def department_2(): df1 = pds.read_csv('data/word/department_1.csv', encoding='utf-8') df2 = pds.read_csv('data/word/department_2.csv', encoding='utf-8').groupby('parent') category = get_by_en('department') for name, group in df2: print name #for index, row in group.iterrows(): par = df1.loc[df1['uri'] == name] flag = par.iloc[0][0] #print flag category_2 = get_by_cn(flag, int(category.id)) #print category_2 save_onto(group, category_2)
def main(): df = pds.read_csv('data/ontology_source/disease.csv', encoding='utf-8') category = get_by_en('disease') save_onto(df, category)
def main(): df = pds.read_csv('data/word/department_1.csv', encoding='utf-8') category = get_by_en('department') save_onto(df, category)
def main(): df = pds.read_csv('data/ontology_source/dosage_form.csv', encoding='utf-8') category = get_by_en('dosage form') save_onto(df, category)
def main(): df = pds.read_csv('data/word/medicine_m_name.csv', encoding='utf-8') category = get_by_en('drug product') save_onto(df, category)
def main(): df = pds.read_csv('data/ontology_source/check.csv', encoding='utf-8') category = get_by_en('healthy_examination') save_onto(df, category)