def calculate_CS(weight,height,wc,hc,sex,age):
    aList = []
    df_flask = pd.DataFrame([[weight,height,wc,hc,sex,age]],columns=['weight','height','wc','hc','sex','age'])
    for i,row in df.iterrows():
        result = cosine_similarity(df1.iloc[[i]],df_flask.iloc[[0]])[0][0]
        aList.append([i,result])
    aList = sorted(aList,key=lambda l:l[1], reverse=True)
    return aList[0:5]
    #return aList[0]

def get_data(n):
    id = df.iloc[n]['person_id']
    return treatments['value_text'][(treatments['person_id'] == id)]

list_treatments = []
        for row in res:
            print get_data(row[0])
            list_treatments.append(get_data(row[0]))