Matplotlib.axis.Axis.get_rasterized() function in Python

Last Updated : 08 Jun, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

Matplotlib.axis.Axis.get_rasterized() Function

The Axis.get_rasterized() function in axis module of matplotlib library is used to get whether the artist is to be rasterized..

Syntax: Axis.get_rasterized(self)

Parameters: This method does not accepts any parameter.

Return value: This method return whether the artist is to be rasterized.

Below examples illustrate the matplotlib.axis.Axis.get_rasterized() function in matplotlib.axis:

Example 1:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
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 Axis.get_rasterized(m)== None:  
    Axis.set_rasterized(m, True) 

fig.suptitle("""matplotlib.axis.Axis.get_rasterized()
function Example\n""", fontweight ="bold")  
  
plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
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 Axis.get_rasterized(im)== None:  
    Axis.set_rasterized(im, False) 

fig.suptitle("""matplotlib.axis.Axis.get_rasterized()
function Example\n""", fontweight ="bold")  
  
plt.show()