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# Matplotlib.axis.Tick.have_units() function in Python

• Last Updated : 10 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.Tick.have_units() Function

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

Syntax: Tick.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.Tick.have_units() function in matplotlib.axis:
Example 1:

## Python3

 `# Implementation of matplotlib function``from` `matplotlib.axis ``import` `Tick``import` `matplotlib.pyplot as plt  ``import` `numpy as np  ``from` `matplotlib.patches ``import` `Ellipse  ``       ` `     ` `delta ``=` `15.0``       ` `angles ``=` `np.arange(``0``, ``360` `+` `delta, delta)  ``ells ``=` `[Ellipse((``2``, ``2``), ``5``, ``2``, a) ``for` `a ``in` `angles]  ``       ` `fig, ax ``=` `plt.subplots()  ``       ` `for` `e ``in` `ells:  ``    ``Tick.set_clip_box(e, ax.bbox)``    ``e.set_facecolor(``"green"``)``    ``e.set_alpha(``0.05``)  ``    ``ax.add_artist(e)  ``       ` `plt.xlim(``-``1``, ``5``)  ``plt.ylim(``-``1``, ``5``) ``  ` `ax.set_title(``"Units are set on any axis : "``              ``+``str``(Tick.have_units(ax.xaxis)))  `` ` `fig.suptitle('matplotlib.axis.Tick.have_units() \``function Example', fontweight ``=``"bold"``)  ``    ` `plt.show() `

Output:

Example 2:

## Python3

 `# Implementation of matplotlib function``from` `matplotlib.axis ``import` `Tick``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 ``=` `Tick.have_units(ax1.yaxis) ``    ` `print``(``"Value Return by have_units() :"``, w)    `` ` `fig.suptitle('matplotlib.axis.Tick.have_units() \``function Example', fontweight ``=``"bold"``)  ``    ` `plt.show() `

Output:

```Value Return by have_units() : False
```

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