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

📅  最后修改于: 2022-05-13 01:55:45.199000             🧑  作者: Mango

Python中的 Matplotlib.axis.Axis.set_url()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_url()函数

matplotlib 库的轴模块中的Axis.set_url()函数用于设置艺术家的 url。

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

示例 1:

Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np  
import matplotlib.cm as cm  
import matplotlib.mlab as mlab  
import matplotlib.pyplot as plt 
    
      
fig, ax = plt.subplots()  
s = ax.scatter([1, 2, 3], [4, 5, 6]) 
Axis.set_url(s, 'http://www.google.com')  
fig.canvas.print_figure('geeks1.svg') 
  
fig.suptitle('matplotlib.axis.Axis.set_url() \
function Example\n', fontweight ="bold")  
    
plt.show()


Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np  
import matplotlib.cm as cm  
import matplotlib.mlab as mlab  
import matplotlib.pyplot as plt 
    
      
fig, ax = plt.subplots()  
delta = 0.025
    
x = y = np.arange(-3.0, 3.0, delta)  
X, Y = np.meshgrid(x, y)  
    
Z1 = np.exp(-X**2 - Y**2)  
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)  
Z = (Z1 - Z2) * 2
      
im = ax.imshow(Z,  
               interpolation ='bilinear',  
               cmap = "bone",  
               origin ='lower',   
               extent =[-3, 3, -3, 3])
  
Axis.set_url(im, 'http://www.google.com')  
fig.canvas.print_figure('geeks2.svg') 
  
fig.suptitle('matplotlib.axis.Axis.set_url() \
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.cm as cm  
import matplotlib.mlab as mlab  
import matplotlib.pyplot as plt 
    
      
fig, ax = plt.subplots()  
delta = 0.025
    
x = y = np.arange(-3.0, 3.0, delta)  
X, Y = np.meshgrid(x, y)  
    
Z1 = np.exp(-X**2 - Y**2)  
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)  
Z = (Z1 - Z2) * 2
      
im = ax.imshow(Z,  
               interpolation ='bilinear',  
               cmap = "bone",  
               origin ='lower',   
               extent =[-3, 3, -3, 3])
  
Axis.set_url(im, 'http://www.google.com')  
fig.canvas.print_figure('geeks2.svg') 
  
fig.suptitle('matplotlib.axis.Axis.set_url() \
function Example\n', fontweight ="bold")  
    
plt.show() 

输出: