title: How to only read digital variable in data by numpy?
body: <p>I have a file like that:</p>
  <pre><code>NAME : SciFest2013 Hard
  COMMENT : O-Mopsi
  TYPE : TSP
  DIMENSION : 19
  EDGE_WEIGHT_TYPE : HVS
  NODE_COORD_SECTION
  1 29.7442602 62.60293178
  2 29.744674041895 62.598619926779
  3 29.741911701886 62.598623656726
  4 29.742301019133 62.598961607715
  5 29.745234623579 62.602818631625
  6 29.741105111344 62.599147986679
  7 29.744691895349 62.60205558507
  ...
  19 29.739264424401 62.597253963228
  EOF
  </code></pre>
  <p>I only want to read the digitial part, for example, in this file, from 1 to 19, I use:</p>
  <pre><code>rawdata = np.loadtxt(&quot;SciFest2013.txt&quot;, skiprows=6, max_rows=19)
  </code></pre>
  <p>However, in others file, it is uncertain that the row of number data, someone is from 1 to 6, someone is from 1 to 12...so how to only read the middle part(number part)?
  (it always have 6 rows need to skip in the front of data, so skiprows=6 is good enough)</p>