How to overlay plots in python with matplotlib

Question

I'm using two related packages that generate plots I want to overlay for comparison. I call a method called plot_spectro from each package which plots to plt. Then I must do plt.legend() and plt.show() to see them. What happens is two plots with the same data ranges appear, but I would like to overlay (superimpose) them.

import matplotlib.pyplot as plt

s.plot_spectro(xaxis=x, yaxis=y)

plt.xlim(-6,2)
plt.ylim(-2.5,2.5)

o1.plot_spectro(xaxis=x, yaxis=y,  color='b')

plt.xlim(-6,2)
plt.ylim(-2.5,2.5)

plt.legend()

plt.show()

Sheldore · Accepted Answer · 2020-04-13 17:34:40Z

2

Create an axis instance and pass it to both the plots as shown below

import matplotlib.pyplot as plt

fig, ax = plt.subplots()

s.plot_spectro(xaxis=x, yaxis=y, ax=ax) # <--- pass ax=ax here
o1.plot_spectro(xaxis=x, yaxis=y,  color='b', ax=ax) # <--- pass ax=ax here

plt.xlim(-6,2)
plt.ylim(-2.5,2.5)

plt.legend()
plt.show()

answered Apr 13, 2020 at 17:34

Sheldore

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