Python中的 Matplotlib.axis.Axis.get_minorticklocs()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_minorticklocs()函数

matplotlib 库的轴模块中的Axis.get_minorticklocs()函数用于获取数据坐标中的次要刻度位置数组。

Syntax: Axis.get_minorticklocs(self) 

Parameters: This method does not accepts any parameter. 
 

Return value: This method returns the array of minor tick locations in data coordinates. 

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

示例 1：

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis  
from matplotlib.artist import Artist 
from mpl_toolkits.mplot3d import axes3d   
import matplotlib.pyplot as plt
import matplotlib
           
fig, ax = plt.subplots()   
           
def tellme(s):   
    ax.set_title(s, fontsize = 16)   
    fig.canvas.draw()  
    renderer = fig.canvas.renderer  
    Artist.draw(ax, renderer)  
         
tellme("Matplotlib.axis.Axis.get_minorticklocs()\n\
Function Example")
ax.grid()  
   
print("Value of get_minorticklocs() :")
ax.xaxis.set_minor_locator(matplotlib.ticker.MultipleLocator(1))
for i in ax.xaxis.get_minorticklocs():
    print(i)
       
plt.show()

输出：

Value of get_minorticklocs() :
-1.0
2.0

示例 2：

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis  
from matplotlib.artist import Artist 
from mpl_toolkits.mplot3d import axes3d   
import matplotlib.pyplot as plt
import matplotlib
          
       
fig = plt.figure()   
ax = fig.add_subplot(111, projection ='3d')   
          
X, Y, Z = axes3d.get_test_data(0.1)   
ax.plot_wireframe(X, Y, Z, rstride = 5,    
                  cstride = 5)   
          
   
ax.view_init(30, 50)  
fig.canvas.draw()  
renderer = fig.canvas.renderer  
Artist.draw(ax, renderer)
ax.xaxis.set_minor_locator(matplotlib.ticker.MultipleLocator(8))
   
fig.suptitle('Matplotlib.axis.Axis.get_minorticklocs()\n\
Function Example')  
ax.grid()
   
print("Value of get_minorticklocs() :")
for i in ax.xaxis.get_minorticklocs():
    print(i)
      
plt.show()

输出：

Value of get_minorticklocs() :
-32.0
-24.0
-16.0
-8.0
8.0
16.0
24.0
32.0