Data Science, Vibration Analysis, Predictive Maintenance.
ax1.set_ylabel('Signal Value', size=14) ax1.set_xticks(oneday * np.arange(22)) ax1.set_xticklabels([str(i) for i in np.arange(22)]) # Phase of the data ax2 = plt.subplot(gs[1]) ax2.scatter(phase_angles, irregular_signal, c=irregular_timesteps, cmap='Set3') ax2.set_xticks([0, 0.5 * np.pi, np.pi, 1.5