Matplotlib.artist.Artist.update_from() in Python

Last Updated : 10 May, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Artist class contains Abstract base class for objects that render into a FigureCanvas. All visible elements in a figure are subclasses of Artist.

matplotlib.artist.Artist.update_from() method

The update_from() method in artist module of matplotlib library is used to copy properties from other to self.

Syntax: Artist.update_from(self, other )

Parameters: This method accepts the following parameters.

other : This parameter is the property to be updated.

Returns: This method return dictionary of all the properties of the artist.

Below examples illustrate the matplotlib.artist.Artist.update_from() function in matplotlib:

Example 1:

# Implementation of matplotlib function 
from matplotlib.artist import Artist 
import numpy as np  
import matplotlib.pyplot as plt  
from matplotlib.legend_handler import HandlerLine2D  
    
    
x = np.linspace(0, 3 * np.pi)  
y1 = np.sin(x)  
y2 = np.cos(x)  
    
fig = plt.figure()  
    
ax = fig.add_subplot(111)  
ax.plot(x, y1, c ='b', label ='y1', linewidth = 1.0)  
ax.plot(x, y2, c ='g', label ='y2')  
    
linewidth = 7
    
def update(prop1, prop2):  
    Artist.update_from(prop1, prop2)  
    prop1.set_linewidth(7)  
    
plt.legend(handler_map ={plt.Line2D : HandlerLine2D(update_func = update)})  
    
fig.suptitle('matplotlib.artist.Artist.update()\ 
 function Example', fontweight ="bold")  
  
plt.show() 

Output:

Example 2:

# Implementation of matplotlib function 
from matplotlib.artist import Artist 
import numpy as np   
import matplotlib.pyplot as plt  
import matplotlib.transforms as mtransforms  
    
        
fig, ax = plt.subplots()   
l1, = ax.plot([0.1, 0.5, 0.9],   
              [0.1, 0.9, 0.5],   
              "bo-")  
l2, = ax.plot([0.1, 0.5, 0.9],  
              [0.5, 0.2, 0.7],   
              "ro-")  
    
for l in [l1, l2]:  
        
    xx = l.get_xdata()  
    yy = l.get_ydata()  
        
    shadow, = ax.plot(xx, yy)  
    Artist.update_from(shadow, l)  
        
    ot = mtransforms.offset_copy(l.get_transform(),  
                                 ax.figure,  
                                 x = 4.0,   
                                 y =-6.0,   
                                 units ='points')  
    
    shadow.set_transform(ot) 
      
fig.suptitle('matplotlib.artist.Artist.update_from()\ 
function Example', fontweight ="bold")  
  
plt.show() 