Matplotlib.axis.Axis.update_from() function in Python

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Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

matplotlib.axis.Axis.update_from() Function

The Axis.update_from() function in axis module of matplotlib library is used to Copy properties from other to self.

Syntax: Axis.update_from(self, other)

Parameters: This method accepts the following parameters.

other: This parameter is the property to be updated.

Return value: This method return dictionary of all the properties of the artist.

Below examples illustrate the matplotlib.axis.Axis.update_from() function in matplotlib.axis:

Example 1:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis 
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):  
    Axis.update_from(prop1, prop2)  
    prop1.set_linewidth(7)  
    
plt.legend(handler_map ={plt.Line2D : HandlerLine2D(update_func = update)})  
          
ax.set_title('matplotlib.axis.Axis.update_from() \ 
function Example', fontweight ="bold")   
    
plt.show()  

Output:

Example 2:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis 
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)   
    Axis.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)        
plt.title('matplotlib.axis.Axis.update_from() \ 
function Example', fontweight ="bold")   
    
plt.show()  