"""

===========================

Plots with different scales

===========================

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

right scales.

The trick is to use *two different axes* that share the same *x* axis.

You can use separate `matplotlib.ticker` formatters and locators as

desired since the two axes are independent.

Such axes are generated by calling the `Axes.twinx` method. Likewise,

`Axes.twiny` is available to generate axes that share a *y* axis but

have different top and bottom scales.

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, ticks and tick labels match the line color.

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

ax1.tick_params('y', colors='b')

ax2 = ax1.twinx()

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

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

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

ax2.tick_params('y', colors='r')

fig.tight_layout()

plt.show()