--- a
+++ b/py_version/Data_Preprocessing.py
@@ -0,0 +1,55 @@
+import numpy as np
+
+# Graphing libraries
+import matplotlib.pyplot as plt
+
+
+data = np.load('data.npy', allow_pickle = True)
+labels = np.load('labels.npy', allow_pickle = True)
+
+print('Number of data points: ',data.shape[0])
+print('Number of sensors: ',data.shape[1])
+print('Signal length: ',data.shape[2])
+print('Classes: ', np.unique(labels))
+
+fig, axs = plt.subplots(nrows=2, ncols=2, figsize=(15, 8))
+fig.subplots_adjust(hspace=.35)
+((ax1, ax2), (ax3, ax4)) = axs
+plt.subplots_adjust(bottom=0.1, right=0.8, top=0.9)
+ax1.plot(data[0, 0, :], label = 'Vibration signal')
+ax1.set_title('Sensor 1')
+ax1.set(ylabel='Amplitude', xlabel='Time')
+ax2.plot(data[0, 4, :], label = 'Vibration signal')
+ax2.set_title('Sensor 4')
+ax2.set(ylabel='Amplitude', xlabel='Time')
+ax3.plot(data[0, 8, :], label = 'Vibration signal')
+ax3.set_title('Sensor 8')
+ax3.set(ylabel='Amplitude', xlabel='Time')
+ax4.plot(data[0, 12, :], label = 'Vibration signal')
+ax4.set_title('Sensor 12')
+ax4.set(ylabel='Amplitude', xlabel='Time')
+
+data = (data - np.min(data, axis = 2, keepdims = True))/(np.max(data, axis = 2, keepdims = True) - \
+                                                                    np.min(data, axis = 2, keepdims = True))
+
+
+fig, axs = plt.subplots(nrows=2, ncols=2, figsize=(15, 8))
+fig.subplots_adjust(hspace=.35)
+((ax1, ax2), (ax3, ax4)) = axs
+plt.subplots_adjust(bottom=0.1, right=0.8, top=0.9)
+ax1.plot(data[0, 0, :], label = 'Vibration signal')
+ax1.set_title('Sensor 1')
+ax1.set(ylabel='Amplitude', xlabel='Time')
+ax2.plot(data[0, 4, :], label = 'Vibration signal')
+ax2.set_title('Sensor 4')
+ax2.set(ylabel='Amplitude', xlabel='Time')
+ax3.plot(data[0, 8, :], label = 'Vibration signal')
+ax3.set_title('Sensor 8')
+ax3.set(ylabel='Amplitude', xlabel='Time')
+ax4.plot(data[0, 12, :], label = 'Vibration signal')
+ax4.set_title('Sensor 12')
+ax4.set(ylabel='Amplitude', xlabel='Time')
+
+
+np.save('data_processed.npy', data)
+np.save('labels_processed.npy', labels)
\ No newline at end of file