text_plain_output_1.png
import matplotlib.pyplot as plt

fig, ax = plt.subplots(2, 1, figsize=(20, 10))
ax[0].plot(train['acoustic_data'].values[::100], color='g')
ax[0].set_title('Acoustic data for 1% sample data')
ax[0].set_xlabel('Index')
ax[0].set_ylabel('Acoustic Data Signal')
ax[1].plot(train['time_to_failure'].values[::100], color='b')
ax[1].set_title('Time to Failure for 1% sample data')
ax[1].set_xlabel('Index')
ax[1].set_ylabel('Time to Failure in ms')