Python中的 Matplotlib.axis.Tick.set_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中用于数组二维图的惊人可视化库，用于处理更广泛的 SciPy 堆栈。

Matplotlib.axis.Tick.set_picker()函数

matplotlib 库的 axis 模块中的Tick.set_picker()函数用于定义艺术家的拾取行为。

Syntax: Tick.set_picker(self, picker) 
Parameters: This method accepts the following parameters. 

• picker: This parameter is used to set picking behavior. This can be None or bool or float or function.

Return value: This method does not return any value. 

以下示例说明了 matplotlib.axis 中的 matplotlib.axis.Tick.set_picker()函数：
示例 1：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np  
import matplotlib.pyplot as plt  
          
np.random.seed(19680801)  
     
volume = np.random.rayleigh(27, 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 * 3,   
                     amount**4,  
                     c = ranking**4,  
                     s = price**4,  
                     vmin = -3,  
                     vmax = 3,  
                     cmap ="Spectral")  
       
Tick.set_picker(ax, picker = 4) 
  
fig.suptitle('matplotlib.axis.Tick.set_picker() \
function Example', fontweight ="bold")  
     
plt.show()

输出：

示例 2：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
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-')   
       
Tick.set_picker(ax, picker = True) 
  
fig.suptitle('matplotlib.axis.Tick.set_picker() \
function Example', fontweight ="bold")  
     
plt.show() 

输出：