title: how to extract element from numpy array
body: <pre><code>ls_ord_symbols     = np.zeros((len(na_csv_orders), 1), dtype='S5')
  
  &gt;&gt;&gt; print ls_ord_symbols
  [['AAPL']
   ['IBM']
   ['GOOG']]
  
  &gt;&gt;&gt; print type(ls_ord_symbols)
  &lt;type 'numpy.ndarray'&gt;
  &gt;&gt;&gt; print type(ls_ord_symbols[0])
  &lt;type 'numpy.ndarray'&gt;
  &gt;&gt;&gt; print ls_ord_symbols[0][0]
  AAPL
  &gt;&gt;&gt; print type(ls_ord_symbols[0][0])
  &lt;type 'numpy.string_'&gt;
  &gt;&gt;&gt; print str(ls_ord_symbols[0][0])
  AAPL
  &gt;&gt;&gt; print type(str(ls_ord_symbols[0][0]))
  &lt;type 'str'&gt;
  </code></pre>
  
  <p>Question> I need to extract each element stored inside numpy.array with the original type. Here, <code>ls_ord_symbols</code> stores the string inside a numpy.array.</p>
  
  <p>I have to use the following way to extract the raw element:</p>
  
  <pre><code>str(ls_ord_symbols[i][0])
  </code></pre>
  
  <p>Is there a better way to do this given the index <code>i</code>? Basically, I expect to simply get the list of ['AAPL', 'IBM', 'GOOG'] or 'AAPL', 'IBM', 'GOOG' as each individual string while iterate through this numpy.array with index <code>i</code></p>