'Build Relational Database from JSON using Python

I have a JSON file that needs to be analyzed/visualized, and I believe the best way to do that is to turn it into a relational database. I am using Python3.

I can list the steps taken below:

  1. Download JSON from API
  2. Cleaned JSON -> list of dictionaries (some key/value pairs contain lists)
result_list[0] ##the length of this list is about 1 million

    {'country_manufactured': 'USA',
     'brand_name': 'xyz',
     'patient_problems': ['Abscess',
       'Hemorrhage/Bleeding',
       'Unspecified Infection',
       'Inflammation'], 
     'product_problems': ['Fracture',
       'Failure to Osseointegrate',
       'Loss of Osseointegration',
       'Separation Failure',
       'Malposition of Device',
       'Device Damaged by Another Device',
       'Material Deformation',
       'Osseointegration Problem'],
     'date_of_report': '20200101'}

As you can see, I have some keys that can simply be used as columns. But for the keys like patient_problems they are chosen from a fixed table of 300+ values (I have that elsewhere in a dataframe) and the same with product_problems.

  1. I flattened the JSON to patient_problems0, patient_problems1... etc. but that is the wrong approach. How do I create a junction/associative table to solve my many-to-many problem?

result_df:

ID brand_name country_name patient_ID device_ID
0 xyz USA 0 0
1 abc Brazil 1 1

junction_df_patient: this is the table I need help building please!!!

patient_ID problem_ID
0 5
0 12
1 12

patient_problems_df:

a table with all the possible problems

problem_ID patient_problem
5 Abscess
12 Hemorrhage/Bleeding


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