Loading a json file and writing to csv in python

main_1.py

import json
import csv

with open('./test.json', 'r') as f1:
    # read data as string.
    data_json = f1.read()
    # loads method converts string data into dictionary.
    dict1=json.loads(data_json)
    print(dict1)
    # accessing data
    # access td first, from td, access a.
    print(dict1['td']['a'])
    # access arr first, from arr access 0th index, which has a2 data, once at 0th index, access a2 data.
    print(dict1['arr'][0]['a2'])
    
# writing to csv
with open('./output.csv', 'w') as f2:
    csv_writer = csv.writer(f2)
    csv_writer.writerow(['A','B'])
    csv_writer.writerow([dict1['td']['a'], dict1['arr'][0]['a2']])

main_2.py

import json
import csv

with open('./test_2.json', 'r') as f1:
    # read data as string.
    data_json = f1.read()
    # loads method converts string data into dictionary.
    list1=json.loads(data_json)
    print(list1)
    # accessing data
    for row in list1:
        print(row)
    # access row by index
    print(list1[0])
    
    
# # writing to csv
with open('./output2.csv', 'w') as f2:
    csv_writer = csv.writer(f2)
    csv_writer.writerow(['A','B'])
    for row in list1:
        csv_writer.writerow([row['td']['a'], row['arr'][0]['a2']])

output.csv

output_2.csv

test.json

{
   "td":{
      "a":"Apple",
      "b":"Bat"
   },
   "cd":{
      "a1":"Al",
      "b1":"Bob"
   },
   "arr":[
      {
         "a2":"Azerbaijan"
      },
      {
         "b2":"Baku"
      }
   ]
}

test_2.json

[
   {
      "td":{
         "a":"Apple",
         "b":"Bat"
      },
      "cd":{
         "a1":"Al",
         "b1":"Bob"
      },
      "arr":[
         {
            "a2":"Azerbaijan"
         },
         {
            "b2":"Baku"
         }
      ]
   },
   {
      "td":{
         "a":"Apricot",
         "b":"Bus"
      },
      "cd":{
         "a1":"Aaron",
         "b1":"Brian"
      },
      "arr":[
         {
            "a2":"Argentina"
         },
         {
            "b2":"Buenos Aires"
         }
      ]
   }
]