Json 到 CSV 问题

Json to CSV issues

我正在使用 pandas 规范化一些 json 数据。当超过 1 个部分是对象或数组时,我遇到了这个问题。

如果我在 Car 上使用 record_path,它会在第二个时损坏。

关于如何获得类似的东西以在每辆车和每个位置的 csv 中创建一行的任何指示?

[
    {
        "Name": "John Doe",
        "Car": [
            "Car1",
            "Car2"
        ],
        "Location": "Texas"
    },
    {
        "Name": "Jane Roe",
        "Car": "Car1",            
        "Location": [
            "Illinois",
            "Kansas"
        ]
    }
]

这是输出

Name,Car,Location
John Doe,"['Car1', 'Car2']",Texas
Jane Roe,Car1,"['Illinois', 'Kansas']"

代码如下:

with open('file.json') as data_file:
    data = json.load(data_file)
df = pd.io.json.json_normalize(data, errors='ignore')

希望结局是这样的:

Name,Car,Location
John Doe,Car1,Texas
John Doe,Car2,Texas
Jane Roe,Car1,Illinois
Jane Roe,Car1,Kansas

在我 运行 进入包含额外数据的 json 文件之前,答案一直很有效。这是带有额外值的文件的样子。

{
    Customers:[
    {
        "Name": "John Doe",
        "Car": [
            "Car1",
            "Car2"
        ],
        "Location": "Texas",
        "Repairs: {
            "RepairLocations": {
                "RepairsCompleted":[
                    "Fix1",
                    "Fix2"
                ]
            }
        }
    },
    {
        "Name": "Jane Roe",
        "Car": "Car1",            
        "Location": [
            "Illinois",
            "Kansas"
        ]
    }
]
}

这就是我想要的。我认为它是这种格式中最具可读性的,但至少所有的键都应该如此

Name,Car,Location,Repairs:RepairLocation
John Doe,Car1,Texas,RepairsCompleted:Fix1
John Doe,Car1,Texas,RepairsCompleted:Fix2
John Doe,Car2,Texas,RepairsCompleted:Fix1
John Doe,Car2,Texas,RepairsCompleted:Fix2
Jane Roe,Car1,Illinois,
Jane Roe,Car1,Kansas,

关于获得第二部分的任何建议?

您正在寻找这样的东西:

def expand($keys):
    . as $in
    | reduce $keys[] as $k ( [{}];
        map(. + { 
            ($k): ($in[$k] | if type == "array" then .[] else . end)
        })
    ) | .[];
(.[0] | keys_unsorted) as $h
| $h, (.[] | expand($h) | [.[$h[]]]) | @csv

REPL demo

一个简单的 jq 解决方案,它也比这里需要的更通用:

["Name", "Car", "Location"],
(.[]
 | [.Name] + (.Car|..|scalars|[.]) + (.Location|..|scalars|[.]))
| @csv