带有列表的json_normalize JSON文件包含字典(包括示例)

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问题描述

这是我正在处理的2条记录的示例json文件:

This is a sample json file I'm working with with 2 records:

[{"Time":"2016-01-10",
"ID"
:13567,
"Content":{
    "Event":"UPDATE",
    "Id":{"EventID":"ABCDEFG"},
    "Story":[{
        "@ContentCat":"News",
        "Body":"Related Meeting Memo: Engagement with target firm for potential M&A.  Please be on call this weekend for news updates.",
        "BodyTextType":"PLAIN_TEXT",
        "DerivedId":{"Entity":[{"Id":"Amy","Score":70}, {"Id":"Jon","Score":70}]},
        "DerivedTopics":{"Topics":[
                            {"Id":"Meeting","Score":70},
                            {"Id":"Performance","Score":70},
                            {"Id":"Engagement","Score":100},
                            {"Id":"Salary","Score":70},
                            {"Id":"Career","Score":100}]
                        },
        "HotLevel":0,
        "LanguageString":"ENGLISH",
        "Metadata":{"ClassNum":50,
                    "Headline":"Attn: Weekend",
                    "WireId":2035,
                    "WireName":"IIS"},
        "Version":"Original"}
                ]},
"yyyymmdd":"20160110",
"month":201601},
{"Time":"2016-01-12",
"ID":13568,
"Content":{
    "Event":"DEAL",
    "Id":{"EventID":"ABCDEFG2"},
    "Story":[{
        "@ContentCat":"Details",
        "Body":"Test email contents",
        "BodyTextType":"PLAIN_TEXT",
        "DerivedId":{"Entity":[{"Id":"Bob","Score":100}, {"Id":"Jon","Score":70}, {"Id":"Jack","Score":60}]},
        "DerivedTopics":{"Topics":[
                            {"Id":"Meeting","Score":70},
                            {"Id":"Engagement","Score":100},
                            {"Id":"Salary","Score":70},
                            {"Id":"Career","Score":100}]
                        },
        "HotLevel":0,
        "LanguageString":"ENGLISH",
        "Metadata":{"ClassNum":70,
                    "Headline":"Attn: Weekend",
                    "WireId":2037,
                    "WireName":"IIS"},
        "Version":"Original"}
                ]},
"yyyymmdd":"20160112",
"month":201602}]

我正在尝试获取实体ID级别的数据帧(从记录1提取Amy和Jon以及从记录2提取Bob，Jon和Jack).

I'm trying to get to a dataframe at the level of the entity IDs (extracting Amy and Jon from record 1 and Bob, Jon, Jack from record 2).

但是我早早就遇到了错误.到目前为止，这是我的代码，假设示例json被保存为sample.json:

However I'm already getting an error early on. Here's my code so far, assuming the sample json is saved as sample.json:

data = json.load(open('sample.json'))
test = json_normalize(data, record_path=['Content', 'Story'])

导致此错误:

TypeError: string indices must be integers

我怀疑是因为Content.Story实际上是一个包含字典的列表，而不是字典本身.但是我不清楚如何真正克服这个困难?

I suspect it's because Content.Story is actually a list containing a dictionary, instead of dictionary itself. But it's not clear to me how to actually get past this?

编辑:为澄清起见，我最终尝试达到实体ID的级别(内容>故事> DerivedID>实体> ID).正在显示Content.Story代码示例，只是为了说明我现在在解决这个问题的位置.

EDIT: To clarify, I'm ultimately trying to get to the level of the entity IDs (Content > Story > DerivedID > Entity > Id). Was showing the Content.Story code example just to illustrate where I'm at right now in figuring this out.

带有列表的json

带有列表的json_normalize JSON文件包含字典(包括示例)

问题描述

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