How to show the detail of a sound plot

[TED-EE]

In Figure 1, the plot can be seen more detailed than that of Figure 2, it may because the recording duration of Figure 1 is less. However, I would like to see the more detailed and more micro-viewed of Figure 1 without reducing the recording duration, kind of like Figure 3 (just an sample) which is more detailed and can be easily analyzed. Is there any approach to "zoom" the plot result and keep the detailed resolution simultaneously?

Many thanks!

Figure 1.

Figure 2.

Figure 3.

Code for reproduction

import wave
import matplotlib.pyplot as plt
import numpy as np

f = wave.open(r"output.wav", "rb")
   
params = f.getparams()
nchannels, sampwidth, framerate, nframes = params[:4]

str_data = f.readframes(nframes)

f.close()
    
wave_data = np.frombuffer(str_data, dtype=np.short)

wave_data = wave_data*1.0/(max(abs(wave_data)))
    
wave_data = np.reshape(wave_data,[nframes,nchannels])
   
time = np.arange(0, nframes) * (10.0 / framerate)

plt.figure()
plt.subplot(3,1,1)
plt.plot(time, wave_data[:,0])
plt.xlabel("time (seconds)")
plt.ylabel("Amplitude")
plt.title("Left channel")
plt.grid()

plt.subplot(3,1,3)
plt.plot(time, wave_data[:,1], c="g")
plt.xlabel("time (seconds)")
plt.ylabel("Amplitude")
plt.title("Left channel")
plt.title("right channel")
plt.grid()

plt.show()

[jklymak]

@TED-EE Questions like this are better served at discourse.matplotlib.org or stack overflow. Thanks for your understanding!