Matplotlib.axes.Axes.get_rasterized() in Python

Matplotlib.axes.Axes.update() in Python

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([-0.2,  0.2,  0.6,  1.,  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:

Matplotlib.axes.Axes.get_rasterized() in Python

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