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拥有一组已保存到 .txt 文件的推文。

我想将某些属性放在 Python 的 sqlite 表中。我成功创建了表。

import pandas
import sqlite3
conn = sqlite3.connect('twitter.db')
c = conn.cursor()

c.execute(CREATE TABLE Tweet
(
   created_at VARCHAR2(25),
   id VARCHAR2(25),
   text VARCHAR2(25)
   source VARCHAR2(25),
   in-reply_to_user_ID VARCHAR2(25), 
   retweet_Count VARCHAR2(25)

)

在我尝试将解析后的数据添加到数据库之前，我尝试使用它创建一个数据框来查看。

tweets =pandas.read_table('file.txt', sep=',')

我得到错误：

CParserError: Error tokenizing data. C error: Expected 63 fields in line 3, saw 69

我的假设是“，”不仅分隔字段，而且在字符串中。

此外，推特数据采用我以前从未使用过的格式。每个字段以括号中的变量名开头，一个冒号，然后是更多括号分隔的数据。喜欢： 

"created_at":"Fri Oct 11 00:00:03 +0000 2013",

那么我怎样才能把它变成一个标准的表格格式，顶部有变量名呢？

推文的完整示例如下：

{"created_at":"Fri Oct 11 00:00:03 +0000 2013","id":388453908911095800,"id_str":"388453908911095809","text":"LAGI PUN VISITORS DATANG PUKUL 9 AH","source":"<a href=\"http://www.tweetdeck.com\" rel=\"nofollow\">TweetDeck</a>","truncated":false,"in_reply_to_status_id":null,"in_reply_to_status_id_str":null,"in_reply_to_user_id":null,"in_reply_to_user_id_str":null,"in_reply_to_screen_name":null,"user":{"id":447800506,"id_str":"447800506","name":"§yazwina·","screen_name":"_SAireen","location":"SSP","url":"http://flavors.me/syazwinaaireen#","description":"Absence makes the heart grow fonder. Stay us x @_DFitri's","protected":false,"followers_count":806,"friends_count":702,"listed_count":2,"created_at":"Tue Dec 27 08:29:53 +0000 2011","favourites_count":7478,"utc_offset":28800,"time_zone":"Beijing","geo_enabled":true,"verified":false,"statuses_count":32558,"lang":"en","contributors_enabled":false,"is_translator":false,"profile_background_color":"DBE9ED","profile_background_image_url":"http://a0.twimg.com/profile_background_images/378800000056283804/65d84665fbb81deba13427e8078a3eff.png","profile_background_image_url_https":"https://si0.twimg.com/profile_background_images/378800000056283804/65d84665fbb81deba13427e8078a3eff.png","profile_background_tile":true,"profile_image_url":"http://a0.twimg.com/profile_images/378800000264138431/fd9d57bd1b1609f36fd7159499a94b6e_normal.jpeg","profile_image_url_https":"https://si0.twimg.com/profile_images/378800000264138431/fd9d57bd1b1609f36fd7159499a94b6e_normal.jpeg","profile_banner_url":"https://pbs.twimg.com/profile_banners/447800506/1369969522","profile_link_color":"FA0096","profile_sidebar_border_color":"FFFFFF","profile_sidebar_fill_color":"E6F6F9","profile_text_color":"333333","profile_use_background_image":true,"default_profile":false,"default_profile_image":false,"following":null,"follow_request_sent":null,"notifications":null},"geo":null,"coordinates":null,"place":null,"contributors":null,"retweet_count":0,"favorite_count":0,"entities":{"hashtags":[],"symbols":[],"urls":[],"user_mentions":[]},"favorited":false,"retweeted":false,"filter_level":"medium","lang":"it"}
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1 回答 1

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我想已经有一个 python 库可以解决这个问题，但是一旦我替换了这些未引用的术语，我就能够将你的推文字符串解析为字典。

 false to False 
 true to True
 null to None

我只是将整个括号表达式分配给一个变量，创建一个字典。然后，您可能会通过并将键打印为标题，并将每个值打印为条目。

修复或引用这三个值也可能使pandas解析器更快乐，尽管我认为 csv 阅读器可能会更好地处理所有嵌入的逗号和单引号和双引号。我认为，JSON 解析器仍然对带有冒号的 URL 感到窒息。如果您打算尝试 JSON，您可以尝试转义它们。

于 2013-11-04T07:17:34.763 回答