Matplotlib.axis.Tick.get_rasterized() in Python

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.Tick.get_rasterized() Function

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

Syntax: Tick.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.Tick.get_rasterized() function in matplotlib.axis: 

Example 1:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np
import matplotlib.pyplot as plt


d = np.arange(16).reshape(4, 4)
xx, yy = np.meshgrid(np.arange(5), np.arange(5))

fig, ax = plt.subplots()

ax.set_aspect(1)
m = ax.pcolormesh(xx, yy, d)

if Tick.get_rasterized(m) == None:
    Tick.set_rasterized(m, True)

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

plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
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': 'PuBuGn', 'norm': norm}

fig, ax = plt.subplots()

m = ax.pcolormesh(arr, **pc_kwargs)
fig.colorbar(m, ax=ax, shrink=0.6)

if Tick.get_rasterized(m) == None:
    Tick.set_rasterized(m, True)

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

plt.show()

Output: