Matplotlib.pyplot.twinx() in Python (original) (raw)

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

import matplotlib.pyplot as plt

plt.plot([ 1 , 2 , 3 , 4 ], [ 16 , 4 , 1 , 8 ])

plt.show()

Output:

matplotlib.pyplot.twinx() Function

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

Syntax:

matplotlib.pyplot.twinx(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.twinx() function in matplotlib.pyplot:

Example #1:

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.twinx()

ax1.callbacks.connect( "ylim_changed" , GFG2)

ax1.plot(np.linspace( 0 , 120 , 100 ))

ax1.set_xlim( 30 , 100 )

ax1.set_ylabel( 'Fahrenheit' )

ax_twin .set_ylabel( 'Celsius' )

fig.suptitle('matplotlib.pyplot.twinx() function \

Example\n\n', fontweight = "bold" )

plt.show()

Output:

Example #2:

import numpy as np

import matplotlib.pyplot as plt

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_xlabel( 'time (s)' )

ax1.set_ylabel( 'exp' , color = color)

ax1.plot(t, data1, color = color)

ax1.tick_params(axis = 'y' , labelcolor = color)

ax2 = ax1.twinx()

color = 'tab:green'

ax2.set_ylabel( 'sin' , color = color)

ax2.plot(t, data2, color = color)

ax2.tick_params(axis = 'y' , labelcolor = color)

fig.suptitle('matplotlib.pyplot.twinx() function \

Example\n\n', fontweight = "bold" )

plt.show()

Output:

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