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)