matplotlib/examples/api/two_scales.py at master · dpsanders/matplotlib · GitHub

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#!/usr/bin/env python

"""

Demonstrate how to do two plots on the same axes with different left

right scales.

The trick is to use *2 different axes*. Turn the axes rectangular

frame off on the 2nd axes to keep it from obscuring the first.

Manually set the tick locs and labels as desired. You can use

separate matplotlib.ticker formatters and locators as desired since

the two axes are independent.

This is achieved in the following example by calling the Axes.twinx()

method, which performs this work. See the source of twinx() in

axes.py for an example of how to do it for different x scales. (Hint:

use the xaxis instance and call tick_bottom and tick_top in place of

tick_left and tick_right.)

The twinx and twiny methods are also exposed as pyplot functions.

"""

import numpy as np

import matplotlib.pyplot as plt

fig, ax1 = plt.subplots()

t = np.arange(0.01, 10.0, 0.01)

s1 = np.exp(t)

ax1.plot(t, s1, 'b-')

ax1.set_xlabel('time (s)')

# Make the y-axis label and tick labels match the line color.

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

for tl in ax1.get_yticklabels():

tl.set_color('b')

ax2 = ax1.twinx()

s2 = np.sin(2*np.pi*t)

ax2.plot(t, s2, 'r.')

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

for tl in ax2.get_yticklabels():

tl.set_color('r')

plt.show()