title: How to go around the problem of using np.loadtxt() if my data contains strings
body: <p>I want to use the funcion loadtxt from numpy, however, my txt data contains strings in it. How could I ignore the strings and still maintain the rows and columns of my data?</p>
  
  <pre><code>import os
  from numpy import loadtxt
  
  filename = 'C:/Users/.../Documents/.../.../.../.../.../.../report.txt'
  
  data = loadtxt(filename)
  
  # That's a sample of the data I am trying to load
  
  1 stats/cope1 2589 -3.519 -0.8423 0.02977 -0.1044 1.133 4.889 0.9278 61 29 14 7.0 -90.6 -9.4
  1 stats/cope2 2589 -4.102 -1.134 -0.04528 -0.1969 1.468 8.227 1.194 61 30 15 7.0 -88.2 -6.3
  </code></pre>
  
  <p>The output:</p>
  
  <pre><code>ValueError: could not convert string to float: stats/pe1
  </code></pre>