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I have an xml like this: 

<author ="twitter" lang="english" type="xx" age_misc="xx" url="https://twitter.com/Carmen_RRHH">
    <documents count="436">
        <document id="106259332342342348513" url="https://twitter.com/Carmen_RRHH/status/106259338234048513">       </document>
        <document id="232342342342323423" url="https://twitter.com/Carmen_RRHH/status/106260629999992832">      </document>
        <document id="107084815504908291" url="https://twitter.com/Carmen_RRHH/status/107084815504908291">      </document>
        <document id="108611036164276224" url="https://twitter.com/Carmen_RRHH/status/108611036164276224">      </document>
        <document id="23423423423423" url="https://twitter.com/Carmen_RRHH/status/108611275851956224">      </document>
        <document id="109283650823423480806912" url="https://twitter.com/Carmen_RRHH/status/109283650880806912">        </document>
        <document id="10951489623423290488320" url="https://twitter.com/Carmen_RRHH/status/109514896290488320">     </document>
        <document id="1095159513234234355080704" url="https://twitter.com/Carmen_RRHH/status/109515951355080704">       </document>
        <document id="96252622234239511966720" url="https://twitter.com/Carmen_RRHH/status/96252629511966720">      </document>
    </documents>
</author>

Is it possible to get the content of this links and place them into a pandas dataframe?, any idea of how to aproach this task?. Thanks in advance.

4

1 回答 1

3

你可以访问python，requests是一个不错的选择：

import requests
r = requests.get("https://twitter.com/Carmen_RRHH/status/106259338234048513")

r.contents # the html

但是，要将它们放入 pandas DataFrame，需要对这些内容进行结构化（如表格），通常不会......

我建议查看 twitter api，或现有的 twitter-client（对于 python），例如https://github.com/bear/python-twitter，这样你就可以干净地提取你想要的特性（到列）而不是 munging它们来自 html。

于 2015-02-04T07:12:04.677 回答