将CSV转换为嵌套的JSON，同时将特定键的值格式化为numeric/int/

Question

我正在尝试将一个CSV文件转换成嵌套的JSON，这里是我的CSV，第一行是列

CLID,District, attribute,value
C001,Tebuslik, Name,Philip
C001,Tebuslik,Age,34
C002,Hontenlo,Name,Jane
C002,Hontenlo,Age,23

我想要的输出是一个嵌套的json，其中Age键的值是数字而不是字符串

[
    {
        "CLID": "C001",
        "District": "Tebuslik",
        "attributes": [
            {
                "attribute": "Name",
                "value": "Philip"
            },
            {
                "attribute": "Age",
                "value": 34
            }
        ]
    },
    {
        "CLID": "C002",
        "District": "Hontenlo",
        "attributes": [
            {
                "attribute": "Name",
                "value": "Jane"
            },
            {
                "attribute": "Age",
                "value": 23
            }
        ]
    }
]

在我的CSV中，所有键共享同一列（属性），值可以是字符串或数字格式，具体取决于属性

下面是我的python脚本：

from csv import DictReader
from itertools import groupby
from pprint import pprint
import json

with open('teis.csv') as csvfile:
    r = DictReader(csvfile, skipinitialspace=True)
    data = [dict(d) for d in r]

    groups = []
    uniquekeys = []

    for k, g in groupby(data, lambda r: (r['CLID'], r['District'])):
        groups.append({
            "CLID": k[0],
            "District": k[1],
            "attributes": [{k:v for k, v in d.items() if k not in ['CLID','District']} for d in list(g)]
        })
        uniquekeys.append(k)

print(json.dumps(groups, indent = 4) + '\n}')

但是，下面是我用引用的数字年龄值得到的输出

[
    {
        "CLID": "C001",
        "District": "Tebuslik",
        "attributes": [
            {
                "attribute": "Name",
                "value": "Philip"
            },
            {
                "attribute": "Age",
                "value": "34"
            }
        ]
    },
    {
        "CLID": "C002",
        "District": "Hontenlo",
        "attributes": [
            {
                "attribute": "Name",
                "value": "Jane"
            },
            {
                "attribute": "Age",
                "value": "23"
            }
        ]
    }
]

Answer 1

使用str.isdigit检查字符串，然后使用int

例如：

from csv import DictReader
from itertools import groupby
from pprint import pprint
import json

with open(filename) as csvfile:
    r = DictReader(csvfile, skipinitialspace=True)
    data = [dict(d) for d in r]

    groups = []
    uniquekeys = []

    for k, g in groupby(data, lambda r: (r['CLID'], r['District'])):
        groups.append({
            "CLID": k[0],
            "District": k[1],
            "attributes": [{k:int(v) if v.isdigit() else v for k, v in d.items() if k not in ['CLID','District']} for d in list(g)]  #Update
        })
        uniquekeys.append(k)

print(json.dumps(groups, indent = 4) + '\n}')