Python中的 Matplotlib.axes.Axes.get_lines()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 Axes 类包含大部分图形元素：Axis、Tick、Line2D、Text、Polygon 等，并设置坐标系。 Axes 的实例通过回调属性支持回调。

matplotlib.axes.Axes.get_lines()函数

matplotlib 库的 axes 模块中的Axes.get_lines()函数用于返回轴包含的线列表

Syntax: Axes.get_lines(self)

Parameters: This method does not accept any parameters.

Returns: This method return a list of lines contained by the Axes.

下面的示例说明了 matplotlib.axes 中的 matplotlib.axes.Axes.get_lines()函数：

示例 1：

# Implementation of matplotlib function
from matplotlib import colors
from matplotlib.ticker import PercentFormatter
import numpy as np
import matplotlib.pyplot as plt
  
  
N_points = 100000
x = np.random.randn(N_points)
y = .4 * x + np.random.randn(100000) + 5
   
fig, ax = plt.subplots()
ax.hist2d(x, y, bins = 100,
          norm = colors.LogNorm(), 
          cmap ="Greens")
  
w = list(ax.get_lines())
if len(w)== 0:
    ax.text(-2, 8.5, 
            "No line contained by the Axes \n")
else:
    ax.text(-3, 8.5,
            "List of the lines contained by the Axes \n")
    x = 8.5
    for i in w:
          
        ax.text(-3, x-0.5, str(i))
        x-= 0.5
  
fig.suptitle('matplotlib.axes.Axes.get_lines() \
function Example', fontweight ="bold")
  
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
  
  
fig, ax = plt.subplots()
x, y = 10 * np.random.rand(2, 1000)
ax.plot(x, y, 'go', alpha = 0.2)
  
circ = mpatches.Circle((0.5, 0.5),
                       0.25,
                       transform = ax.transAxes,
                       facecolor ='blue',
                       alpha = 0.75)
  
ax.add_patch(circ)
  
w = list(ax.get_lines())
  
if len(w)== 0:
    ax.text(1, 8.5,
            "No line contained by the Axes \n")
      
else:
    ax.text(1, 8.5,
            "List of the lines contained by the Axes \n")
    x = 8.5
      
    for i in w:
        ax.text(1, x-0.5, str(i))
        x-= 0.5
  
fig.suptitle('matplotlib.axes.Axes.get_lines() \
function Example', fontweight ="bold")
  
plt.show()

输出：