How do I plot a spectrogram the same way that pylab's specgram() does? (Matplotlib)

To plot a spectrogram the same way that pylab's specgram() does, we can take the following steps −

• Set the figure size and adjust the padding between and around the subplots.
• Create t, s1, s2, nse, x, NEFT and Fs data points using numpy.
• Create a new figure or activate an existing figure using subplots() method with nrows=2.
• Plot t and x data points using plot() method.
• Lay out a grid in current line style.
• Set the X-axis margins.
• Plot a spectrogram using specgram() method.
• Lay out a grid in current line style with dotted linestyle and some other properties.
• To display the figure, use show() method.

Example

import matplotlib.pyplot as plt
import numpy as np

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

dt = 0.0005
t = np.arange(0.0, 20.0, dt)
s1 = np.sin(2 * np.pi * 100 * t)
s2 = 2 * np.sin(2 * np.pi * 400 * t)
s2[t 
Output