Python:从JSON到CSV的转换

问题描述 投票:-3回答:1

CSV FIle

需要将CSV格式固定为JSON转换的CSV建议。我的JSON如下所示:

请建议使用任何python库/或相关线程。

    {
    "database": "test",
    "schema": "test",
    "table": "order_info",
    "description": "Each order generated on system can be tracked here with key information related to customers, merchant and Cost of the order",
    "frequency": "120",
    "columns": [
        {
            "name": "id",
            "type": "integer",
            "description": "Primary key of the table, refers each unique order placed by customer",
            "is_nullable": false,
            "logic": null,
            "comments": ""
        },
        {
            "name": "creation_ts",
            "type": "timestamp without time zone",
            "description": "Order Creation Time (UTC)",
            "is_nullable": false,
            "logic": null,
            "comments": ""
        },
        {
            "name": "update_ts",
            "type": "timestamp without time zone",
            "description": "Order Updation time (UTC)",
            "is_nullable": false,
            "logic": null,
            "comments": ""
        }

    ]


}
python json
1个回答
0
投票

您可以非常方便地使用熊猫,首先将json字符串加载到字典中,然后在该字典上使用数据框来获取所需的内容。在代码中:

import pandas as pd
import json


json_string =  """{
"database": "test",
"schema": "test",
"table": "order_info",
"description": "Each order generated on system can be tracked here with key information related to customers, merchant and Cost of the order",
"frequency": "120",
"columns": [
    {
        "name": "id",
        "type": "integer",
        "description": "Primary key of the table, refers each unique order placed by customer",
        "is_nullable": false,
        "logic": null,
        "comments": ""
    },
    {
        "name": "creation_ts",
        "type": "timestamp without time zone",
        "description": "Order Creation Time (UTC)",
        "is_nullable": false,
        "logic": null,
        "comments": ""
    },
    {
        "name": "update_ts",
        "type": "timestamp without time zone",
        "description": "Order Updation time (UTC)",
        "is_nullable": false,
        "logic": null,
        "comments": ""
    }

]


}"""

parsed = json.loads(json_string)
df = pd.DataFrame(parsed["columns"])

[如果您想做相反的事情,只需将csv加载到DataFrame中并执行df.to_json()

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