# Matplotlib.axis.Axis.have_units() 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.have_units() Function

The Axis.have_units() function in axis module of matplotlib library is used to check whether the units are set on any axis.

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Syntax: Axis.have_units(self)

Parameters: This method does not accepts any parameter.

Return value: This method return True if units are set on any axis.

Below examples illustrate the matplotlib.axis.Axis.have_units() function in matplotlib.axis:

Example 1:

## Python3

 `# Implementation of matplotlib function``from` `matplotlib.axis ``import` `Axis``import` `matplotlib.pyplot as plt ``    ` `fig, axs ``=` `plt.subplots() ``axs.plot([``1``, ``2``, ``3``]) ``   ` `axs.set_title(``"Units are set on any axis : "``              ``+``str``(axs.xaxis.have_units()))   `` ` `fig.suptitle('matplotlib.axis.Axis.have_units() \``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 ``     ` `fig, ax1 ``=` `plt.subplots( ) ``ax1.set_xscale(``"log"``) ``ax1.set_yscale(``"log"``) ``ax1.set_adjustable(``"datalim"``) ``   ` `ax1.plot([``1``, ``3``, ``34``, ``4``, ``46``, ``3``, ``7``, ``45``, ``10``], ``         ``[``1``, ``9``, ``27``, ``8``, ``29``, ``84``, ``78``, ``19``, ``48``], ``          ``"o-"``, color ``=``"green"``) ``   ` `ax1.set_xlim(``1e``-``1``, ``1e2``) ``ax1.set_ylim(``1``, ``1e2``) ``   ` `w ``=` `Axis.have_units(ax1.yaxis) ``   ` `print``(``"Value Return by have_units() :"``, w)   `` ` `fig.suptitle('matplotlib.axis.Axis.have_units() \``function Example\n', fontweight ``=``"bold"``)  ``   ` `plt.show() `

Output:

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