尝试 Select jsonl data column in another columns with .loc 但得到 KeyError 即使密钥存在

Question

这是我的jsonl数据结构

"content": "Not yall gassing up a gay boy with no rhythm", "place": {"_type": "snscrape.modules.twitter.Place", "fullName": "Manhattan, NY", "name": "Manhattan", "type": "city", "country": "United States", "countryCode": "US"}

我尝试使用此代码select 来自地方列的国家/地区代码

country_df = test_df.loc[test_df['place'].notnull(), ['content', 'place']]
countrycode_df = country_df["place"].loc["countryCode"]

但它给了我这个错误

按键错误：'countryCode'

我该如何解决这个问题？

我试过这个method但它不适合我的情况

Answer 1

您可以通过 str 访问它：

country_df['place'].str['countryCode']

输出：

0    US
Name: place, dtype: object

Answer 2

因为“place”基本上是一个dict（一个嵌套的字典），你可以像更高级别的访问它dict

country = {"content": "Not yall gassing up a gay boy with no rhythm", "place": {"_type": "snscrape.modules.twitter.Place", "fullName": "Manhattan, NY", "name": "Manhattan", "type": "city", "country": "United States", "countryCode": "US"}}
country["place"]["countryCode"]

输出：

'US'

但是，使用 pandas json_normalize():

可能更符合您的目的

country_df = pd.json_normalize(data = country)

print(country_df )

输出：

content	place._type	place.fullName	place.name	place.type	place.country	place.countryCode
Not yall gassing up a gay boy with no rhythm	snscrape.modules.twitter.Place	Manhattan, NY	Manhattan	city	United States	US

尝试 Select jsonl data column in another columns with .loc 但得到 KeyError 即使密钥存在

Try to Select jsonl data column in another columns with .loc but got KeyError even though the key exists

python

pandas

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