title: Pandas dataframe does not separate columns according to comma in csv
body: <p>I want to create a matrix according to the table from CSV data</p>
  
  <pre><code>COEFFICIENT MATRIX 
  ,0,1,2,3,4
  0,0.00876623398408,0.525189723661,0.528495953628,0.94228622319,0.0379073884588
  1,0.434693398364,0.77017930965,0.00847865052462,0.544319471939,0.858970329817
  2,0.978091233581,0.900800004769,0.504567295427,0.65499490009,0.397203736755
  3,0.671510258373,0.554713361673,0.377098128478,0.246977226206,0.535900353082
  ...
  5000,0.791781572037,0.70262685963,0.218775600741,0.19802280762,0.68177855465
  </code></pre>
  
  <p>I'm using pandas for reading csv and return a matrix. Instead of getting matrix.shape = 5001*5, I got 5002*1. </p>
  
  <p>How to make pandas dataframe  separate the right number of columns according to comma from CSV, and don't count the header (after the table title) as the first row?</p>
  
  <pre><code> input = pd.read_csv(coeff_file, skiprows=0)
   input_mat = input.as_matrix()
  
   print input.shape
   print type(input)
  
   print input_mat.shape
   print type(input_mat)
  </code></pre>
  
  <p>return</p>
  
  <pre><code>(5002, 1)
  &lt;class 'pandas.core.frame.DataFrame'&gt;
  (5002, 1)
  &lt;type 'numpy.ndarray'&gt;
  </code></pre>