title: import series-like data file into pandas
body: <p>Here is an example of the data file:</p>
  
  <pre><code> =====
   name          aaa
   place         paaa
   date          Thu Oct 1 12:02:03 2015
   load_status   198
   add_name      naaa
   [---blank line---]
   =====
   name          bbb
   place         pbbb
   date          Thu Oct 3 21:20:36 2015
   load_status   2000.327
   add_name      nbbb
   [---blank line---]
  </code></pre>
  
  <p>In one file there might be hundreds of records like that.</p>
  
  <p>I would like to get a pandas object looking like this:</p>
  
  <pre><code>   name | place | date                    | load_status | add_name
     ---------------------------------------------------------------
     aaa  | paaa  | Thu Oct 1 12:02:03 2015 | 198         | naaa
     bbb  | pbbb  | Thu Oct 3 21:20:36 2015 | 2000.327    | nbbb
  </code></pre>
  
  <p>Number of fields in each record is the same: so all records has some 'name', 'place' and etc.</p>
  
  <p>I can transpose the file with "bash+grep+awk" and then read it as csv but it's not practical for users who has only Python and Windows.
  Transposing file using Python and then read it as csv looks like overkill as I expect Pandas should be able to handle this case some how.</p>
  
  <p>I thought of Series+dtypes and read_table - but couldn't make them work for me.</p>