Python中的 Matplotlib.axes.Axes.get_picker()

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_picker()函数

matplotlib 库的 axes 模块中的Axes.get_picker()函数用于返回艺术家的拾取行为。

Syntax: Axes.get_picker(self)

Parameters: This method does not accept any parameters.

Returns: This method the picking behavior of the artist.

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

示例 1：

#Implementation of matplotlib function
import numpy as np
np.random.seed(19680801)
import matplotlib.pyplot as plt
  
  
volume = np.random.rayleigh(7, size=40)
amount = np.random.poisson(7, size=40)
ranking = np.random.normal(size=40)
price = np.random.uniform(1, 7, size=40)
     
fig, ax = plt.subplots()
     
scatter = ax.scatter(volume,
                     amount,
                     c = ranking,
                     s = price*3,
                     vmin = -3, 
                     vmax = 3,
                     cmap = "Spectral")
   
legend1 = ax.legend(*scatter.legend_elements(num=5),
                    loc = "upper left",
                    title = "Ranking")
  
ax.add_artist(legend1)
    
ax.text(8, 8,"Value return : " + str(ax.get_picker()),
        fontweight = "bold",
        fontsize=18)
     
fig.suptitle('matplotlib.axes.Axes.get_picker() function \
Example', fontweight="bold")
  
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
  
  
X = np.random.rand(10, 200)
xs = np.mean(X, axis = 1)
ys = np.std(X, axis = 1)
  
fig = plt.figure()
ax = fig.add_subplot(111)
line, = ax.plot(xs, ys, 'go-', picker = 5)
  
ax.set_picker(True)
   
ax.text(0.48, 0.3, "Value return : " + str(ax.get_picker()),
        fontweight = "bold",
        fontsize = 18)
    
fig.suptitle('matplotlib.axes.Axes.get_picker()\
function Example', fontweight ="bold")
  
plt.show()

输出：