Python中的 Matplotlib.axis.Axis.get_ticklines()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_ticklines()函数

matplotlib 库的轴模块中的Axis.get_ticklines()函数用于获取刻度线作为 Line2D 实例的列表。

Syntax: Axis.get_ticklines(self, minor=False) 

Parameters: This method accepts the following parameters. 

• minor : This parameter contains the boolean value. If True return the minor ticklines, else return the major ticklines.

Return value: This method returns the tick lines as a list of Line2D instances. 

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

示例 1：

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis  
import numpy as np 
import matplotlib.pyplot as plt 
from matplotlib.patches import Polygon 
      
      
def func(x): 
    return (x - 4) * (x - 6) * (x - 5) + 100
      
      
a, b = 2, 9  # integral limits 
x = np.linspace(0, 10) 
y = func(x) 
      
fig, ax = plt.subplots() 
ax.plot(x, y, "k", linewidth = 2) 
ax.set_ylim(bottom = 0) 
      
# Make the shaded region 
ix = np.linspace(a, b) 
iy = func(ix) 
verts = [(a, 0), *zip(ix, iy), (b, 0)] 
    
poly = Polygon(verts, facecolor ='green', 
               edgecolor ='0.5', alpha = 0.4) 
ax.add_patch(poly) 
      
ax.text(0.5 * (a + b), 30,  
        r"$\int_a ^ b f(x)\mathrm{d}x$", 
        horizontalalignment ='center',  
        fontsize = 20) 
      
fig.text(0.9, 0.05, '$x$') 
fig.text(0.1, 0.9, '$y$') 
      
ax.spines['right'].set_visible(False) 
ax.spines['top'].set_visible(False) 
    
ax.set_xticks((a, b-a, b)) 
ax.set_xticklabels(('$a$', '$valx$', '$b$'))
  
fig.suptitle('Matplotlib.axis.Axis.get_ticklines()\n\
Function Example', fontweight ="bold")  
ax.grid()
   
print("Value of get_ticklines() :")
for i in ax.xaxis.get_ticklines():
    print(i)
      
plt.show()

输出：

Value of get_ticklines() :
Line2D()
Line2D()
Line2D()
Line2D()
Line2D()
Line2D()

示例 2：

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis  
import numpy as np 
import matplotlib.pyplot as plt 
      
# Fixing random state for reproducibility 
np.random.seed(19680801) 
      
x = np.linspace(0, 2 * np.pi, 100) 
y = np.sin(x) 
y2 = y + 0.2 * np.random.normal(size = x.shape) 
      
fig, ax = plt.subplots() 
ax.plot(x, y) 
ax.plot(x, y2) 
     
ax.set_xticks([0, np.pi, 2 * np.pi]) 
ax.set_xticklabels(['0', r'$\pi$', r'2$\pi$'])
  
for line in ax.yaxis.get_ticklines():
    # line is a Line2D instance
    line.set_color('tab:green')
    line.set_markersize(25)
    line.set_markeredgewidth(3)
      
ax.spines['left'].set_bounds(-1, 1) 
ax.spines['right'].set_visible(False) 
ax.spines['top'].set_visible(False) 
  
fig.suptitle('Matplotlib.axis.Axis.get_ticklines()\n\
Function Example', fontweight ="bold")  
ax.grid()
      
plt.show()

输出：