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# Example 1 - the pickle module
import pickle
patients = {
"age" : [25.2, 35.4, 52.1],
"height" : [68.1, 62.5, 60.5],
"weight" : [170.2, 160.7, 185.5]
}
# binary serialization
serialized_patients = pickle.dumps(patients)
# deserialization
patients_reconstructed = pickle.loads(serialized_patients)
# Example 2 - pickling using pandas
import pandas as pd
patients = {
"age" : [25.2, 35.4, 52.1],
"height" : [68.1, 62.5, 60.5],
"weight" : [170.2, 160.7, 185.5]
}
patients_df = pd.DataFrame(patients)
# serialize and save to binary disk
patients_df.to_pickle('patients.txt')
# read binary serialization to Python object
patients_reconstructed = pd.read_pickle('patients.txt')
print(patients_reconstructed)
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