Matplotlib.axis.Tick.get_rasterized() in Python
Last Updated :
01 May, 2022
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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:
# 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:
# 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:
