title: Separate float number in Pandas
body: <p>I would like to read my text file in; however, the there is no clear deliminator in this data.
  I would like to use sep=' .' ; this is not quite right to get correct format.
  ex. df = pd.read_table('data.txt', header = None, sep =' .'). Could you give me some heads-up, the correct separator for this case? Thank you!</p>
  <pre><code>cont1                7.6327.6957.5692.5951.3051.5920.8740.6810.1920.393
  cont2                7.5947.6577.5302.3831.4561.5820.8610.6860.2860.340
  cont3                7.5557.6237.4872.3701.3511.5900.8680.6830.2840.408
  cont4                7.4957.5937.3982.4261.3431.6440.9140.6770.3530.138
  cont5                7.4877.5707.4052.3201.4201.5490.9270.6600.2560.357
  cont6                7.4417.4987.3842.4481.3611.4880.8780.6380.3330.295
  </code></pre>