get_major_ticks() :")
for i in ax.xaxis.get_majorticklabels():
    print(i)
      
plt.title("Matplotlib.axis.Axis.get_majorticklabels()\n\
Function Example", fontsize = 12, fontweight ='bold') 
plt.show()

输出：

Value of get_majorticklabels() :
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')

示例 2：

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis  
from matplotlib.artist import Artist  
import matplotlib.pyplot as plt  
import numpy as np  
       
np.random.seed(19680801)  
       
n = 100000
x = np.random.standard_normal(n)  
y = 2 * np.random.standard_normal(n)  
z =[1, 2, 3, 4]  
      
xmin = x.min()  
xmax = x.max()  
ymin = y.min()  
ymax = y.max()  
       
fig, ax = plt.subplots()  
hb = ax.hexbin(x, y, 
               gridsize = 50, 
               bins ='log', 
               cmap ='BuGn')  
    
ax.set(xlim =(xmin, xmax), ylim =(ymin, ymax)) 
ax.xaxis.set_ticklabels(["A","B","C","D","E","F","G","H","I","J","K"])
print("Value of get_majorticklabels() :")
for i in ax.xaxis.get_majorticklabels():
    print(i)
      
plt.title("Matplotlib.axis.Axis.get_majorticklabels()\n\
Function Example", fontsize = 12, fontweight ='bold') 
plt.show()

输出：

Value of get_majorticklabels() :
Text(0, 0, 'A')
Text(0, 0, 'B')
Text(0, 0, 'C')
Text(0, 0, 'D')
Text(0, 0, 'E')
Text(0, 0, 'F')
Text(0, 0, 'G')
Text(0, 0, 'H')
Text(0, 0, 'I')
Text(0, 0, 'J')
Text(0, 0, 'K')