title: strange result. txt file to np.array
body: <p>I'm trying to do something simple but for some reason I cannot. I have been looking for related answers in the site but I haven't been able to accomplish.</p>
  
  <p>So, I'm trying to import a text file, csv, or rtf to an np.array, so far I have got</p>
  
  <p>example.cvs is a file with</p>
  
  <p>881.00,882.00<br>
   883.00,884.00 </p>
  
  <pre><code>&gt;&gt;&gt; import numpy as np
  &gt;&gt;&gt; txtdata = np.genfromtxt('example.cvs',usecols=0, dtype='S51',delimiter=',') 
  
  &gt;&gt;&gt; txtdata
  array(['{\\rtf1\\ansi\\ansicpg1252\\cocoartf1265\\cocoasubrtf190',
         '{\\fonttbl\\f0\\fswiss\\fcharset0 Helvetica;}',
         '{\\colortbl;\\red255\\green255\\blue255;}',
         '\\margl1440\\margr1440\\vieww10800\\viewh8400\\viewkind0',
         '\\pard\\tx566\\tx1133\\tx1700\\tx2267\\tx2834\\tx3401\\tx39',
         '\\f0\\fs24 \\cf0  881.00', '883.00'], 
        dtype='|S51')
  </code></pre>
  
  <p>I don't know why comes with all this stuff, I just want an array with those 4 numbers. A 2x2 Matrix.</p>
  
  <p>Thanks</p>