数据集有一个向量“ user_json ”，其中包含一些序列化的 json 字符串。
data_dir = 'data'
filename = 'gender_age_dataset.txt'
file_path = '/'.join([data_dir,filename])
df = pd.read_csv(file_path, sep='\t')
一行'user_json'包含什么-属性'url'和'timestamp'
print(json.loads(df.iloc[0].user_json)):
{'visits': [{'url': 'http://zebra-zoya.ru/200028-chehol-organayzer-dlja-macbook-11-grid-it.html?utm_campaign=397720794&utm_content=397729344&utm_medium=cpc&utm_source=begun', 'timestamp': 1419688144068}, {'url': 'http://news.yandex.ru/yandsearch?cl4url=chezasite.com/htc/htc-one-m9-delay-86327.html&lr=213&rpt=story', 'timestamp': 1426666298001}, {'url': 'http://www.sotovik.ru/news/240283-htc-one-m9-zaderzhivaetsja.html', 'timestamp': 1426666298000}, {'url': 'http://news.yandex.ru/yandsearch?cl4url=chezasite.com/htc/htc-one-m9-delay-86327.html&lr=213&rpt=story', 'timestamp': 1426661722001}, {'url': 'http://www.sotovik.ru/news/240283-htc-one-m9-zaderzhivaetsja.html', 'timestamp': 1426661722000}]}
带有标题的示例 2 行：
gender age uid user_json
F 18-24 d50192e5-c44e-4ae8-ae7a-7cfe67c8b777 {"visits": [{"url": "http://zebra-zoya.ru/200028-chehol-organayzer-dlja-macbook-11-grid-it.html?utm_campaign=397720794&utm_content=397729344&utm_medium=cpc&utm_source=begun", "timestamp": 1419688144068}, {"url": "http://news.yandex.ru/yandsearch?cl4url=chezasite.com/htc/htc-one-m9-delay-86327.html&lr=213&rpt=story", "timestamp": 1426666298001}, {"url": "http://www.sotovik.ru/news/240283-htc-one-m9-zaderzhivaetsja.html", "timestamp": 1426666298000}, {"url": "http://news.yandex.ru/yandsearch?cl4url=chezasite.com/htc/htc-one-m9-delay-86327.html&lr=213&rpt=story", "timestamp": 1426661722001}, {"url": "http://www.sotovik.ru/news/240283-htc-one-m9-zaderzhivaetsja.html", "timestamp": 1426661722000}]}
M 25-34 d502331d-621e-4721-ada2-5d30b2c3801f {"visits": [{"url": "http://sweetrading.ru/?p=900", "timestamp": 1419717886224}, {"url": "http://sweetrading.ru/?p=884", "timestamp": 1419717884437}, {"url": "http://sweetrading.ru/?p=1002", "timestamp": 1419717816375}, {"url": "http://101.ru/?an=port_channel_mp3", "timestamp": 1419717804934}, {"url": "http://sweetrading.ru/?cat=62", "timestamp": 1419714194423}, {"url": "http://sweetrading.ru/?p=1046", "timestamp": 1419713998481}, {"url": "http://sweetrading.ru/?p=978", "timestamp": 1419713927085}, {"url": "http://sweetrading.ru/?cat=171", "timestamp": 1419713908863}, {"url": "http://sweetrading.ru/?cat=62", "timestamp": 1419713908679}, {"url": "http://sweetrading.ru/?p=3648", "timestamp": 1419713798879}, {"url": "http://oesex.ru/955457", "timestamp": 1419595564407}, {"url": "http://www.interfax.ru/russia/408800", "timestamp": 1419542965224}, {"url": "http://101.ru/?an=port_channel_mp3&channel=30", "timestamp": 1418818241900}, {"url": "http://www.interfax.ru/russia/413508", "timestamp": 1418802080857}, {"url": "http://www.euroavtoprokat.ru/sitemap/car-rental/france.htm", "timestamp": 1418722961181}, {"url": "http://www.euroavtoprokat.ru/sitemap/car-rental.htm", "timestamp": 1418722945825}, {"url": "http://www.euroavtoprokat.ru/car-rental/germany.htm", "timestamp": 1418722937847}, {"url": "http://www.euroavtoprokat.ru/car-rental/germany.htm", "timestamp": 1418722923196}, {"url": "http://www.euroavtoprokat.ru/sitemap/car-rental.htm", "timestamp": 1418722909804}, {"url": "http://www.eavtoprokat.ru/prokat-avto/france", "timestamp": 1418646101953}, {"url": "http://www.wordparts.ru/numeral/", "timestamp": 1418592793587}, {"url": "http://rsdn.ru/forum/alg/3305190.flat", "timestamp": 1418591162814}, {"url": "http://www.euroavtoprokat.ru/car-rental/turkey/istanbul.htm", "timestamp": 1418571531780}, {"url": "http://citieslist.ru/", "timestamp": 1418488992092}, {"url": "http://www.euroavtoprokat.ru/car-rental/turkey/istanbul.htm", "timestamp": 1418480798674}, {"url": "http://rutv.ru/brand/show/episode/453757", "timestamp": 1418253037406}, {"url": "http://www.fodors.com/community/europe/best-car-rental-company-in-italy.cfm", "timestamp": 1418247198586}, {"url": "http://wheelsabroad.com/car-rental/united-kingdom/england/london?gclid=cjwkeaia-5-kbrdylpg5096r8masjabqedm4cmiichc-_-ewkbtsqyci5bu9ucwvjmxp4o0tficaarocljdw_wcb", "timestamp": 1418245144696}, {"url": "http://lestinet.com/site/stopagent.ru", "timestamp": 1418243376170}, {"url": "http://android-help.ru/q2a/16774/\u043a\u0430\u043a-\u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c-root-\u043f\u0440\u0430\u0432\u0430-\u043d\u0430-philips-w832-android-4-0-4", "timestamp": 1418169606439}, {"url": 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需要'url'和'timestamp'成为df数据集向量，如何实现？
您可以使用pd.io.json.json_normalize()来解析复杂（嵌套）JSON（或字典） ，但最好先将数据转换为字典：