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Nov 15, 2016
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Update two_scales.py example. #7455

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32 changes: 13 additions & 19 deletions examples/api/two_scales.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,21 +3,16 @@
Plots with different scales
===========================

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

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.)
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.

Expand All @@ -31,16 +26,15 @@
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.
# Make the y-axis label, ticks and tick labels match the line color.
ax1.set_ylabel('exp', color='b')
for tl in ax1.get_yticklabels():
tl.set_color('b')

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

ax2 = ax1.twinx()
s2 = np.sin(2*np.pi*t)
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')
ax2.tick_params('y', colors='r')

fig.tight_layout()
plt.show()