Converting the dictionary inside the list to the nested dictionary - mysql

Question

have a list of tuples, called employee_data, where each list element is a tuple that corresponds to a class and a point that a employee can earn. For example,
employee_data =
[{
"name": "asd",
"lastname": "abc",
"birthday": 15/15/2021,
"birthplace": "CA",
"live_place": "USA",
"email": "sss.com",
"website": "sss.com",
"Phone_number": "12345678901",
"work_number": "abc",
"save_date": 15/15/2021,
"start_date": 15/15/2021,
"leave_date": 15/15/2021,
"project": "End-Of-Support",
"age_in_months": 256 ,
"Age_in_Years": 15.3,
"Computer_name": 'pc1',
"computer_cpu": 8,
"computer_ram": 12,
"computer_ssd": 256,
},
{
"name": "asd",
"lastname": "abc",
"birthday": 16/15/2021,
"birthplace": "CA",
"live_place": "USA",
"email": "sss.com",
"website": "sss.com",
"Phone_number": "12345678901",
"work_number": "abc",
"save_date": 15/15/2021,
"start_date": 15/15/2021,
"leave_date": 15/15/2021,
"project": "End-Of-Support",
"age_in_months": 256 ,
"Age_in_Years": 15.3,
"Computer_name": 'pc1',
"computer_cpu": 8,
"computer_ram": 12,
"computer_ssd": 256,
}]
Nested Dict ID
name
lastname
birthday
birthplace
live_place
email
0
asd
abc
15/15/2021
USA
CAD
asd#mail.com
1
asd2
abc
16/15/2021
CAD
USA
abc#mail.com
I tried this functions but couldn't fix error.
Here's a link!
My issue is, this dictionary in list. I want to create nested dict for mapping datas.
[{0{"name": "asd",
"lastname": "abc",
"birthday": 15/15/2021,
"birthplace": "CA",
"live_place": "USA",
"email": "sss.com",}
1{"name": "asd2",
"lastname": "abc",
"birthday": 16/15/2021,
"birthplace": "CA",
"live_place": "USA",
"email": "sss.com",}]
if employee has same last name i want to get employee nestedDictID than i'll import all infomartion on different list and table ..
d = { x['lastname']: x['abc'] for x in employee_data}
KeyError: 'abc'

Answer 1

You can create a list of tuples with the required data extracted from json which you can use to export it to SQL tables. Refer the below code:
import pandas as pd
data = [(item.get('name'), item.get('lastname'),item.get('birthday'),item.get('birthplace'), item.get('live_place'), item.get('email')) for item in employee_data]
print(data)
df = pd.DataFrame.from_records(data, columns=['name', 'lastname', 'birthday','birthplace','live_place','email']))
And then you can use df.to_sql from pandas.