Plots with different scales

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

# Create some mock data
t = np.arange(0.01, 10.0, 0.01)
data1 = np.exp(t)
data2 = np.sin(2 * np.pi * t)

fig, ax1 = plt.subplots()

color = 'tab:red'
ax1.set_xlabel('time (s)')
ax1.set_ylabel('exp', color=color)
ax1.plot(t, data1, color=color)
ax1.tick_params(axis='y', labelcolor=color)

ax2 = ax1.twinx()  # instantiate a second axes that shares the same x-axis

color = 'tab:blue'
ax2.set_ylabel('sin', color=color)  # we already handled the x-label with ax1
ax2.plot(t, data2, color=color)
ax2.tick_params(axis='y', labelcolor=color)

fig.tight_layout()  # otherwise the right y-label is slightly clipped
plt.show()

---

References

The use of the following functions, methods, classes and modules is shown in this example:

import matplotlib
matplotlib.axes.Axes.twinx
matplotlib.axes.Axes.twiny
matplotlib.axes.Axes.tick_params

Out:

<function _AxesBase.tick_params at 0x7fb11b43fc80>