從 pandas json 文件中提取數據
[英]Extraction from data from pandas json file
問題描述
我有以下 json 數據文件，我已將其轉換為 pandas dataframe。 欄目如下
Index(['id', 'title', 'abstract', 'content', 'metadata'], dtype='object')
我對“元數據”列特別感興趣，該列的元素看起來像
df_json.loc[78, 'metadata']
"{'classification': {'name': 'Manufacturing, Transport & Logistics'}, 'subClassification': {'name': 'Warehousing, Storage & Distribution'}, 'area': {'name': 'Southern Suburbs & Logan'}, 'location': {'name': 'Brisbane'}, 'suburb': {'name': 'Milton'}, 'workType': {'name': 'Casual/Vacation'}}"
所以我想讓列從“元數據”列中提取信息，例如位置。 我不確定如何提取它並將其放在同一個 json 文件旁邊，並添加了諸如位置等列。
id title abstract content metadata clean_content
0 38915469 Recruitment Consultant We are looking for someone to focus purely on ... <HTML><p>Are you looking to join a thriving bu... {'standout': {'bullet1': 'Join a Sector that i... Are you looking to join a thriving business th...
1 38934839 Computers Salesperson - Coburg Passionate about exceptional customer service?... <HTML><p>· Casual hours as r... {'additionalSalaryText': 'Attractive Commissio... middotnbspnbspCasual hours as required transit...
2 38946054 Senior Developer | SA Readifarians are known for discovering the lat... <HTML><p>Readify helps organizations
1 個解決方案
解決方案1
0 2021-12-29 04:38:43
you can use pandas.json_normalize
應用於你的字符串
pd.json_normalize(eval(json_string))
#o/p
如果這對您有用，那么您可以嘗試
df["metadata"].apply(lambda x: pd.json_normalize(eval(x)))
從文本文件中提取數據
聲明:本站的技術帖子網頁，遵循CC BY-SA 4.0協議，如果您需要轉載，請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.