如何从 json 对象的嵌套列表中提取由值标识的列表？

Question

非常感谢你的帮助。我正在使用 json_normalize 访问嵌套列表“terms”并提取下面数据中的“objectid”和“medium”值。

with open('file_name.txt','r', encoding = 'utf8') as f:
data=json.loads(f.read())

df = pd.json_normalize(data, record_path = ['terms'],meta=['objectid','medium']) 
print(df)

我只想提取术语类型为“分类”和“材料”的列表，而不是提取所有列表。

"medium": "Handscroll; ink on paper",      
        "terms": [{
            "term": "Chinese",
            "aatid": 300018322,
            "id": 2033355,
            "termtype": "Culture"
        },
        {
            "term": "scroll paintings",
            "aatid": 300033666,
            "id": 2053034,
            "termtype": "Classification"
        },
        {
            "term": "handscrolls",
            "aatid": 300178463,
            "id": 2053038,
            "termtype": "Classification"
        },
        {
            "term": "tigers",
            "aatid": null,
            "id": 2127399,
            "termtype": "Subject"
        },
        {
            "term": "paper (fiber product)",
            "aatid": 300014109,
            "id": 2043813,
            "termtype": "Materials"
        },
        {
            "term": "ink",
            "aatid": 300015012,
            "id": 2167672,
            "termtype": "Materials"
        }
    ],
     "objectid": "138361",

我要打印：

                 term        aatid       id        termtype objectid                    medium
          handscrolls  300178463.0  2053038  Classification   138361  Handscroll; ink on paper
     scroll paintings  300033666.0  2053034  Classification   138361  Handscroll; ink on paper
paper (fiber product)  300014109.0  2043813       Materials   138361  Handscroll; ink on paper
                  ink  300015012.0  2167672       Materials   138361  Handscroll; ink on paper

Answer 1

如果其他一切正常，这应该可以完成工作。您的数据无效json。首先使用 https://jsonlint.com/

验证您的 json

df.loc[(df.termtype == "Classification") | (df.termtype == "Materials")]

如何从 json 对象的嵌套列表中提取由值标识的列表？

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