title: load csv into 2D matrix with numpy for plotting
body: <p>Given this CSV file:</p>
  
  <pre><code>"A","B","C","D","E","F","timestamp"
  611.88243,9089.5601,5133.0,864.07514,1715.37476,765.22777,1.291111964948E12
  611.88243,9089.5601,5133.0,864.07514,1715.37476,765.22777,1.291113113366E12
  611.88243,9089.5601,5133.0,864.07514,1715.37476,765.22777,1.291120650486E12
  </code></pre>
  
  <p>I simply want to load it as a matrix/ndarray with 3 rows and 7 columns.  However, for some reason, all I can get out of numpy is an ndarray with 3 rows (one per line) and no columns.</p>
  
  <pre><code>r = np.genfromtxt(fname,delimiter=',',dtype=None, names=True)
  print r
  print r.shape
  
  [ (611.88243, 9089.5601000000006, 5133.0, 864.07514000000003, 1715.3747599999999, 765.22776999999996, 1291111964948.0)
   (611.88243, 9089.5601000000006, 5133.0, 864.07514000000003, 1715.3747599999999, 765.22776999999996, 1291113113366.0)
   (611.88243, 9089.5601000000006, 5133.0, 864.07514000000003, 1715.3747599999999, 765.22776999999996, 1291120650486.0)]
  (3,)
  </code></pre>
  
  <p>I can manually iterate and hack it into the shape I want, but this seems silly.  I just want to load it as a proper matrix so I can slice it across different dimensions and plot it, just like in matlab.</p>