title: How to read different measures from files into and save?
body: <p>I have few csv files that all of the has the following information:</p>
  
  <p><a href="https://i.stack.imgur.com/YBCji.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/YBCji.png" alt="enter image description here"></a></p>
  
  <p>I need to take each row from every CSV files and add as a row in each different Label separately to be able to take the mean of all measures among all CSV files. I wrote the following lines, but I do not know how to write in an efficient and clean way. defining 6 different <code>numpy</code> arrays and then adding each row of <code>csv</code> to them separately does not seem a smart way of writing code. what do you suggest? Thanks</p>
  
  <pre><code>for filename in csv_files:
       print 'reading CSV file '+ filename
       file_path=join(csv_dir, filename)
       csv = np.genfromtxt (file_path, delimiter=",")
  </code></pre>