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Matplotlib.axes.Axes.update() in Python

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  • Last Updated : 30 Apr, 2020

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() Function

The Axes.update() function in axes module of matplotlib library is used to update this artist’s properties from the dictionary props.

Syntax: Axes.update(self, props)

Parameters: This method accepts the following parameters.

  • props: This parameter is the dictionary of the properties.

Returns: This method does not return any value.

Below examples illustrate the matplotlib.axes.Axes.update() function in matplotlib.axes:

Example 1:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
        
np.random.seed(10**7)
geeks = np.random.randn(100)
   
fig, ax = plt.subplots()
ax.acorr(geeks, usevlines = True,
         normed = True,
         maxlags = 80, lw = 3)
  
ax.grid(True)
  
prop = {'xticks': np.array([-10., -5.0.,   5., 10. ]),
        'yticks': np.array([-0.20.20.61.1.4]),
        'ylabel': None, 'xlabel': None}
  
ax.update(prop)
   
fig.suptitle('matplotlib.axes.Axes.update()\
 function Example', fontweight ="bold"
  
plt.show() 

Output:

Example 2:




# Implementation of matplotlib function 
import numpy as np 
import matplotlib.pyplot as plt 
  
  
xx = np.random.rand(16, 30
     
fig, ax = plt.subplots() 
     
m = ax.pcolor(xx) 
m.set_zorder(-20)
prop = {'autoscalex_on': False}
w = ax.update(prop)
   
fig.suptitle('matplotlib.axes.Axes.update()\
function Example', fontweight ="bold"
  
plt.show() 

Output:


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