Matplotlib.axes.Axes.get_rasterized() in Python

Last Updated : 30 Apr, 2020
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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.get_rasterized() Function

The Axes.get_rasterized() function in axes module of matplotlib library is used to get whether the artist is to be rasterized.
Syntax: Axes.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.axes.Axes.get_rasterized() function in matplotlib.axes: Example 1: Python3 
# 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)
if m.get_rasterized()== None:
    m.set_rasterized(True)
 
fig.suptitle('matplotlib.axes.Axes.get_rasterized() \
function Example', fontweight ="bold")

plt.show()
Output: Example 2: Python3 
# 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)
 
if ax.get_rasterized()== None:
    ax.set_rasterized(False)
 
fig.suptitle('matplotlib.axes.Axes.get_rasterized()\
 function Example', fontweight ="bold")

plt.show()
Output:

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Matplotlib.axes.Axes.get_transform() in Python

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