在 python 中分类获取 json 个对象的总和

Question

我正在解决一个问题，我想在哈希图中明确地获取 JSON 个对象的总和。这是我对散列图应该是什么样子的想法：

{name: totalScore}

这是我的示例 JSON 数据：

[
    {
        "name": "Hilary Carr",
        "submissions": [
            {
                "name": "Laudantium deleniti beatae fuga.",
                "date": "05/12/2021",
                "score": 37
            }
        ]
    },
{
        "name": "Frederick Williamson",
        "submissions": [
            {
                "name": "Expedita architecto voluptas autem veniam.",
                "date": "03/05/2009",
                "score": 47
            },
            {
                "name": "Animi facere excepturi.",
                "date": "01/02/2021",
                "score": 100
            }
        ]
    }
]

这是我试过的方法

sums = {}
score = 0
for i in json_data:
    for j in i['submissions']:
        score += j['score']
    sums[i['name']] = sums.get(i['name'], 0) + score

这是我得到的：

{
    "Frederick Williamson": 184,
    "Hilary Carr": 37
}

但结果应该是：

{
    "Frederick Williamson": 147,
    "Hilary Carr": 37
}

这可能是一个微不足道的错误，但你能帮我解决这个问题吗？

Answer 1

你可以用dict-comprehension来求和不同人的分数：

lst = [
    {
        "name": "Hilary Carr",
        "submissions": [
            {
                "name": "Laudantium deleniti beatae fuga.",
                "date": "05/12/2021",
                "score": 37,
            }
        ],
    },
    {
        "name": "Frederick Williamson",
        "submissions": [
            {
                "name": "Expedita architecto voluptas autem veniam.",
                "date": "03/05/2009",
                "score": 47,
            },
            {
                "name": "Animi facere excepturi.",
                "date": "01/02/2021",
                "score": 100,
            },
        ],
    },
]

out = {d["name"]: sum(s["score"] for s in d["submissions"]) for d in lst}

print(out)

打印：

{'Hilary Carr': 37, 'Frederick Williamson': 147}

在 python 中分类获取 json 个对象的总和

Get the sum of json objects categorically in python

python

json