Python中的 Matplotlib.axis.Axis.get_picker()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_picker()函数

matplotlib 库的轴模块中的Axis.get_picker()函数用于定义艺术家的拾取行为。

Syntax: Axis.get_picker(self)

Parameters: This method does not accepts any parameter.

Return value: This method return the picking behavior of the artist.

编程需要懂一点英语

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

示例 1：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np  
import matplotlib.pyplot as plt  
    
    
np.random.seed(19680801)  
      
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(Axis.get_picker(ax)),  
        fontweight = "bold",  
        fontsize = 18) 
  
fig.suptitle("""matplotlib.axis.Axis.get_picker()
function Example\n""", fontweight ="bold")  
    
plt.show()

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
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(Axis.get_picker(ax)),  
        fontweight = "bold",  
        fontsize = 18)  
            
fig.suptitle("""matplotlib.axis.Axis.get_picker()
function Example\n""", fontweight ="bold")  
    
plt.show()

输出：

示例 2：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
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(Axis.get_picker(ax)),  
        fontweight = "bold",  
        fontsize = 18)  
            
fig.suptitle("""matplotlib.axis.Axis.get_picker()
function Example\n""", fontweight ="bold")  
    
plt.show()

输出：