Matplotlib.axes.Axes.update_from() in Python

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Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.update_from() Function

The Axes.update_from() function in axes module of matplotlib library is used to copy properties from other to self.

Syntax: Axes.update_from(self, other)

Parameters: This method accepts any 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.axes.Axes.update_from() function in matplotlib.axes:

Example 1:

# Implementation of matplotlib function  
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): 
    prop1.update_from(prop2) 
    prop1.set_linewidth(7) 
  
plt.legend(handler_map ={plt.Line2D : HandlerLine2D(update_func = update)}) 
  
fig.suptitle('matplotlib.axes.Axes.update_from()\ 
 function Example', fontweight ="bold")  
  
plt.show()  

Output:

Example 2:

# Implementation of matplotlib function  
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) 
    shadow.update_from(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.axes.Axes.update_from() \ 
function Example', fontweight ="bold")  
  
plt.show()  