title: Python reading a csv file, and skipping the non fixed length header part
body: <p>I am reading a number of files, with non fixed-length headers included, and don't know hov to skip the "header part" until the data of interest appears. The file content looks like below, i am always interested in the contents after the line <code>"Measurement values:"</code> can i somehow use panda's <code>read_csv</code>'s <code>skiprows</code> argument, combined with a search string, or similar, to weed out the header part ? </p>
  
  <p>Any inputs are welcome :-)</p>
  
  <pre><code>Data of the Experiment
  Test started: Wed Mar 07 08:10:32 CET 2018
  Time     Revolutions     Axial Force     Radial Force
  0        0        0        0
  10        3000        0        4000
  172800        3000        0        4000
  172800        2000        0        4000
  180000        2000        0        4000
  237600        3000        0        22000
  237600        2000        0        22000
  244800        2000        0        22000
  244800        1000        0        22000
  252000        1000        0        22000
  252000        3000        0        4000
  259200        3000        0        4000
  Critical Temperature 1: 110
  Critical Temperature 2: 120
  Critical Temperature 3: 120
  Critical Temperature 4: 110
  Critical Vibration level: 3500
  Critical Torque: 7000
  Measurement values:
  Time:   Seconds elapsed [s] Torque [Nm] Speed [1/s] 
  20180307081032: 210025.02   5.25    0.00    
  20180307081033: 210025.98   17.50   3000.00 
  20180307081034: 210026.97   1688.75 3000.00 
  .
  .
  </code></pre>