title: How to use read_html to read a table with 2 class attrs?
body: <p>I am trying to scrape the prices of fund in:</p>
  
  <p><a href="http://www.prudential.com.hk/PruServlet?module=fund&amp;purpose=searchHistFund&amp;fundCd=JAS_U" rel="nofollow">http://www.prudential.com.hk/PruServlet?module=fund&amp;purpose=searchHistFund&amp;fundCd=JAS_U</a></p>
  
  <p>but the class attribute of the rows in table are different, there are "class":"fundPriceCell1" and "fundPriceCell2":</p>
  
  <pre><code>&lt;tr&gt;
  &lt;td align="center" class="fundPriceCell1"&gt;08/11/2013&lt;/td&gt;&lt;td align="center" class="fundPriceCell1"&gt;118.2500&lt;/td&gt;&lt;td align="center" class="fundPriceCell1"&gt;118.2500&lt;/td&gt;
  &lt;/tr&gt;
  &lt;tr&gt;
  &lt;td align="center" class="fundPriceCell2"&gt;07/11/2013&lt;/td&gt;&lt;td align="center" class="fundPriceCell2"&gt;118.9800&lt;/td&gt;&lt;td align="center" class="fundPriceCell2"&gt;118.9800&lt;/td&gt;
  &lt;/tr&gt;
  </code></pre>
  
  <p>How do I scrape the table? It is wrong but how to fix it?</p>
  
  <pre><code>import pandas as pd
  import requests
  url = 'http://www.prudential.com.hk/PruServlet?module=fund&amp;purpose=searchHistFund&amp;fundCd=JAS_U'
  tables = pd.read_html(requests.get(url).text, attrs={"class":"fundPriceCell1"})
  </code></pre>