title: Get count of non zero values per row in Pandas DataFrame
body: <p>I know this is a simple question, but I'm very new to Pandas.
  I want to compare for each row the cells to see if any of the cells in the columns are more or less than 0.00.</p>
  
  <pre><code>              GOOG    AAPL     XOM     IBM       Value
  2011-01-10     0.0     0.0     0.0     0.0       0.00
  2011-01-13     0.0 -1500.0     0.0  4000.0  -61900.00
  </code></pre>
  
  <p>I know that pandas have built in the iterrows. However, with the following piece of code  I'm receiving an error</p>
  
  <pre><code>for index, row in dataFrame.iterrows():
      for i in range(0, len(of_columns)):
          print dataFrame[index][i]
  </code></pre>
  
  <p><strong>Error</strong></p>
  
  <blockquote>
    <p>return self._engine.get_loc(self._maybe_cast_indexer(key))
      File "pandas\index.pyx", line 132, in pandas.index.IndexEngine.get_loc (pandas\index.c:4433)
      File "pandas\index.pyx", line 154, in pandas.index.IndexEngine.get_loc (pandas\index.c:4279)
      File "pandas\src\hashtable_class_helper.pxi", line 732, in pandas.hashtable.PyObjectHashTable.get_item (pandas\hashtable.c:13742)
      File "pandas\src\hashtable_class_helper.pxi", line 740, in pandas.hashtable.PyObjectHashTable.get_item (pandas\hashtable.c:13696)</p>
  </blockquote>
  
  <p><strong>Intended action</strong>
  If the cell contains 0, do nothing (continue). If the cell contains other than zero, then give count of non zero values per row</p>