Alan G Isaac wrote:
On 11/28/2008 9:21 PM Eric Firing apparently wrote:
I suggest using twinx(); the scale for one line will be on the left, the
scale for the other on the right. You can make the scale colors match
the line colors, if you want to. I just updated
examples/api/two_scales.py to show this.
Hmmm, not here:
http://matplotlib.sourceforge.net/examples/api/two_scales.html
The web page docs don't get updated automatically every time svn
changes--which is probably a good thing. The revised example is attached.
And here the test on the y-axes does not display properly on the
posted figures.
That's puzzling. It looks like some odd rcParams settings must have
been used when the figures were generated for the web page.
Eric
But I like the idea.
Alan Isaac
`
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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 = plt.figure()
ax1 = fig.add_subplot(111)
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()
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