{k : "" for k in df_customer.columns.tolist()}
{'customer_id': '',
'customer_name': '',
'gender_cd': '',
'gender': '',
'birth_day': '',
'age': '',
'postal_cd': '',
'address': '',
'application_store_cd': '',
'application_date': '',
'status_cd': ''}