Matplotlib.axes.Axes.set_rasterized() in Python

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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.set_rasterized() Function

The Axes.set_rasterized() function in axes module of matplotlib library is used to force rasterized (bitmap) drawing in vector backend output.

Syntax: Axes.set_rasterized(self, rasterized)

Parameters: This method accepts only one parameters.

rasterized: This parameter is the boolean value.

Returns: This method does not return any value.

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

Example 1:

# Implementation of matplotlib function 
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) 
m.set_rasterized(True) 
  
fig.suptitle('matplotlib.axes.Axes.set_rasterized() \ 
function Example', fontweight ="bold") 
  
plt.show() 

Output:

Example 2:

# Implementation of matplotlib function 
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) 
   
ax.set_rasterized(False) 
  
fig.suptitle('matplotlib.axes.Axes.set_rasterized()\ 
 function Example', fontweight ="bold") 
  
plt.show() 