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Matplotlib.artist.Artist.get_rasterized() in Python

Last Updated : 12 Jul, 2025
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Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Artist class contains Abstract base class for objects that render into a FigureCanvas. All visible elements in a figure are subclasses of Artist.

matplotlib.artist.Artist.get_rasterized() method

The get_rasterized() method in artist module of matplotlib library is used to get whether the artist is to be rasterized.
Syntax: Artist.get_rasterized(self) Parameters: This method does not accepts any parameter. Returns: This method return whether the artist is to be rasterized.
Below examples illustrate the matplotlib.artist.Artist.get_rasterized() function in matplotlib: Example 1: Python3 1==
# Implementation of matplotlib function
from matplotlib.artist import Artist  
import numpy as np 
import matplotlib.pyplot as plt 

    
d = np.arange(100).reshape(10, 10) 
xx, yy = np.meshgrid(np.arange(11), np.arange(11)) 
    
fig, ax = plt.subplots() 
    
ax.set_aspect(1) 
m = ax.pcolormesh(xx, yy, d) 

if Artist.get_rasterized(m)== None: 
    Artist.set_rasterized(m, True)

fig.suptitle('matplotlib.artist.Artist.get_rasterized()\
function Example', fontweight ="bold") 

plt.show()
Output: Example 2: Python3 1==
# Implementation of matplotlib function
from matplotlib.artist import Artist  
import matplotlib.pyplot as plt 
import matplotlib.colors as mcolors 
import matplotlib.gridspec as gridspec 
import numpy as np 
    
    
arr = np.arange(100).reshape((10, 10)) 
norm = mcolors.Normalize(vmin = 0., vmax = 100.) 
    
pc_kwargs = {'cmap': 'plasma', 'norm': norm} 
    
fig, ax = plt.subplots( ) 
    
im = ax.pcolormesh(arr, **pc_kwargs) 
fig.colorbar(im, ax = ax, shrink = 0.6)

if Artist.get_rasterized(im)== None: 
    Artist.set_rasterized(im, False)

fig.suptitle('matplotlib.artist.Artist.get_rasterized()\
function Example', fontweight ="bold") 
plt.show()
Output:

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