我很好奇如何使用pandas来读取以下结构的嵌套json:

{
    "number": "",
    "date": "01.10.2016",
    "name": "R 3932",
    "locations": [
        {
            "depTimeDiffMin": "0",
            "name": "Spital am Pyhrn Bahnhof",
            "arrTime": "",
            "depTime": "06:32",
            "platform": "2",
            "stationIdx": "0",
            "arrTimeDiffMin": "",
            "track": "R 3932"
        },
        {
            "depTimeDiffMin": "0",
            "name": "Windischgarsten Bahnhof",
            "arrTime": "06:37",
            "depTime": "06:40",
            "platform": "2",
            "stationIdx": "1",
            "arrTimeDiffMin": "1",
            "track": ""
        },
        {
            "depTimeDiffMin": "",
            "name": "Linz/Donau Hbf",
            "arrTime": "08:24",
            "depTime": "",
            "platform": "1A-B",
            "stationIdx": "22",
            "arrTimeDiffMin": "1",
            "track": ""
        }
    ]
}

这里将数组保持为json.我宁愿把它扩展成列.

pd.read_json("/myJson.json", orient='records')

编辑

谢谢你的第一个答案.我应该改进我的问题:数组中嵌套属性的扁平化不是强制性的.只需[A,B,C]连接df.locations ['name']即可.

我的文件包含多个JSON对象(每行1个)我想保留数字,日期,名称和位置列.但是,我需要加入这些地点. …