# 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..

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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()`

Output:

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