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

📅  最后修改于: 2022-05-13 01:54:29.697000             🧑  作者: Mango

Python中的 Matplotlib.axis.Axis.set_pickradius()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_pickradius()函数

matplotlib库的axis模块中的axis.set_pickradius()函数用于设置picker使用的轴的深度

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

示例 1:

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-')
  
ax.grid()
  
ax.yaxis.set_pickradius(-3)
ax.xaxis.set_pickradius(3)
   
fig.suptitle("""matplotlib.axis.Axis.set_pickradius()
function Example\n""", fontweight ="bold")  
       
plt.show()


Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np 
np.random.seed(19680801) 
import matplotlib.pyplot as plt 
        
volume = np.random.rayleigh(27, size = 100) 
amount = np.random.poisson(7, size = 100) 
ranking = np.random.normal(size = 100) 
price = np.random.uniform(1, 7, size = 100) 
        
fig, ax = plt.subplots() 
        
scatter = ax.scatter(volume * 2,  
                     amount**3, 
                     c = ranking, 
                     s = price**3, 
                     vmin = -3, 
                     vmax = 3, 
                     cmap ="Spectral")
ax.yaxis.set_pickradius(25)
ax.xaxis.set_pickradius(5)
ax.grid()
   
fig.suptitle("""matplotlib.axis.Axis.set_pickradius()
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 
np.random.seed(19680801) 
import matplotlib.pyplot as plt 
        
volume = np.random.rayleigh(27, size = 100) 
amount = np.random.poisson(7, size = 100) 
ranking = np.random.normal(size = 100) 
price = np.random.uniform(1, 7, size = 100) 
        
fig, ax = plt.subplots() 
        
scatter = ax.scatter(volume * 2,  
                     amount**3, 
                     c = ranking, 
                     s = price**3, 
                     vmin = -3, 
                     vmax = 3, 
                     cmap ="Spectral")
ax.yaxis.set_pickradius(25)
ax.xaxis.set_pickradius(5)
ax.grid()
   
fig.suptitle("""matplotlib.axis.Axis.set_pickradius()
function Example\n""", fontweight ="bold")  
       
plt.show()

输出: