# Matplotlib.axis.Tick.update_from() 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.update_from() Function

The Tick.update_from() function in axis module of matplotlib library is used to Copy properties from other to self.

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Syntax: Tick.update_from(self, other)

Parameters: This method accepts the following parameters.

• other: This parameter is the property to be updated.

Return value: This method does not return any value.

Below examples illustrate the matplotlib.axis.Tick.update_from() 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 ``from` `matplotlib.legend_handler ``import` `HandlerLine2D ``    ` `    ` `x ``=` `np.linspace(``0``, ``4` `*` `np.pi) ``y1 ``=` `np.sin(x) ``y2 ``=` `np.cos(x) ``    ` `fig ``=` `plt.figure() ``    ` `ax ``=` `fig.add_subplot(``111``) ``ax.plot(x, y1, c ``=``'b'``, label ``=``'y1'``, linewidth ``=` `1.0``) ``ax.plot(x, y2, c ``=``'g'``, label ``=``'y2'``) ``    ` `linewidth ``=` `7``    ` `def` `update(prop1, prop2): ``    ``Tick.update_from(prop1, prop2) ``    ``prop1.set_linewidth(``7``) ``    ` `plt.legend(handler_map ``=``{plt.Line2D : HandlerLine2D(update_func ``=` `update)}) ``          ` `ax.set_title('matplotlib.axis.Tick.update_from() \``function Example', fontweight ``=``"bold"``)  ``    ` `plt.show() `

Output:

Example 2:

## Python3

 `# Implementation of matplotlib function``from` `matplotlib.axis ``import` `Tick``import` `numpy as np ``import` `matplotlib.pyplot as plt ``from` `matplotlib.legend_handler ``import` `HandlerLine2D``import` `matplotlib.transforms as mtransforms  ``    ` `fig, ax ``=` `plt.subplots()   ``l1, ``=` `ax.plot([``0.1``, ``0.5``, ``0.9``],   ``              ``[``0.1``, ``0.9``, ``0.5``],   ``              ``"go-"``)  ``l2, ``=` `ax.plot([``0.1``, ``0.5``, ``0.9``],  ``              ``[``0.5``, ``0.2``, ``0.7``],   ``              ``"yo-"``)  ``      ` `for` `l ``in` `[l1, l2]:  ``          ` `    ``xx ``=` `l.get_xdata()  ``    ``yy ``=` `l.get_ydata()  ``          ` `    ``shadow, ``=` `ax.plot(xx, yy)  ``    ``Tick.update_from(shadow, l)  ``          ` `    ``ot ``=` `mtransforms.offset_copy(l.get_transform(),  ``                                 ``ax.figure,  ``                                 ``x ``=` `4.0``,   ``                                 ``y ``=``-``6.0``,   ``                                 ``units ``=``'points'``)  ``      ` `    ``shadow.set_transform(ot)   ``ax.set_title('matplotlib.axis.Tick.update_from() \``function Example', fontweight ``=``"bold"``)  ``    ` `plt.show() `

Output:

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