add npy

DataScience/Measurement.py

+import numpy as np
+import datetime as dt
+import matplotlib.pyplot as plt
+
+file_name = "measurement_20180119.npy"
+data = np.load(file_name)
+print data
+
+# Convert the timestamp to
+time = [dt.datetime.fromtimestamp(ele[0]/1000).strftime('%Y-%m-%d %H:%M:%S') for ele in data]
+
+#plotting the data
+fig, ax = plt.subplots()
+#ax.plot(time, data[:,1])
+ax.plot(data[:,1])
+plt.show()
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