title: How to manipulate the data after numpy.loadtxt?
body: <p>I have raw data such as below. for example, We load text file which has 1st row has xlabel, 1st column is ylabel. lets call file name is '131014-data-xy-conv-1.txt'.</p>
  
  <pre><code>Y/X (mm),   0,  10, 20, 30, 40
  686.6,  -5.02,  -0.417, 0,  100.627,    0
  694.08, -5.02,  -4.529, -17.731,    -5.309, -3.535
  701.56, 1.869,  -4.529, -17.731,    -5.309, -3.535
  709.04, 1.869,  -4.689, -17.667,    -5.704, -3.482
  716.52, 4.572,  -4.689, -17.186,    -5.704, -2.51 
  724,    4.572,  -4.486, -17.186,    -5.138, -2.51
  731.48, 6.323,  -4.486, -16.396,    -5.138, -1.933
  738.96, 6.323,  -4.977, -16.396,    -5.319, -1.933
  746.44, 7.007,  -4.251, -16.577,    -5.319, -1.688
  753.92, 7.007,  -4.251, -16.577,    -5.618, -1.688
  761.4,  7.338,  -3.514, -16.78, -5.618, -1.207
  768.88, 7.338,  -3.514, -16.78, -4.657, -1.207
  776.36, 7.263,  -3.877, -15.99, -4.657, -0.822
  </code></pre>
  
  <p>(Q1) As you can see the raw data, they has xlabel and ylabel in respectively 1st row, 1st column. If I use numpy.loadtxt function, How to split "xs" and "ys" ?  </p>
  
  <pre><code>rawdata = numpy.loadtxt('131014-data-xy-conv-1.txt')
  xs, ys, data = func(rawdata)
  </code></pre>
  
  <p>Do I have to implement additional logic ? or is there any function ? </p>