Travis-CI:

# Plots with different scalesΒΆ

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.

```import numpy as np
import matplotlib.pyplot as plt

def two_scales(ax1, time, data1, data2, c1, c2):
"""

Parameters
----------
ax : axis
Axis to put two scales on

time : array-like
x-axis values for both datasets

data1: array-like
Data for left hand scale

data2 : array-like
Data for right hand scale

c1 : color
Color for line 1

c2 : color
Color for line 2

Returns
-------
ax : axis
Original axis
ax2 : axis
New twin axis
"""
ax2 = ax1.twinx()

ax1.plot(time, data1, color=c1)
ax1.set_xlabel('time (s)')
ax1.set_ylabel('exp')

ax2.plot(time, data2, color=c2)
ax2.set_ylabel('sin')
return ax1, ax2

# Create some mock data
t = np.arange(0.01, 10.0, 0.01)
s1 = np.exp(t)
s2 = np.sin(2 * np.pi * t)

# Create axes
fig, ax = plt.subplots()
ax1, ax2 = two_scales(ax, t, s1, s2, 'r', 'b')

# Change color of each axis
def color_y_axis(ax, color):