如何将嵌套的JSON格式化为迭代过程格式

def flatten_json(data):
    result = {}

    def flatten(obj, prefix=''):
        if isinstance(obj, dict):
            for key, value in obj.items():
                flatten(value, prefix + key + '.')
        elif isinstance(obj, list):
            for i, item in enumerate(obj):
                flatten(item, prefix + str(i) + '.')
        else:
            result[prefix[:-1]] = obj

    flatten(data)
    return result

nested_json = {
    "person": {
        "name": "John",
        "age": 30,
        "address": {
            "street": "123 Street",
            "city": "New York"
        }
    },
    "scores": [10, 20, 30]
}

flatten_result = flatten_json(nested_json)
print(flatten_result)

{
    "person.name": "John",
    "person.age": 30,
    "person.address.street": "123 Street",
    "person.address.city": "New York",
    "scores.0": 10,
    "scores.1": 20,
    "scores.2": 30
}