e2ecdcfe33
Former-commit-id:a02aeb236c[formerly9f19e3f712] [formerlya02aeb236c[formerly9f19e3f712] [formerly06a8b51d6d[formerly 64fa9254b946eae7e61bbc3f513b7c3696c4f54f]]] Former-commit-id:06a8b51d6dFormer-commit-id:8e80217e59[formerly3360eb6c5f] Former-commit-id:377dcd10b9
46 lines
1.3 KiB
Python
Executable file
46 lines
1.3 KiB
Python
Executable file
#!/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()
|
|
|