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📜  Python中的 Matplotlib.axis.Axis.set_picker()函数

📅  最后修改于: 2022-05-13 01:54:28.765000             🧑  作者: Mango

Python中的 Matplotlib.axis.Axis.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.set_picker()函数

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

以下示例说明了 matplotlib.axis 中的 matplotlib.axis.Axis.set_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(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 * 2,   
                     amount**3,  
                     c = ranking**3,  
                     s = price**3,  
                     vmin = -3,  
                     vmax = 3,  
                     cmap ="Spectral")  
      
Axis.set_picker(ax, picker = 4) 
  
fig.suptitle('matplotlib.axis.Axis.set_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-')   
      
Axis.set_picker(ax, picker = True) 
  
fig.suptitle('matplotlib.axis.Axis.set_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-')   
      
Axis.set_picker(ax, picker = True) 
  
fig.suptitle('matplotlib.axis.Axis.set_picker() \
function Example\n', fontweight ="bold")  
    
plt.show() 

输出: