如何在 Python 中实现相同的概念？

Question

所以这是在 pandas 数据框中排序的数据，我想使用 pathString 列中提到的层次结构创建一个像这样的 json（如下所示）。请告诉我，我可以在 python 中实现这个吗？

{
    "name":"world",
    "children":[
        {
            "name":"North America",
            "children":[
                {
                    "name":"Bermuda",
                    "continent":"North America",
                    "country":"Bermuda",
                    "GNI":106140,
                    "iso3":"BMU",
                    "population":67837
                    },
                {
                    "name":"United States",
                    "continent":"North America",
                    "country":"United States",
                    "GNI":55200,
                    "iso3":"USA",
                    "population":313973000
                    },
                {
                    "name":"Canada",
                    "continent":"North America",
                    "country":"Canada",
                    "GNI":51630,
                    "iso3":"CAN",
                    "population":33487208
                },
                {
                    "name":"Bahamas, The",
                    "continent":"North America",
                    "country":"Bahamas, The",
                    "GNI":20980,
                    "iso3":"BHS",
                    "population":309156
                    }
                    ]
        },
        {
            "name":"Europe",
            "children":[
                {
                    "name":"Norway","continent":"Europe","country":"Norway","GNI":103630,"iso3":"NOR","population":4676305
                },
                {
                    "name":"Switzerland","continent":"Europe","country":"Switzerland","GNI":88120,"iso3":"CHE","population":7604467
                },
                {"name":"Luxembourg","continent":"Europe","country":"Luxembourg","GNI":75990,"iso3":"LUX","population":491775
                }
                ]
        }

    ]}

我尝试使用递归，但无法正确实现。伙计们，如果可以的话，请帮助我，我被这个问题困扰了很长时间！如果可能，需要一些快速帮助！提前致谢！

Answer 1

如果你拆分 pathString 列会容易得多，这样你就会有更多的 3 列：

World | Continent | Country

通过这些列，您可以应用 groupby 并使用 to_json：

(
   df.groupby(['World','Continent','Country'], as_index=False)
   .reset_index()
   .to_json(orient='records'))
)

下次请把表格文件的链接放在这里，方便帮助你。