Summing Dictinary Values

I have a list of dictionaries like this`

[
    {
      "account_name": "Rounded Off (Purchase)",
      "amount": 0.28,
      "doc_date": "2023-04-05",
      "doc": "P.Inv.-1",
      "date_created": "2023-04-05T15:30:42.964203"
    },
    {
      "account_name": "Discount (Purchase)",
      "amount": 100,
      "doc_date": "2023-04-05",
      "doc": "P.Inv.-1",
      "date_created": "2023-04-05T15:30:42.964203"
    },
    {
      "account_name": "Discount (Purchase)",
      "amount": 86.4,
      "doc_date": "2023-04-05",
      "doc": "P.Inv.-1",
      "date_created": "2023-04-05T15:30:42.964203"
    }
  ]`

I would like to simplify the list by adding the "amount" if two dictionaries have the same values for "doc" and "account_name" keys e.g. in this case "account_name" : "Discount (Purchase)" and "doc" : "P.Inv-1".

I can not think of a simple solution without using a lots of placeholder variables and and multiple loops over the list.

The expected result should look like

[
    {
      "account_name": "Rounded Off (Purchase)",
      "amount": 0.28,
      "doc_date": "2023-04-05",
      "doc": "P.Inv.-1",
      "date_created": "2023-04-05T15:30:42.964203"
    },
    {
      "account_name": "Discount (Purchase)",
      "amount": 186.4,
      "doc_date": "2023-04-05",
      "doc": "P.Inv.-1",
      "date_created": "2023-04-05T15:30:42.964203"
    }
]

Any help is greatly appreciated. Thanks.

It often helps to gradually think over such problems, and perhaps use simple pen and paper to understand how our variables will evolve over time.
Some little effort now can go a long way mid-long-term.

My approach would be to create an empty list, which is populated every time your two keys are different. If they are the same it updates the amount-value. You might want to decide what happens to "data_created" field, because now I do not examine it at all (Does it keep the first 'data_created' value or the second? Why?)
Since you don't provide a reproducible example I would write something as follows:

initial_dictionary_list = [
    {
      "account_name": "Rounded Off (Purchase)",
      "amount": 0.28,
      "doc_date": "2023-04-05",
      "doc": "P.Inv.-1",
      "date_created": "2023-04-05T15:30:42.964203"
    },
    {
      "account_name": "Discount (Purchase)",
      "amount": 100,
      "doc_date": "2023-04-05",
      "doc": "P.Inv.-1",
      "date_created": "2023-04-05T15:30:42.964203"
    },
    {
      "account_name": "Discount (Purchase)",
      "amount": 86.4,
      "doc_date": "2023-04-05",
      "doc": "P.Inv.-1",
      "date_created": "2023-04-05T13:30:42.964203"
    }
  ]

from typing import Dict, List # these provide very helpful type hints

def process_dictionary_list(data: list[dict]) -> list[dict]:
    list_of_dictionaries_with_different_keys = {}
    for dictionary in dictionary_list:
        key = (dictionary['account_name'], dictionary['doc'])
        if key in list_of_dictionaries_with_different_keys:
            list_of_dictionaries_with_different_keys[key]['amount'] += dictionary['amount']
        else:
            list_of_dictionaries_with_different_keys[key] = dictionary.copy()
    return list(list_of_dictionaries_with_different_keys.values())

final_dictionary_list = process_dictionary_list(initial_dictionary_list)

print(final_dictionary_list)
# [{'account_name': 'Rounded Off (Purchase)', 'amount': 0.28, 'doc_date': '2023-04-05', 'doc': 'P.Inv.-1', 'date_created': '2023-04-05T15:30:42.964203'}, {'account_name': 'Discount (Purchase)', 'amount': 186.4, 'doc_date': '2023-04-05', 'doc': 'P.Inv.-1', 'date_created': '2023-04-05T15:30:42.964203'}]