# Matplotlib.pyplot.twiny() in Python

• Last Updated : 11 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.

Sample Code

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 `# sample code``import` `matplotlib.pyplot as plt ``   ` `plt.plot([``1``, ``2``, ``3``, ``4``], [``16``, ``4``, ``1``, ``8``]) ``plt.show() `

Output:

## matplotlib.pyplot.twiny() Function

The twinx() function in pyplot module of matplotlib library is used to make and return a second axes that shares the y-axis.

Syntax:

`matplotlib.pyplot.twiny(ax=None)`

Parameters: This method does not accepts any parameters.

Returns: This returns the second axes that shares the x-axis

Below examples illustrate the matplotlib.pyplot.twiny() function in matplotlib.pyplot:

Example #1:

 `# Implementation of matplotlib function``import` `matplotlib.pyplot as plt``import` `numpy as np``   ` `   ` `def` `GFG1(temp):``    ``return` `(``5.` `/` `9.``) ``*` `(temp ``-` `32``)``   ` `def` `GFG2(ax1):``    ``y1, y2 ``=` `ax1.get_ylim()``    ``ax_twin .set_ylim(GFG1(y1), GFG1(y2))``    ``ax_twin .figure.canvas.draw()``   ` `fig, ax1 ``=` `plt.subplots()``ax_twin ``=` `ax1.twiny()``   ` `ax1.callbacks.connect(``"ylim_changed"``, GFG2)``ax1.plot(np.linspace(``10``, ``120``, ``100``))``ax1.set_xlim(``0``, ``40``)``   ` `ax1.set_xlabel(``'Fahrenheit'``)``ax_twin .set_xlabel(``'Celsius'``)`` ` `fig.suptitle('matplotlib.pyplot.twiny() function\`` ``Example\n\n', fontweight ``=``"bold"``)``plt.show()`

Output:

Example #2:

 `# Implementation of matplotlib function``import` `numpy as np``import` `matplotlib.pyplot as plt``  ` `# Create some mock data``t ``=` `np.arange(``0.01``, ``20.0``, ``0.001``)``data1 ``=` `np.exp(t)``data2 ``=` `np.sin(``0.3` `*` `np.pi ``*` `t)``  ` `fig, ax1 ``=` `plt.subplots()``  ` `color ``=` `'tab:blue'``ax1.set_ylabel(``'time (s)'``)``ax1.set_xlabel(``'exp'``, color ``=` `color)``ax1.plot(data1, t, color ``=` `color)``ax1.tick_params(axis ``=``'x'``, labelcolor ``=` `color)``  ` `ax2 ``=` `ax1.twiny()``  ` `color ``=` `'tab:green'``ax2.set_xlabel(``'sin'``, color ``=` `color)``ax2.plot(data2, t, color ``=` `color)``ax2.tick_params(axis ``=``'x'``, labelcolor ``=` `color)`` ` `fig.suptitle('matplotlib.pyplot.twiny() function\`` ``Example\n\n', fontweight ``=``"bold"``)``plt.show()`

Output:

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