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Matplotlib.artist.Artist.get_rasterized() in Python

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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:




# 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:




# 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:



Last Updated : 10 May, 2020
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