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

  • Last Updated : 10 Jun, 2020

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.Tick.update_from() Function

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

Syntax: Tick.update_from(self, other) 

Parameters: This method accepts the following parameters. 

  • other: This parameter is the property to be updated.

Return value: This method does not return any value. 



Below examples illustrate the matplotlib.axis.Tick.update_from() function in matplotlib.axis:
Example 1:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np 
import matplotlib.pyplot as plt 
from matplotlib.legend_handler import HandlerLine2D 
     
     
x = np.linspace(0, 4 * 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): 
    Tick.update_from(prop1, prop2) 
    prop1.set_linewidth(7
     
plt.legend(handler_map ={plt.Line2D : HandlerLine2D(update_func = update)}) 
           
ax.set_title('matplotlib.axis.Tick.update_from() \
function Example', fontweight ="bold")  
     
plt.show() 

Output: 
 

Example 2:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np 
import matplotlib.pyplot as plt 
from matplotlib.legend_handler import HandlerLine2D
import matplotlib.transforms as mtransforms  
     
fig, ax = plt.subplots()   
l1, = ax.plot([0.1, 0.5, 0.9],   
              [0.1, 0.9, 0.5],   
              "go-")  
l2, = ax.plot([0.1, 0.5, 0.9],  
              [0.5, 0.2, 0.7],   
              "yo-")  
       
for l in [l1, l2]:  
           
    xx = l.get_xdata()  
    yy = l.get_ydata()  
           
    shadow, = ax.plot(xx, yy)  
    Tick.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)   
ax.set_title('matplotlib.axis.Tick.update_from() \
function Example', fontweight ="bold")  
     
plt.show() 

Output: 
 

 




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