Skip to content
Related Articles

Related Articles

Improve Article

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

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course

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()

Output:




My Personal Notes arrow_drop_up
Recommended Articles
Page :