Matplotlib.artist.Artist.set_rasterized() in Python

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.set_rasterized() method

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

Syntax: Artist.set_rasterized(self, rasterized)

Parameters: This method accepts the following parameters.

• rasterized: This parameter is the boolean value.

Returns: This method does not return any value.

Below examples illustrate the matplotlib.artist.Artist.set_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)
Artist.set_rasterized(m, True)

fig.suptitle('matplotlib.artist.Artist.set_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)
Artist.set_rasterized(im, False)

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

plt.show()

Output: