Matplotlib.axes.axes.get_ygridlines()

Matplotlib是Python中的一个库，它是NumPy库的数值-数学扩展。Axes包含了大多数图形元素:Axis、Tick、Line2D、Text、Polygon等，并设置坐标系。Axes的实例通过callbacks属性支持回调。

函数:Matplotlib.axes.axes.get_ygridlines()

matplotlib库的Axes模块中的Axes.get_ygridlines()函数用于返回作为Line2D实例列表的y网格线。

语法:Axes.get_ygridlines(self)

参数:该方法不接受任何参数。

返回值:该方法将y网格线作为Line2D实例的列表返回。

下面的例子演示了matplotlib.axes.axes.get_ygridlines()函数在matplotlib.axes中的作用:

示例1

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.transforms as mtransforms
  
  
fig, ax = plt.subplots()
ax.plot(range(12, 24), range(12))
ax.set_yticks((2, 5, 7, 10))
ax.set_yticklabels(("Label-1", "Label-2",
                    "Label-3", "Label-4"))
   
w = ax.get_ygridlines()
ax.text(15, 8, "ygridlines values : ", 
       fontweight ="bold")
xx = 8
for i in w:
    ax.text(15, xx-0.55, str(i), 
           fontweight ="bold")
    xx-= 0.55
  
fig.suptitle('matplotlib.axes.Axes.get_ygridlines()\
 function Example\n\n', fontweight ="bold")
plt.show()

输出:

示例2

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.gridspec as gridspec
  
  
fs = 1000
t = np.linspace(0, 0.3, 301)
A = np.array([2, 8]).reshape(-1, 1)
f = np.array([150, 140]).reshape(-1, 1)
xn = (A * np.sin(2 * np.pi * f * t)).sum(axis = 0)
xn += 5 * np.random.randn(*t.shape)
    
fig, ax = plt.subplots()
    
yticks = [-40, -15, 10]
    
ax.psd(xn, NFFT = 301, Fs = fs, 
      window = mlab.window_none, 
      pad_to = 1024,
      scale_by_freq = True)
  
ax.set_yticks(yticks)
ax.set_yticklabels(("Low-1", "High", "Low-2"))
ax.grid(True)
   
w = ax.get_ygridlines()
ax.text(150, 6, "ygridlines values : ", 
        fontweight ="bold")
xx = 6
for i in w:
    ax.text(150, xx-3, str(i), fontweight ="bold")
    xx-= 3
  
fig.suptitle('matplotlib.axes.Axes.get_ygridlines()\
 function Example\n\n', fontweight ="bold")
plt.show()

输出: